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REGULATORY TOXICOLOGY AND PHARMACOLOGY 7, l --20 { \ 987>
Criteria for Identifying and Classifying Carcinogens,
Mutagens, and Teratogens
Developed Jointly by an International Working Party of Experts, Organized under the Auspices of the
Safely ofChemicals Committee ofCEFIC InternationalAffairs Group ofCMA/SOCMA
and Canadian Chemical Producers Association'
Received May 29, 1986
AUTHORS
Cochairmen
B. BROECKER, Head of Department Umweltchemikalien, Hoechst AG. Postfach 800320. D-6230 Frankfurt Am Main 80, West Germany.
E. J. SowiNSKJ, Corporate Manager, Toxicology. Industrial Hygiene.
Product Safety, Uniroyal Chemical Company Inc., Middlebury, Connecticut 06749.
Carcinogenic Criteria
J. Faccini, Consultant Toxicologist, ECETOC, Brussels, Belgium. J. T. Barr, Manager ofRegulatory Response, Air Products and Chemi cals, Inc., Allentown, Pennsylvania 18105. S. BeEKHUJZEN, Referent Safety Department, Bayer, Leverkusen, Federal Republic ofGermany. C. S. Weil, Corporate Fellow, Toxicology, Union Carbide Corporation (Retired), Past President Society of Toxicology, Consultant, 4326 McCaslin Street; Pittsburgh, Pennsylvania 15217.1
1 Authors arc listed according to study groups. Appendix I gives the various working parties. t
0273-2300/87 S3.00 Copyright IW by Academic Pros. Inc. AU rights of reproduction In any form reserved.
AP00055067
2 Mutagenic Criteria
SOW[NSKJ ET AL.
H. P. Gelbke, Certified Specialist in Toxicology DPHC. Director ofDepartment of Toxicology, BASF, Ludwigshafen, Federal Republic of Germany.
H. Fleio, Department of Toxicology, BASF, Ludwigshafen, Federal Republic ofGermany.
D. W. MaTHESON, Manager of In-Vitro Toxicology, Stauffer Chemical Company, Farmington, Connecticut 06032.
G. C. Granville, Manager, Toxicology and Material Safety, Shell Canada Ltd., Calgary, Alberta, Canada.
W. Rozenboom, Dangerous Substances, Regulatory Affairs Liaison, Shell International Petroleum, The Hague. The Netherlands.
Teratogenic Criteria
D. M. FERGUSON, Director ofScientific Affairs, ICI Americas Inc., Wilmington, Delaware 19897.
I. F. Carney, Central Toxicology Adviser, Imperial Chemical Industries pic Central Toxicology Laboratory, Cheshire, Great Britain.
Epidemiologic Criteria
S. PELL, Epidemiologist, E. I. DuPont de Nemoursand Company (Retired). Consultant, 1416 Emory Road, Wilmington, Delaware 19803.
A. Munn, Director, Medicine and Environmental Health, Monsanto Europe. Brussels, Belgium.
J. C. AUBRUN, Chief Medical Advisor, Rhone-Poulenc, Courbevoie, France.
M. J. Reape, Director ofHealth Services, FMC Corporation, Philadelphia, Pennsylvania.
Increasingly good science is being done in uncovering and identifying chemical hazards and risks. However, we lack an adequate language worldwide for communicating the conclusions of toxicological science with all its inherent uncertainty. Effective communication of chemical
hazards and risks requires a basic framework ofdefinitions or criteria, representative of current science, upon which adequate language for communicating conclusions can be based. This paper puts forth a set ofworking criteria offering consistent guidance for identifying and classifying carcinogens, mutagens, and teratogens. These criteria represent an attempt to {1) harmonize principles in the hazard identification of carcinogenic, mutagenic, and teratogenic substances; (2) provide guidance for the purpose ofjudging the relevance of experimental data, on a weight
ofevidence approach* and (3) serve as a constructive factor in discussions with authorities when differences in respective regulations are an issue. These criteria may serve as a consistent and harmonized basis upon which chronic health hazards are classified and identified for health protection purposes, I9S7 Academic Prea. lac.
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CRITERIA FOR CARCINOGENS. MUTAGENS. AND TERATOCENS INTRODUCTION
3
A tripartite group of industrial experts from Europe. Canada, and the United States, dealing with toxicology, epidemiology, and chemical classification, has devel oped a set ofworking criteria offering consistent guidance for identifying and classify ing carcinogens, mutagens, and teratogens. These criteria represent an attempt to (1) harmonize principles in the hazard identification of carcinogenic, mutagenic, and teratogenic substances; (2) provide guidance for the purpose ofjudging the relevance of experimental data, on a weight of evidence approach; and (3) serve as a construc tive factor in discussions with authorities when differences in respective regulations are an issue. These criteria may serve as a consistent and harmonized basis upon which chronic health hazards are classified and identified for health protection purposes.
A main purpose of this exercise is to minimize international trade distortions caused by the use of differing classification schemes for carcinogens, mutagens, and teratogens.
The set ofguidelines developed is based on existing relevant documents which exist worldwide and which vary in detail and scope (1-L2). Appendix II is a comparison ofsome currently relevant approaches for classifying chemicals as carcinogens, muta gens, or teratogens.
The following papers were prepared by the Working Party:
"Criteria for Classifying Chemicals as Carcinogens," "Criteria for Classifying Chemicals as Mutagens," "Criteria for Classifying Chemicals as Teratogens," and "Criteria for Inferring Causality from Epidemiological Studies."
The fourth paper, "Criteria for Inferring Causality from Epidemiological Studies," was included because standards for epidemiological findings are very often not ade quately covered in existing identification and classification schemes.
It is not intended in this paper to comment directly on existing relevant documents. nor to initiate a completely novel set of concepts for organizing the relevant science. Moreover, these documents do not set a standard for classifying chronic health haz ards but do reflect the thinking of the group of scientists who participated in this effort.
GENERAL PRINCIPLES FOR CLASSIFICATION: DISCUSSION
Carcinogens
The purpose for classifying carcinogens is to provide guidance forjudging human and animal data on proven and suspected carcinogens so that appropriate and consis tent interpretations as to their relevance to humans can be made.
No attempt has been made to review the current state ofthe science of carcinoge nicity. This has been done recently by the U.S. Office of Science and Technology Policy (OSTP) and others (13, 14). It is assumed, however, that all available scientific data relevant to the carcinogenicity ofa substance have been assembled before begin-
AP00055069
4 SOWINSKJ ET AL.
fling an assessment of this substance, and that the nature and quality of the data are considered in its acceptance.
The definition of a carcinogen implies that it causes malignant tumors; however, it is recognized that a precise distinction between benign and malignant tumors is not always possible and that in certain instances, e.g., some endocrine tumors, it is valid to combine them when assessing incidence in a particular organ (7). Nevertheless, the finding of an increase in malignant tumors is the hallmark of carcinogenicity and for this reason it is stressed in this text. Similarly, For a substance to be considered a suspected carcinogen to humans or a proven animal carcinogen of potential rele vance to humans under expected conditions of exposure, it will normally need to be genotoxic, as well as giving a positive result in appropriately performed animal carcinogenicity bioassays. The exact relevance to man of chemicals that are positive in a bioassay but negative in a battery of short-term tests for genotoxicity is not clear and these substances particularly--as with all chemicals--need Co be considered on a case-by-case basis for hazard classification in the groups below. The very large varia tions in potency and latency ofcarcinogens have not been utilized in classifying sub stances for hazard identification purposes, but these properties should be considered when making risk management decisions.
[n evaluating the available data, it has to be realized that no single piece ofevidence by itself provides the definitive answer. It is only when all the evidence is evaluated that implications to human health can be defined. It is particularly important when considering the relevance of ambient exposures to humans that the mechanism of action and the probable shape of the dose-response curve at very low doses be con sidered.
The majority ofclassifications currently employed, e.g., European Economic Com munity (EEC) (1), Environmental Protection Agency (EPA) (2), International Agency for Research on Cancer (IARC) (5), European Chemical Industry Ecology and Toxicology Centre (ECETOC) (9) envisage three broad categories ofcarcinogens. Some regulations utilize classifications made by others, e.g.. Occupational Safety and Health Administration (OSHA) and Workplace Hazardous Materials Information System (WHMIS) (3, 4). The expanded classification used in this document is in tended to be compatible with these other systems but does not correspond exactly with any of those systems, which, incidentally, do not correspond precisely with each other.
Mutagens
The classification ofchemicals into various categories according to their mutagenic properties as described here is based on a weight of evidence consideration of avail able test results. The goal of this exercise is to detail the criteria for this classification and compare them with existing systems (1,2, 4).
Many test systems are used today to provide indications of the mutagenicity of chemicals, including highly complex intergenerationai animal studies with the poten tial for direct indication of a heritable effect. Most of the test systems, however, only give results relating to part of the mutagenic spectrum. This reality is reflected in the following classification scheme by the inclusion of multiple endpoint criteria.
The current literature attributes up to 10% of human ill health to defective or dis ease predisposing genes and further shows that 1% ofah live newborns inherit genetic
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CRITERIA FOR CARCINOGENS. MUTAGENS. AND TERATOGENS
defects, some of which can be ascribed to new mutations in the parental germ line. Approximately another 1% ofall newborns bear chromosome abnormalities ofsome type (15, 16). This high background incidence of genetic damage and problems in the identification and classification of mutagenic effects in humans makes the epide miologic investigation of heritable effects caused by one specific agent very difficult (17). It should be noted that direct evidence for the occurrence ofa causal relationship linking chemical exposure and an increase in the frequency of occurrence of a herita ble effect in a human population has never been shown. The absence of this sort of evidence in humans does not rule out the potential for human DNA and chromo somes to be affected in ways comparable to those that have been observ ed experimen tally in laboratory animals and, therefore, there must be concern about the possible hazards ofchemicals causing heritable effects. Animal studies and supporting in vitro studies are currently used to predict genetic hazard associated with chemical ex posure.
Predictions of relative hazard are generally made from a weight of evidence ap proach. Since evidence of germ cell mutagenicity is of greatest concern, animal tests measuring this are placed in the highest possible category. Other evidence results in the classification ofa substance in a category of lower h uman concern.
Some further general remarks on classifying mutagens are listed below:
(1) In the classification of mutagens only the potential hazard for humans is rele vant, mammals being taken as predictive substitutes.
(2) For classification purposes, the mutagenic event ofconcern is the transmission of heritable effects through the germ cells to the next generation. Evidence for muta genicity in somatic cells may provide useful information relating to this concern.
(3) Gene mutation and chromosomal aberrations are the specific endpoints to be considered. These should be regarded as separate mutagenic endpoints, with each endpoint being evaluated independently.
(4) In evaluating evidence of mutagenicity, greater weight should be placed on tests conducted with germ cells than on tests conducted with somatic cells, on tests performed in vivo rather than in vitro, on tests In mammalian species rather than submammalian species, and on tests in eukaryotes rather than prokaryotes.
(5) Mixed test results may exist for a particular agent and endpoint. In those cases the preponderance of the evidence, weighted as described above, should determine the potential for in vivo mammalian germ cell mutagenicity rather than the number of positive results obtained.
(6) For positive results in particular assays there may be evidence to indicate that the positive result is not applicable to in vivo germ cell mutagenicity. Such evidence may include pharmacokinetic or metabolism data or considerations which are clearly not relevant to an intact mammal. In these cases it is not appropriate to consider the positive results in the weight ofevidence approach.
(7) Other information about the chemical under consideration, such as structureactivity relationships, can be used for the indication of possible mutagenic activity within certain well-studied chemical classes. However, at the present time there is no established scientific basis to reliably predict the mutagenic activity of a chemical from its structure alone and it should not be used as the sole criterion for classification purposes.
AP00055071
6 SOWINSKJ ET AL.
(8) Only results from valid tests, conducted according to established scientific pro cedures, should be used to categorize chemicals for hazard identification purposes.
EEC, U.S., and Canadian documents for classifying mutagenicity data were re viewed (1,2, 4). Similarities between the systems were identified and a single new system was developed for classifying substances according to relative strength ofevi dence for potential human germ cell mutagenicity.
Five categories indicating relative levels of concern have been developed for this new classification scheme. Substances are assigned to one of these categories based on the best match between the test results profile, the category criteria, and the re marks listed above under General Principles for Classification: Discussion. In assign ing a substance to a category, the quality of the test results and the appropriateness of the test must be carefully considered. A description of many of the mammalian germ cell mutagenicity assays currently in use and factors to be considered in their application and interpretation has been developed (23).
Teratogens
There is a need to develop criteria for classifying those chemicals that cause adverse effects on the reproductive process (l, 11). As a first step, this document offers guid ance for classifying chemicals on the basis of their ability to cause specific adverse effects on the developing conceptus. This limitation in scopeis appropriate since such effects are, at present, the only endpoints that can be reproducibly assessed. It is also consistent with some existing classification schemes (e.g., EEC) which do not address all potential effects on the reproductive process. At a later date other adverse effects on reproduction may be addressed.
A basic problem is one of definition. In this field, many of the terms in use have been--and are--applied loosely and this has led to misunderstanding. Given the emotive nature ofthe subject, it is crucial that the terminology used should be precise to ensure consistency in interpretation and evaluation of human or experimental animal data. A number of expert groups have defined terms in this area, but such definitions are often acknowledged to be valid only for the particular document in question (18).
In this case, the following two definitions have been agreed upon by many special ists in the fields of toxicology and occupational medicine and are not believed to conflict with those derived by other expert groups:
Reproductive toxicity: adverse effects of chemicals/agents that interfere with the ability of males or females to reproduce.
Developmental toxicity: adverse effects of chemicals/agents on the developing con ceptus associated with exposure during pregnancy. These effects may be manifested in the embryonic or fetal periods, or postnatally.
One specific manifestation of developmental toxicity is the production of structural malformations which are usually deleterious. Thus, a "teratogen1' may be defined in the strict sense as an agent causing irreversible, deleterious structural malformations in a conceptus as a consequence ofexposure of the mother during pregnancy.
Whether or not a specific malformation is deleterious is a matter ofjudgment in each particular case. This definition excludes agents causing other manifestations of
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CRITERIA FOR CARCINOGENS. MUTAGENS, AND TERATOGENS
7
developmental toxicity, i.e., death ofthe conceptus, growth retardation, or functional deficits. It is consistent with the approach outlined in the EEC Labelling Guide which refers specifically to teratogens (and requires the phrase "May cause birth defects") (1). Thus the other types of developmental toxicity remain unclassified for the pres ent since morphological change is "the only reproducible assessment currently avail able" (19).
Epidemiology
In establishing hazard identification procedures for carcinogenic, mutagenic, and teratogenic health hazards, categories have been established to classify substances according to how much evidence exists that a particular substance is a human carcin ogen, mutagen, or teratogen (1,2).
Criteria have also been developed to assist in deciding into which category a sub stance should be placed. Some of these criteria, however, are not sufficiently specific as to how they relate to humans. Criteria that are too general may allow so much room for differing interpretations that they can lead to widely differing conclusions. For example, if there are to be harmonized warnings on chemical labels, criteria for categories of evidence of hazards would have to be uniform, and if they ace to be uniform, they have to be sufficiently specific.
On the other hand, criteria should not be so rigid that they limit the exercise of individual judgment. There is a need to strike a balance between criteria that are too specific and those that are too general.
If a substance is to be classified as a proven carcinogenic, mutagenic, or teratogenic health hazard in humans, that classification must be based on unequivocal human evidence derived from epidemiological studies. Therefore, an assessment of these studies must be made to decide whether the substance should be categorized as a proven human carcinogen, mutagen, or teratogen, or placed into another category indicating less certainty.
In making this statement, there is a need for a set of criteria For inferring causality from epidemiological studies. Certain limitations of some epidemiological data can make it difficult at times to determine whether there isa cause-and-effect relationship between chronic diseases and exposure to a particular substance. Examples are as follows:
(a) An excess incidence of death rate among exposed persons may be due to con founding factors that are unknown or known but cannot be controlled,
(b) The sample size may not be large enough to provide the statistical power needed to detect excess risks.
(c) Information on level and duration ofexposure may be inadequate. (d) The study period may not allow enough time for a latent period to elapse.
In setting standards for suspected human carcinogens or in classifying substances according to evidence of carcinogenicity, regulatory agencies and expert scientific panels have had to deal with two major areas of controversy in the interpretation of epidemiological data. One is the interpretation ofobserved excess of cases where it is uncertain whether the excesses are chance occurrences or due to confounding factors. The other pertains to substances that have been found to be carcinogenic in certain
AP00055073
8 S0W1NSKI ET AL.
species of laboratory animals, but not carcinogenic in humans, as indicated by negative epidemiological studies. Differing interpretations of these data could be a major obstacle in developing harmonized hazard warnings (12).
The major question raised by both ofthese issues is, to what extent do the epidemioiogical studies indicate a causal relation between cancer and exposure to the substance in question? Therefore, if there is to be a resolution of these issues, a uniform set of criteria for inferring causality from epidemiological studies would have to be adopted by all agencies involved in hazard identification.
The principles outlined in this paper for inferring causality from epidemiological studies apply equally to studies of mutagenicity, teratogenicity, and carcinogenicity in humans.
CRITERIA FOR CLASSIFYING CHEMICALS AS CARCINOGENS
Category 1: Proven Human Carcinogenic Substances
Evidence for inclusion in this category is provided by formal epidemiological studies. For details we refer to the section on epidemiology.
Category 2: Suspected Human Carcinogenic Substances
There is sufficient evidence that human exposure to the substance may result in the development of cancer because of:
(1) suggestive epidemiological data not sufficient to satisfy the criteria for establishing causality, as described in the paper on epidemiology, and
(2) proven evidence from animal studies carried out under conditions which are relevant to human exposure as defined in Category 3 below.
A causal relationship suspected from limited data on humans may be better understood ifspecific evidence from animal studies is available, particularly ifcancers have been induced in animals by routes and levels of exposure which are relevant to the expected human exposure. Similarly, studies of genotoxicity and of metabolic processes can assist in this understanding. The evidence from animal studies, however, must be strong evidence as defined in Category 3 below.
Category 3: Proven Animal Carcinogenic Substances ofPotential Relevance to Humans
Ifthe evidence is not adequate to classify a substance in Categories i and 2} coQsideration should be given to Category 3 ifthe strength of the evidence is sufficient and was obtained under conditions relevant to the expected human exposure. In this case, it may be assumed that exposure to the substance is ofpotential relevance to humans.
The following findings increase the justification for a substance being classified as a proven animal carcinogen with relevance to man when obtained under exposure conditions which correspond to those in humans:
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(a) A clearstatistical and biologically significant increase in the incidence of malig nant tumors in an organ with a low spontaneous tumor incidence, e.g., less than 4% (6, 10). If a substance induces malignant tumors only in an organ ofhigh spontaneous tumor incidence, it would be considered for inclusion in this category ifthe incidence was well in excess of that in the control group including historical controls.
(b) The induction of a statistically significant excess of malignant tumors at more than one site.
(c) The existence of a clear dose-response relationship in the number or time to appearance ofthe malignant tumors.
(d) The induction of an excess of malignant tumors in more than one species or strain. (Iffound in more than one strain, and especially in more than one species, the tumors are regarded as more significant if they are of the same type.)
It is not necessary that all of the above requirements be fulfilled for a classification as proven animal carcinogen nor are they all equal in strength. Each case should be considered on its merits. However, at least one of the following conditions should be met (5):
There should be a clear statistical and biologically significant increase in the inci dence of malignant tumors
(i) in more than one species or strain, or (ii) in multiple experiments preferably with different routes of administration or at different dose levels, or (in) to an unusual degree with regard to incidence, site or type, or age at onset.
The data would not normally be regarded as sufficient for a proven animal carcino gen classification if
(i) only benign tumors are induced, or (ii) an excess only oftumors such as hepatic nodules in rats or mice, or only pulmo nary tumors in mice is induced, or (iii) an excess of malignant tumors is induced only in an organ which has a high spontaneous incidence, or (iv) an excess ofmalignant tumors is induced only by an irrelevant route ofadmin istration (see comments under Category 4 below), or (v) the dose level required to produce tumors in experimental animals is so high that it adversely affects the normal physiology ofthe experimental animals due to its bulk or physicochemical properties (see comment below Category 5a i], or (vi) no tumors are produced by exposure at or above those levels to which humans are likely to be exposed, even it tumors are found at exposures which produce chronic injury in the tissues or organ in which tumors later appear.
Supporting evidence. Information other than that from the long-term animal stud ies can influence the relevance to the human situation and aid a derision on categori zation.
(a) Metabolic data. Studies indicating similarity in types and rate of metabolite formation can support decisions to infer the significance of data from other species to humans.
AP00055075
10 SOWINSKJ ET AL.
(b) Short-term tests. Positive results from a battery of properly validated short term tests, while not adequate for classification when taken alone, may serve as sup porting evidence for animal data and increase the confidence for classifying a sub stance as a proven animal carcinogen. Failure to find such supporting evidence could lead to a lowered classification.
(c) Structure-activity relationship. Structure-activity relationships (SARs) are not at present reliable enough to play a role in decisions which have implications for human health and they cannot be used to support the classification of a substance as a carcinogen, except in a few cases where particularly strong SARs have been estab lished for a series ofchemicals which are very closely related in structure.
Caiegory 4: SuspectedA nimal Chemical Carcinogenic Substances ofPotential Relevance to Humans
In this case there is limited evidence from animal studies carried out under condi tions which are possibly relevant to humans, and there is no other strong supporting evidence. Some experimental results which might lead to this categorization include:
(a) A small increase in the incidence of malignant tumors of significance, e.g., where background data suggest that this incidence could have occurred by chance, particularly if this is only toward the end ofthe animal's natural life span.
(b) An increased incidence of malignant tumors in only one species or strain, which does not meet the biological and statistical criteria necessary to be classified as a proven animal carcinogen as described in Category 3.
(c) An increased incidence ofmalignant tumors only in organs for which the natu ral incidence is high or variable.
(d) Malignant systemic tumors are induced only by routes of exposure which are not relevant to human exposure (see comment below).
(e) Other information suggests that limited animal data are not relevant to hu mans, for example, when extensive and valid epidemiological studies have given no evidence ofa carcinogenic effect.
(f) A treatment-related increase is observed only of nonmalignant tumors which are well known to progress to malignancy.
It should be noted that results from some routes ofadministration, e.g., subcutane ous, intravenous, intramuscular, and intraperitoneal treatment, are typically not reli able indicators ofcarcinogenicity. A very careful interpretation ofresults obtained by such exposure routes is necessary. The subcutaneous route particularly gives falsepositive findings and much caution should be exercised in interpreting the data espe cially when only local tumor formation is induced. A careful interpretation ofresults obtained by intragastric intubation (gavage) is also necessary.
Category 5: Substances Nonclassifiable with Regard to Carcinogenicity
This category includes substances for which some experimental evidence exists, but the evidence is limited in strength and/or is irrelevant to the human situation. Some examples of such inadequate evidence are:
CRITERIA FOR CARCINOGENS. MUTAGENS. AND TERATOGENS
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TABLE1 Comparison of Classification Schemes for Carcinogens
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(a) The only positive evidence of carcinogenicity is from animal studies
(i) at excessively high doses which result in altered physiological conditions such as tissue damage (necrosis, chronic irritation) or a change in metabolic pathway, e.g., through overloading, to which the positive result is attributable (this phenomenon is illustrated by the case ofcarcinoma ofthe bladder epithelium induced by the presence ofcalculi); some groups have suggested dosages above which no practical significance should be attached (8);
(ii) under exposure conditions which do not occur when the substance is han dled or used by humans, e.g., "`solid state" sarcomas from plastic implantation; or
(iii) under exposure conditions in which the substance was used in a physical form to which humans are not exposed.
(b) The experimental evidence is equivocal, whereas there is valid negative evi dence from epidemiological studies.
(c) The only positive evidence is from experimental studies which were improperly designed, improperly conducted, or could not be reproduced.
(d) Metabolic data indicate that the metabolic products or rates of formation of those products arc grossly different in the experimental animal from those ofhumans.
(e) Failure to obtain, supportive short-term results in cases where the animal data are not consistent with classification in Category 3.
Category 6: Negative Evidence
"This category is used for agent(s) that show no evidence for carcinogenicity in sts, at least two adequate (and appropriate) animal tests in different species or in both on. epidemiologic and animal studies" (2). A more extensive discussion ofthis subject is
provided in the epidemiology section.
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12 Caiegory 7: No Daw.
SOWINSKJ ET AL.
In this case no relevant data are available.
Table I is a summary of the comparison of the proposed classification system for carcinogens presented here and those of EEC, EPA, and IARC. It is appropriate to note that a material could be classified as having negative evidence ofcarcinogenicity when animal studies: have been carried out under conditions which are relevant to human exposure and have positive evidence under inappropriate or exaggerated ex perimental conditions. The appropriate negative experimental and epidemiological evidence clearly supercedes the data collected from inappropriate studies.
The methodology for classification of carcinogens is not to be applied routinely in all situations, but is to be used asa guideline for classification, after which appropriate labels and warning statements may be developed.
CRITERIA FOR CLASSIFYING CHEMICALS AS MUTAGENS
Category 1: Evidencefor Substances with Human Germ Cell Mutagenicity
There is sufficient evidence to establish a causal connection between human expo sure to chemicals and heritable genetic effects.2 This evidence can be developed onLy by appropriate epidemiology studies. For details refer to the "Criteria for Inferring Causality from Epidemiological Studies."
Category 2: Evidencefor Substances with Mammalian Germ Cell Mutagenicity
There is evidence for mutagenicity and chemical interaction with the genetic mate rial in mammalian germ cells in vivo by
(1) valid positive results from an in vivo mammalian germ cell study that measures mutations transmitted to offspring, or
(2) evidence that the chemical interacts3 with the genetic material of mammalian germ cells in vivo plus clearly positive results in at least one valid in vivo study assess ing either gene mutation or chromosome aberrations in somatic cells of humans or other mammals.
Category 3: Evidencefor Substances with Somatic Cell Mutation in Mammals without Evidencefor Germ Cell Interaction
Evidence of mutagenic activity is provided when a substance gives clearly positive results in at least one valid in vivo mutagenicity study assessing either gene mutation or chromosome aberrations in somatic cells ofhumans or other mammals.
* At this time, no causal relationships have been described. 5 Artifacts such as incorporation of radiolabel through normal metabolites or tritium exchange should be excluded.
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13
TABLE 2
COMPARISON OF CLASSIFICATION SCHEMES FOR MUTAGENS
This document
EEC
EPA
1. Evidence for substances with human germ cell mutagenicity 2. Evidence for substances with mammalian germ cell
mutagenicity 3. Evidence for substances with somatic cel! mutation in
mammals without evidence for germ ceil interaction 4. Inadequate evidence for classifying mutagenicity 5. Negative evidence
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Nate. A direct comparison ofcategories is not always possible. This comparison is proposed as a reason able approximation.
This category is to be used if no evidence is available to permit one to determine whether interaction occurs with the genetic material of the mammalian germ cell in vivo.
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Category 4: Substances with Inadequate Evidencefor Classifying Mutagenicity
This category is for chemicals for which there are insufficient data available to meet the criteria described above, for example:
(1) positive test results only for endpoints without established clinical relevance and for which human genetic health hazards are not defined, such as DNA damage. sister chromatid exchange, and DNA binding in somatic cells, or
(2) positive findings of gene mutations or chromosome aberrations from in vitro studies only.
asures nalian assessans or
jsittve tation
should
Category 5: Negative Evidence
In a weight of evidence approach to classifying chemicals it is important to distin guish between chemicals for which no evidence exists and those for which appropriate negative evidence is available. This category is therefore necessary to indicate that there is evidence that a chemical gives negative results in appropriate tests to measure gene mutation and chromosome aberration or that there is appropriate evidence to indicate that a chemical does not interact with the genetic material of mammalian germ cells in vivo.
These categories for mutagenicity show concordance with the EEC classification scheme and also share elements with the EPA categories ofsufficient, suggestive, and limited evidence for mutagens (1,2); see Table 2.
CRITERIA FOR CLASSIFYING CHEMICALS AS TERATOGENS
Three categories ofsubstances are proposed in this document. This categorization, with respect to Categories 1 and 2, is consistent with that contained in the EEC Label ling Guide (1).
AP00055079
14 SOW1NSKJ ET AL.
Category l: Substances Known to be Teratogenic to Man
For Category 1, the accompanying descriptive phrase in the EEC Guide is:
"there is sufficient evidence to establish a causal association between human exposure to a sub stance and subsequent non-heritable birth defects in the offspring.'*
We believe that to be consistent with the word "teratogenic", the above use of "birth defects" must relate to deleterious, structural malformations in a conceptus (see defi nition of teratogen).
It is proposed that before a chemical is classified as a Category l teratogen, at least the following criterion should be met: That a clear, unequivocal relationship between human exposure to a chemical during gestation and increased incidence of a specific structural malformation(s) has been established. Evidence for inclusion in this cate gory is provided by formal epidemiological studies. (For details we refer to the section on epidemiology.) The background level of teratogenic manifestations, the difficulty in classification of specific malformations, and multiple confounding factors and sources of bias need to be rigorously addressed in the design of epidemiological stud ies ofreproductive and developmental hazards.
It should be recognized that the influence of these factors will not be adequately controlled in many studies. Such studies will provide suggestive evidence only, inap propriate for classification in Category I.
Category 2: Substances Which Should Be Regarded as ifThey Are Teratogenic to Man
For Category 2, the descriptive phrase in the EEC Guide is:
"There is sufficient evidence to provide a strong presumption that human exposure to the sub stance may result in non-heritable birth defects in the offspring, generally on the basis of:
--appropriate animal studies --other relevant information."
The comments on the interpretation of "birth defects" discussed under Category 1 teratogens also apply to the descriptive phrase for Category 2.
It is proposed in this document that "appropriate animal (i.e., mammalian) stud ies" should meet at least the following criteria:
(a) There should be a relevant route of exposure, i.e., for industrial chemicals, dermal, inhalation, or oral.
(b) There is exposure during pregnancy/organogenesis only. (c) Structural malformations should be considered indicative of a teratogenic event only if they occur at exposure levels that do not cause overt maternal toxicity (e.g., a reduction in maternal body weight). (d) The increase in incidence of structural malformations in comparison to that of controls must be statistically significant, and the malformations themselves must be of biological significance. (e) Good historical background data should exist on the usefulness of the species tested and data should be for the same strain and from the same laboratory. The rat and rabbit are the preferred species.
(f and
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AP00055080
CRITERIA FOR CARCINOGENS. MUTAGENS. AND TERATOGENS
15
(f) Adequate group sizes should be used, for example, 20 litters/group for rodents and 12 Utters/group for lagomorphs should be available for analysis.
(g) Dose or treatment response should be demonstrable for defects that are not
rare occurrences. (h) Fetal assessment and data evaluation should be carried out using accepted sta
tistical and laboratory methods.
In the evaluation of animal studies against the above criteria, particular consider ation should be given to maternal toxicity as a confounding factor. Positive terato genic findings seen only in the presence of maternal toxicity do not necessarily indi cate specific hazard to the conceptus. By contrast, positive findings in the absence of maternal toxicity imply differential susceptibility between mother and conceptus. In any study, calculation of the ratio of a dose that is minimally toxic to the mother (A) to a dose that is minimally toxic to the conceptus (D) {A/D ratio) can be useful in assessing the extent of differential susceptibility.
The occurrence of teratogenic effects in studies meeting the above criteria in one mammalian species may be regarded as sufficient for a Category 2 classification of the substance concerned, unless there are clear reasons to doubt the relevance to
humans. Ifthe above criteria are not met, then insufficient evidence exists to categorize the
substance with respect to teratogenicity. It is recognized that certain chemicals may cause adverse effects on development
only at very high dose levels, whether in the presence or absence ofmaternal toxicity. In such a case careful interpretation is necessary to determine whether or not a hazard exists. When conducting a study or evaluating results ofa study, an upper dose limit, e.g., 1000 mg/kg/day, should be considered as a dose which normally is oflittle practi cal relevance,
With regard to "other relevant information, "in the present state ofscience in devel opmental toxicology, the relevance of structure-activity relationships, behavioral data, and in vivo and in vitro screening procedures is not sufficiently well understood to justify use ofsuch data for classification purposes.
Category 3: Substances Which Cannot Be Classified Based on A vailable Data
If available data do not meet the criteria described above for Categories 1 and 2, these substances should be considered nonclassifiable, i.e., there is inadequate evi dence to assign a chemical substance to either Category 1 or 2.
CRITERIA FOR INFERRING CAUSALITY FROM EPIDEMIOLOGICAL STUDIES
A. Quality ofIndividual Epidemiology Studies
Before the criteria to infer causality are applied to a body of epidemiological stud ies, it is important that the quality of each study be evaluated as a guide to determine how much weight should be given to the study in the total assessment of the data. The criteria to evaluate individual studies are as follows:
AP00055081
16 SOWINSK.I ET AL.
(a) Design ofthe study. Analytic studies, such as case-control and cohort studies, provide tests of causal hypotheses. Proportionate mortality, cross-sectional, and de scriptive studies are used to generate hypotheses. Therefore, only analytic studies are appropriate for inferring causality from epidemiologic evidence.
(b) Definition ofthe cohort. All exposed persons in the population being investi gated should be identified. Criteria for inclusion or exclusion should be precisely de fined. Justifiable exclusion would include short duration of exposure, such as less than 6 months, in the case ofa carcinogenicity study.
(c) Quantification of exposure. Precise measures of intensity of exposure are difficult to obtain in retrospective studies, but qualitative estimates of exposure, such as "high," "medium," and "low," may be acceptable, provided they are uniformly applied and are consistent throughout the study period.
(d) Mortality or morbidity ascertainment. An evaluation should be made of the percentage of persons in the study population whose vital status and/or morbidity experience has been determined. The methodology of validating the diagnoses or causes of death should be assessed.
(e) Identification of confounding factors. The study should consider all possible alternative causes ofthe outcomes, or related factors, such as age, sex, race, and per sonal habits.
(0 Statisticalpower. Power is determined by the size of the study population and the incidence ofthe disease under investigation. The statistical power determines the extent of the confidence limits, and thereby provides a measure of the upper bound ary ofrisk. A study with low statistical power could be acceptable, since it can contrib ute to the total body of evidence.
(g) Statistical analysis. The analysis should determine the probability that ob served differences could have occurred by chance. Analyses should also be done to measure the strength of the association, establish confidence limits, assess the influ ence of confounding factors, analyze latency, and so forth.
B. Consideration ofthe Totality ofthe Epidemiological Evidence
It is important that all studies meeting the criteria described above should be taken into account, including both negative and positive studies.
Negative studies. Multiple high-quality negative studies cannot prove absence of risk, but the risk may be, at worst, so small that it can, for practical purposes, be disregarded. On the other hand, several studies that appear to be negative because the differences are not statistically significant may indicate the existence of a risk when the data are pooled.
Case reports and clusters. Strongly suggestive anecdotal or clinical observations may indicate a possible causal relation. Although such evidence may appear to dem onstrate a risk, these observations should be followed by formal epidemiological stud ies to verify and quantify the risks, and to determine the role ofconfounding factors.
C. Criteriafor Inferring Causality
Several sets ofcriteria have been developed. The following criteria are stated in the Preamble to the IARCMonograph Programme on the'Evaluation ofthe Carcinogenic Risk ofChemicals to Humans.
(a
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AP00055082
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CRITERIA FOR CARCINOGENS. MUTAGENS. AND TERATOGENS
17
(a) There is no identifiable positive bias. (b) There is no positive confounding. (c) The association is unlikely to be due to chance alone. (d) The association is strong. (e) There is a dose-response relationship. (f) There is consistency in several independent studies.
The EPA has adopted the IARC criteria shown above (l). ECETOC has not proposed any criteria to classify epidemiological evidence ofcar cinogenicity, but states:
In most cases, excess cancer incidences can confidently bcattnbuted to a selected chemical ifthis excess is consistent, specific, and dearly relates to particular exposure conditions. (10)
The National Toxicology Program (NTP) 3rd Annual Report on Carcinogens (1983) and EEC have also established categories to classify evidence ofcarcinogenic ity, but have not proposed any criteria to assist in selecting the appropriate category. NTP's categories, however, are closely related to those established by IARC.
The lARC and EPA criteria have two shortcomings: (l) They do not include such important criteria as specificity, temporal relationship, coherence, and biological plausibility; and (2) they are merely stated, without elaboration and without any dis cussion as to how they should be used. Therefore, they are not sufficiently specific to ensure uniformity in their application.
The most comprehensive criteria that have been developed are those by A. Brad ford Hill (20). We recommend that these criteria be adopted.4 They are as follows:
(1) The Strength ofassociation. This is usually expressed as some type of risk ratio, such as the death rate of a disease in an exposed population relative to the rate in a nonexposed population. The higher the risk ratio, the less likely it is that the associa tion resulted from some confounding factor, and thus the more likely it is that the association is causal.
(2) Consistency. A causal hypothesis is supported when positive results are seen repeatedly in several studies done independently by different investigators using different populations. If only one or two studies have been conducted, causation can nevertheless be inferred ifthe risk ratios are very high.
(i) Specificity. This criterion refers to an "association limited to specific workers and to particular sites and types of disease and there is no association between the work and other modes of dying" (20). The relation between vinyl chloride monomer and angiosarcoma of the liver is one example. However, causality can occur in the absence of specificity.
{4) Relationship in time. This criterion requires that the exposure precede the de velopment ofthe disease by a biologically relevant time period. A temporal relation ship may be uncertain in a cross-sectional epidemiological study, but can be demon strated in a properly conducted cohort study.
(5) Coherence ofthe evidence. This criterion is satisfied when the associations found in epidemiological studies do not conflict with what is known of the natural history and biology ofthe disease.
* Criteria 1 through 5 were adopted by the Advisory Committee to the Surgeon General ofthe US Public Health Service in preparing their report on smoking and health in 1964 (21). The criteria were also used in the Surgeon General's 1982 report on smoking and cancer (22).
AP00055083
s :< o
18 SOWINSfCI ET AL.
(6) The biological gradient. To satisfy this criterion, the data should show a doseresponse relationship; that is, the disease rate should be found to increase as the level and duration ofexposure increase.
(7) Biological plausibility. A causal hypothesis is strengthened when there are known biological mechanisms that explain the association between the substance and the disease.
(5) Experimental verification. This criterion would be satisfied if removal of the substance or reduction in the level of exposure was eventually followed by a decline in the incidence of the disease.
APPENDIX l
Participants in the Tripartite Working Party on Chronic Hazard Identification
Cochairmen
Dr. B. Broecker: Hoechst AG; CEFIC/ECETOC Dr. E. J. Sowinskj; Uniroyal, Inc.; CMA/IAG
Carcinogenic Properties
Dr. J. M. Faccini: Consultant; ECETOC Mr. J. T. Barr; Air Products; AlHC Mr. S. Beeichuizen: Bayer AG;CEFIC Mr. C. S. Weil: Consultant; AIHC
Mutagenic Properties
Dr. P. Gelbke: BASF; ECETOC Dr. H. Fleig: BASF; ECETOC Dr. D. W. Matheson: Stauffer Chemical; AIHC Mr. G. C. Granville: Shell Canada; CCPA Dr. W. Rozenboom: Shell Internationale Petroleum; CEFIC
Teratogenic Properties
Dr. D. M. Ferguson; ICI Americas; AIHC Dr. I. F. Carney: ICI pic; CEFIC
Epidemiology
Dr. S. Pell: du Pont; AIHC Dr. A. Munn: Monsanto Europe; CEFIC Dr. J. C. Aubrun: Rhone-Poulenc; CEFIC Dr. M.J. Reape: FMC, Inc.; AIHC
2. [
1 4(
5. I
t. t
71 8> ,
F
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11. i ,,
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1 * 1 (5 ,
it 18.
AP00055084
. dose\e level :re are ceand of the lecline
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Staff
CRITERIA FOR CARCINOGENS, MUTAGENS. AND TERATOGENS
19
Dr. H. Haeseler: CEFIC Mr. G. W. Ingle: CMA Mr. C. F. Emde: CMA
CHFIC European Council ofChemical Manufacturers Federations
CMA
Chemical Manufacturers Association (USA)
ECETOC European Chemical Industry, Ecology and Toxicology Center
AIHC American Industrial Health Council
CCPA Canadian Chemical Producers Association
SOCMA Synthetic Organic Chemical Manufacturers Association
IAG
International Affairs Group of CMA/SOCMA
REFERENCES
1. "Classification and Labelling of Dangerous Substances" (Directive 83.467/EEC). Off J. Eur. Econ. Communities (EC);bio. L 257/24; 16 September, 1983.
2. Environmental Protection Agency (EPA) (1984). Proposed guidelines for carcinogenic, mutagenic and reproductive risk. Fed. Regist. 49(227), 23 November.
3. U. S. Department of Labor: Occupational Safety and Health Administration (OSHA) (1983). Hazard communication; final rule. Fed. Regist. 48(228), 25 November.
4. OSH Branch Labor Canada (April 1985). Workplace Hazardous Materials Information System (WfiMIS): Report to the Project Steering Committee. Ottawa, Canada.
5. International Agency for Research on Cancer (IARC) (1984). Monogr. 33, April 1984, and Annual Report 1984.
6. National Toxicology Program (NTP) (September 1983). 3rd Annual Report on Carcinogens. U.S. De partment of Health & Human Services.
7. U.S. Department of Health & Human Services (1984). Report ofthe NTPAd Hoc Panel on Chemical Carcinogenesis Testing and Evaluation, 17 August.
8. American Conference ofGovernmental Industrial Hygienists (ACGIH) (1984). Threshold Limit Val ues (TLV)for ChemicalSubstances and PhysicalAgents in the Work Environment. ACGIH, Cincin nati, Ohio.
9. ECETOC (September 1980). A Contribution to the Strategyfor Identification and Control ofOccupa tional Carcinogens. Monograph No. 2. Brussels.
[0. ECETOC (January 1983). Risk Assessment of Occupational Chemical Carcinogens Monograph No. 3. Brussels.
11. ECETOC (December 1983). Identification andAssessment iffthe Effects ofChemicals on Reproduction andDevelopment, Monograph No. 5. Brussels.
12. American National Standard for Hazardous Industrial Chemicals (1985). Precautionary Labeling. ANSIZ 129.1-1982,21 September. New York.
13. Office of Science and Technology Policy (19851. Chemical carcinogens: A review of the science and its associated principles, fed. Regist. SO, 14 March.
14. Weisburger, J. H,, and Williams, G. M. (1984). Bioassy ofcarcinogens: In-vitro and in-vivo tests. In Chemical Carcinogens (C. E. Searle, ed.), Amer. Chem. Soc. Monogr. 182(2).
15. Evans, H. J.(1984). Structure and organization of the human genome. In Mutations in Man{G. Obe, ed.), pp. 58-100. Springer-Verlag, New York.
16. United Nations Scientific Committee to Evaluate Energy and Radiation, Sources and Affects of Ioniz ing Radiation (UNSCEAR.) (1977). United Nations, New York.
17. National Research Council; National Academy Press (1983). Identifying and Estimating the Genetic Impact ofChemical Mutagens. NRC/NAP, Washington. D.C-
18. World Health Organization {1984). Principles for evaluating health risks to progeny associated with exposure to chemicals during pregnancy. Environmental Health Criteria No. 30. WHO, Geneva.
AP00055085
20 SOWJNSKJ ET AL.
Appendix II
Comparison ofApproachesfor Classifying Chemicals as Carcinogens, Muiagens, or Teratogens with EEC, EPA, OSHA. and WHMJS
EEC
EPA
OSHA
WHMIS
Carcinogens
Category J: Known to be carcinogenic to man
Category 2. Regarded as carcinogenic to man based on animal studies
Category 3; Cause
concern owing to possible carcinogenic effects
Group A: Human carcinogen
Group B: Probable human carcinogen
Group C: Possible humrt carcinogen
No categorization: any chemical in A or B is covered
(A) Listed in NTP Annual Report, in [ARC monographs l or
2, or regulated by OSHA (B) Based on hazard evaluation of other relevant data
Category i: Known to
be mutagenic to man Category' 2: Regarded
as mutagenic to man Category 3: Cause
concern owing to possible mutagenic effects
Mutagens
Sufficient evidence
Suggestive evidence Limited evidence
No categorization:
Based on hazard evaluation of all relevant data
Teratogens
Category l: Known to be Teratogenic to man
Category 2: Regarded as teratogenic to man
No specific categorization
No categorization: Based on hazard evaluation of all relevant data
No categorization: Human or animal listed under ACGIH; Ala, Alb. A2; also [ARC Groups 1, 2A, 2B are covered
Not addressed at this time
No categorization; positive in OECD 414.415.416 are covered
19. Commission of the European Communities (DG XI) (1985). Report of 2nd Meeting ofSpecialized Experts in the Field ofCarcinogenicfMutagenic/Teratogenic Substances, 18/19 April. Brussels.
20. Hn-L, A. B. (1971). Principles ofMedical Statistics, 9th ed, pp. 309-320. Oxford Univ. Press, New York.
21. Advisory Committee to the Surgeon Genera] ofthe Public Health Service (1964). SmoktngandHealth, pp. 182-189. U.S. Public Health Service.
22. Report of the Surgeon General (1982). The Health Consequences ofSmoking--Cancer, pp. 16-20. U.S. Public Health Service.
23. International Commission for Protection against Environmental Mutagens and Carcinogens: Com mittee 1 (1983). Final Report: Screening strategy for chemicals that are potential germ-cell muta gens in mammals. Mutat. Res. 114(2), IJ7-177.
AP00055086
FUNDAMENTAL AND APPLIED TOXICOLOGY 7, 354-357 (1986)
LETTERS TO THE EDITOR
To the Editor
Haseman (1986) invokes several well-trav eled arguments in defense of long-term ro dent carcinogenicity testing in general and the use of maximum tolerated doses (MTDs) in particular which, despite frequent usage in regulatory circles, cannot withstand serious scientific scrutiny.
First, the fact that most human carcino gens have been found to be carcinogens in ro dents is not proof that the reverse is true. We all were taught in Philosophy 101 that while all blackbirds are black birds, not all black birds are blackbirds. There may be a strong suggestion that many of them are, particu larly if one operates in an area heavily in fested with blackbirds, as the NTP does, but that is not scientific proof, nor can it be, by the basic rules of science.
Further, there is very poor agreement among the various sexes, strains, and species as to whether a given substance actually is a rodent carcinogen, even at the MTD (Hase man ei al, 1984). Of the 48 NTP bioassays deemed positive by the authors that are dis cussed in that paper, 5 had only equivocal ev idence in one or two sexes ofone species (usu ally the mouse), 13 had stronger evidence, but still only in one sex ofone species, 14 had positive evidence of carcinogenicity in both sexes, but only one species, and 3 others had disagreement by one sex of one species with the 3 others. Thus, only 12 of42 clearly posi tive studies, 28.5%, had agreement between both sexes in both species, even with inclu sion of benign tumors. Twenty-seven of 42 studies, 64%, had disagreement between the mouse and the rat as to rodent carcinogenic
ity. There was, therefore, also 64% disagree
ment as to the prediction of human carcino genicity. This two out of three error rate is more than would be expected from tossing a
fair coin. Our efforts should be directed at de termining which, if either, is the correct pre dictor, and not at perpetuating specific test
methods. Second, the existence of a threshold is re
jected on the basis of population variability. This ignores any information on the mecha nism of carcinogenesis, and is a philosophic argument again. Complete safety, zero risk, or absence of probability of harm cannot be shown by statistical methods, which do not contemplate zero, but only an asymtotic ap proach to it. Biological methods are required to understand life processes, and statistics should be used as a servant, not a master. There are numerous instances now recog nized where nongenetic processes forecast no-effect levels. Space does not permit a longer review of that point here, (see, e.g., Weisburger and Williams, 1985) but the OSTP Policy (1986) in a section not cited by Haseman, says, in part, in Principle 26: "No single mathematical procedure is recognized
as the most appropriate for low-dose extrapo lation in carcinogenesis. When relevant bio logical evidence on mechanism of action . . . exists, the models or procedure employed should be consistent with the evidence. " The remainder of Sec. V, Principles of Risk As sessment, emphasizes the need for a weightof-the-evidence approach, with facts, as sumptions, and policy decision being identi fied clearly and their effects being analyzed.
In any event, low dose linearity, which is a prerequisite for the absence of a threshold.
0272-0590/86 $3.00 Copyright O 1966 by the Society ofToxicology.
AU rtghu ofreproduction in any form reserved.
AP00055087
LETTERS TO THE EDITOR
355
can be expected only on those relatively rare occasions where the test substance induces the same lesion in the same cells of an organ which exhibits an "appreciable" (more than 10%) incidence of spontaneous tumors (Peto et ai, 1985). These authors state that "This means that if this background is appreciable then a low dose-range should exist in which simple proportionality between dose and effect is actually observable, but that if this background incidence is negligible then no general prediction follows ofthe shape of the dose-response relationship."
We will continue to see opinions, hypothe ses, and inference options (NRC, 1983) used in scientific publications and risk assess ments, as they must be. They should be iden tified as such, however, and their effects un derstood. Further, their value as a scientific hypotheses should be judged.
The necessity for the testability of, and the testing of hypotheses cannot be denied by a scientist. Denial of the very existence of a hypotheses, whether it be the possibility of the existence of a threshold, or the question of the utility of a rodent as a surrogate for hu mans, is therefore not a scientific posture.
Weisburger, 1. H., and Williams. G. M. 11985). Con troversies in carcinogenesis: Health risk analyses for carcinogens. In Safety Evaluation and Regulation of Chemicals (F. Homberger, ed.), Vol. 2. pp. 150-165. Karger, Basel.
John T. B arr
3926 Lilac Road Allentown. Pennsylvania 18103
REFERENCES
HASEMAN, J. K. (1986). Letter to the Editor. Fundam. Appl. Toxicol. 6, 186-188.
Haseman, J. k., Crawford, D. d,, Huff, J. E., Boor man, G. A., and McConnell, E. E. (1984). Results
from 86 two-year carcinogenicity studies conducted by the National Toxicology Program. / Toxicol. Environ.
Health 14,621-639.
National Research Council Commission Life Sciences
(1983). Risk Assessment in the Federal Government:
Managing ihe Process. National Academy Press,
Washington, D.C.
Office ofScience and Technology Policy (1985). Chemi
cal Carcinogenesis: A review ofthescience and its asso
ciated principles,
Reg. March 14,10371-10442.
Peto, fL, Gray, R.. Brantom, P., and Grasso, P.
(1982). Effects on Two Tonnes of Inbred Rats of Chronic Ingestion of Diethyl- or Dimethyl-Witrosa-
mine; An Unusually Detailed Dose-Response Study. April, pp. 39-40, British Industrial Biological Re search Association, Surrey SMS 4t>s.
AP00055088
REGULATORY TOXICOLOGY AND PHARMACOLOGY 5, 432-459 (1985)
The Calculation and Use of Carcinogenic Potency: A Review
John T. Barr Air Products and Chemicals. Inc.. Box 538. Allentown, Pennsylvania 18105
Received June 19. 1985
Six methods ofestimating carcinogenicpotency now in use to someextent by regulatory agencies are examined, [t is concluded that none of these methods is adequate for regulatory decision making when used alone, as is usually the case, but that all are useful as a contribution to the whole risk assessment process. The needs for further development and improvement of these methods, where appropriate to human risk, are identified and discussed in view of the growing use of potency estimates in regulatory decision making. i9ss Academic Prest ine.
INTRODUCTION
The need for a satisfactory method of estimating the carcinogenic potency of sub stances has increased with the growing use of risk assessment in reaching regulatory decisions. In most risk estimates, risk is taken as the product ofexposure and potency, or, as it is expressed in some instances, dose and hazard (Office of Science and Tech nology Policy (OSTP), 1985). Pressure to regulate, or at least to evaluate for regulation, substantial lists of materials within fixed schedules increases the need for quick and simple estimates for both potency and exposure factors. This paper describes some of the methods suggested for deriving potency factors, discusses their applications, and evaluates their usefulness.
METHODOLOGY
Several methods have been used or proposed for use. Six of these are discussed, with examples of their use or potential use.
1. Epidemiology
The preferred data on which to estimate risks for humans come from human ex perience (OSTP, 1985). Epidemiology, therefore, would be the best method for setting
potency if it were possible to use it in that way. Two well-known efforts to do so have failed because of lack of adequate past exposure data and other problems. Kuzmack
0273*2300/85 J3.00
Copyriiht 19SS by AcufcmK Prat, Inc All riflu* of reproduction m any Soim reserved
432
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CARCINOGENIC POTENCY
433
and McGaughy (1975) prepared for the EPA an estimate of cancer deaths in the general population from exposure to ambient vinyl chloride near vinyl chloride/poly' vinyl chloride (PVC) plants. Their potency value was derived in part from occupational death rates, and their projected ambient exposures were estimated from air modeling studies. Unfortunately, only those occupational sites where deaths from this cause had occurred were used while ignoring all other data, and the releases to the ambient were overestimated significantly. Their estimate of 20 deaths per year, later reduced to 11 (Anderson, 1983), has not been confirmed (Popper et al, 1978). No deaths due to ambient vinyl chloride exposure have been found in the more than 40-year industrial history. That fact alone reduces the value of the potency figure as estimated by the EPA by more than three orders of magnitude, but does not allow setting a more specific figure with any accuracy (Barr, 1982).
Similarly, Occupational Safety and Health Administration (OSHA) has attempted to use estimates of benzene potency derived by Infante and co-workers (White et al. 1982) from occupational epidemiology in its regulatory process for benzene. Here, too, debates over actual historical exposure data and selection of the proper cohort have questioned the value ofthat estimate as a measure of human hazard (International Agency for Research on Cancer (1ARC), 1982).
Epidemiology can, as many have pointed out (Monson, 1980; Doll, 1984), set an upper limit on the value of potency. The accuracy, and therefore the value of that upper limit, depends on the accuracy with which the past exposures can be recon structed and the statistical power of the study. Regulatory agencies have reported epidemiology-based estimates on occasion (EPA, 1979), but usually subordinate them to values estimated for bioassays, as was done in the case of vinyl chloride (Kuzmack and McGaughy, 1975). In no case can epidemiology, or any other statistical exercise, demonstrate an absence of carcinogenicity (Doll, 1984), and thus epidemiology is unlikely to have a major impact on risk assessments for the low exposures to the weak carcinogens now experienced in the environment.
Epidemiology does permit the estimation ofupper limits of potency, as mentioned above, and thus can serve as a broad screening tool. With proper attention to detail this step could assist in placing some risks in proper perspective, for as Doll (1984) pointed out "a time comes in the collection of human data when the existence of any material risk can be postulated only with such heavy exposure that the normal exposures to which man is exposed can be regarded as essentially safe."
Epidemiology studies also can be used to evaluate the accuracy of predictions made from animal studies and to compare the relative potencies of suspect carcinogens.
For example, the potency of vinyl chloride at high occupational exposures can be calculated by using the data for angiosarcoma in the 25,000 or so workers exposed to vinyl chloride in the PVC industry in the United States. At least 10% of these were very heavily exposed as reactor cleaners to an average of at least 1000 ppm. The average time from first exposure to diagnosis has been 25 years for the 35 cases that have been seen so far in this country. Certainly no more, and probably fewer, than another 50 or so cases can be expected from past high exposures. Thus
85 1000X25 2SOO = P 70 PPm
and
P = 9.5 X 10"3 ppm"1.
AP00055090
434 JOHN' T BARR
Similarly, the data provided by Olsen et al. 0 984) can be used to calculate a max imum potency for formaldehyde. They report one of the few epidemiological studies which finds a measurable, although not statistically significant, elevation of 1.66 for the rate ofnasal cancer in occupationally exposed persons. OSHA (1984) suggests that the most common occupational exposure has been around 1 ppm. National Cancer Institute (Riggan et al.. 1983) data show that nasal cancer in this country, although falling sharply over the last three decades, averaged about 575 cases per year in 19701979. This would predict a potency of (1.6 X 575 X 70)/230 X 106, or P - 2.8 X 10"4 ppm'1.
These two rough estimates round ofF to 10"4 and show that vinyl chloride and formaldehyde might be expected to have about the same potency as human carcinogens ifboth were, in fact, carcinogenic at ambient exposures. Vinyl chloride does not appear to be, because of the negative epidemiological data for vinyl chloride (Popper et al.. 1978). This fact sets an upper limit of potency of about 10"7 ppm'1 at ambient ex posures of a fraction of a part per million, as compared to the 10-4 value calculated at occupational exposures of over 1000 ppm, and at least suggests that the dose response is not linear at low levels. By contrast, several hundred cases over the last few decades were predicted in the general population by linear extrapolation of animal data (Kuzmack and McGaughy, 1975; Anderson, 1983).
Similarly, the risk estimates prepared by the regulatory agencies from formaldehyde data on animals would suggest human nasal cancer rates many times that actually found in areas with significant occupational exposure (EPA, I984e; OSHA 1984). Here, too, repeated failure to confirm these estimates by epidemiology suggests that the animal-based estimates must be an exaggeration of the human situation (Hoel et al, 1983).
At the other extreme, very potent substances such as bischloromethyl ether provide abundant confirmation of their carcinogenic power in epidemiological results (Weiss, 1982).
Continued difficulty in obtaining epidemiological support for dubious animal results can be useful and reassuring information for those responsible for risk management. It can be expected that more such analyses of human data can be useful in evaluating the confidence to be placed in risk assessments based on nonhuman data and to help establish regulatory priorities (OSTP, 1985). The Science Advisory Board (1985a) has encouraged the EPA to make these analyses as a part of its analysis of uncertainty in the risk analysis program.
Salsburg (1983) and Doll (1984) remind us that only about half of the agents now classed as human carcinogens by IARC have been, or could have been identified, by the standard test programs now in use. Therefore, epidemiology remains a valuable, if underutilized, tool.
2. Bioassays
The most widely developed and accepted method of estimating potency is to calculate a dose-response curve from lifetime animal bioassay data.
Meselson and Russell (1977) have defined potency as
fiT -- In 2/Di(i,
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where >,,, is the daily animal dose which gives a 50% incidence of cancer after a 2vear exposure. Thev further state that K may be derived from the results of the Ames
test, because the ratio of mlK is approximately 1 in many cases, where m is the dose (in jig) reguired for 100 Salmonella revertants.
Crouch and Wilson (1979, 1983) defined potency as the slope of the linear, no threshold extrapolation of an animal bioassay result, that is, as 0 in the equation
R = --ln(l - p) -- a + 0d
where p is the probability of developing cancer at dose d, and a and $ are derived constants. They also suggested that because the interspecies variation of potency be tween rats and mice is small in some examples, the animal-derived data should be applicable to humans also. This is essentially the same relationship used by the Cancer Advisory Group to calculate its unit risks (Anderson, 1983). Their results are slightly different than those of the EPA because of differences in the data bases used and the mathematical extrapolation model.
Bernstein and co-workers (1985) have pointed out, however, that the apparent cor relation of potency between rats and mice reported by Crouch and Wilson (1979) is an artifact of the experimental design, and not necessarily because of the similarity of the species, and thus casts doubt on the ability to extrapolate the data even further to humans.
In at least one instance the Office of Toxic Substances of the EPA (1982) has com bined the estimates prepared by the two quite different procedures of Meselson and Russell (1977) and Crouch and Wilson (1979) into a single table in order to estimate the risks ofworkers exposed to potentially harmful chemicals. The difficulties inherent in the underlying assumptions for these proposals, such as the many unvalidated leaps offaith in making both qualitative and quantitative estimates for humans from bacterial and rodent data, are apparent, as are the problems which arise from the combination of the results that are obtained by these two quite different methods.
The National Academy ofScience (NAS) (1980) recommended that the EPA develop "indicators ofrelative pathological activity" of pesticides from bioassay data as an aid to the overwhelming regulatory task which it faced. The committee also recommended that the EPA abandon its attempt to produce numerical estimates of the effect of the use of pesticides on humans except when reliable human epidemiological data are available. If this recommendation has been followed, the results have not been pub lished. Regulatory agencies generally have adopted a computerized method of eval uating bioassay data (Anderson, 1983). This program assumes a linear, no-threshold relationship and calculates the upper 95% confidence limit curve connecting the origin and the lowest one or two data points. The program rejects 0 or negative data, and thus skews the calculated curve toward higher inputed risks than would a program accepting and processing all available data (Mantel, 1985). Crouch et ai (1984) and Sielkin (1985) suggest that the result is closer to a 99.9% upper confidence Limit. The slope of the resulting curve is taken as the unit risk, which then is converted into a potency index by multiplying the slope, expressed in milligrams per kilogram per day, by the molecular weight of the substance. The potency index is further transformed into an order of magnitude value by extracting the mantissa of the logarithm of the potency index. The agency suggests that this value is not accurate to more than one significant figure (EPA, 1985a).
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The agency publishes a table of relative potencies, along with a description of its procedure, in each Health Assessment Document it prepares. At present there are 54 substances on the list, with the log index values ranging from -1 to 8 (PA. 1985a). The agency has stated, however, that it has not concluded that all of those substances are human carcinogens, but has prepared the potency index nevertheless (EPA, 1984a. 1985a). EPA (1984a) has presented a discussion of the philosophy underlying the evaluation of the animal data and a proposed guideline for the use of such data in estimating human risk.
Others have suggested the use of an index of carcinogenic potency, represented by TDso^ the daily dose which produces 50% deaths from tumors at the end of a lifetime feeding study (Ames et a/., 1982; Peto, el ai. 1984; Sawyer, 1984).
Ames and co-workers (1982) first proposed the calculation of a lower confidence iimit TDjo from negative bioassays, based on the parameters of the study, much the same as can be done from epidemiology results. Using positive National Cancer In stitute (NCI) bioassays, they calculated a range of potencies greater than 107 from the results for female mice.
A later paper (Peto et a!., 1984) suggested that TDS0 be based on the standardized results of all bioassays and proposed conventions for addressing the variation in, or absence of, data in the published results. This group has published (Gold et ai. 1984) a Herculean review of data from about 3000 long-term studies on 770 substances. Potency values, as the TDM, were calculated for each study, with a statistical confidence limit and other useful information. They confirmed the 107 range of potencies, but also found up to a 103 range of potencies within the data for single substances (e.g., vinyl chloride) for which a large number of studies have been reported. This same range of estimates is seen (Barr, 1982) when full-scale risk assessments are performed with the results of vinyl chloride bioassays. This variation has been used by OSHA (1980) as a reason for not considering the risk assessment methodolgy valid or useful. It is, rather, a strong reason for the need for careful and sound scientific reasoning in the performance of risk analyses.
Clayson (1983) proposed that potency should be represented by a figure derived from the relationship 7 -- log DEjo> where DE is the 50% tumor incidence dose ex pressed in micromoles per week per kilogram.
He identified five components of potency: the probability of tumor formation, the dose rate of the carcinogen, the time to tumor, the extent (multiplicity) of tumor formation, and the quality of pathologic diagnosis. The first three issues were stated to be the most important, and were used in his definition. This method produced potencies ranging from 9,2 for aflatoxin to i.9 for saccharin. He also calculated the potency of 4-aminobiphenyl to range from 6.2 in dogs to 4.4 in mice.
Qayson (1983) separated the carcinogenic process into the initiation and promotion stages. He expressed the potency for initiation as X-\og adm + R, where dm is the dose required to initiate a standard number of events, and X and a are constants used to align the results with in vivo studies. R is an expression of the repair capacity of the species under study.
Similarly, potency for promotion, or development, was described by T-log b d9-log c ds, where Y, b, and c are constants, d9 is the dose required to produce a defined proliferative stimulus, and ds is the dose required to produce a given degree ofselection. Combining the two expressions he derived the combined potency as f(R dm-dp-d%). He pointed out that methods of measuring d? and ds are not yet available.
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Crump (1984) has proposed the use of a "benchmark dose" as an alternative to an observed n.o-effect dose in determining allowable daiiy intakes ofchronic toxins. These benchmark doses, when compared to each other, could serve as an index of potency for the particular effect under study. He suggests a curve-fitting process to determine if there is an indication of an intersection or discontinuity in the dose-response curve.
If one is found, that point is taken as the dose to which an appropriate safety factor
is applied to estimate allowable intake levels. The procedure is recommended for occasions when the lowest experimental dose did not appear to be completely without toxic effect, or when the lowest dose appeared to be far below the acutal no-effect dose, and, therefore, would produce an unnecessarily low acceptable dose, [t is. in effect, a way of searching mathematically for apparent thresholds for chronic effects, rather than assuming none exist. Crump recommended this procedure for use with chronic health hazards and not specifically for carcinogens.
The American Conference of Governmental and Industrial Hygienists (ACGIH) (1984) has established three categories of potency for animal carcinogens based on the dosage required to "elicit cancer" in the study. High potency ranking requires statistically significant response below I mg/m3 inhalation exposure for 6 or 7 hr/day over a lifetime, or from a single intratracheal dose ofnot more than l mg of particulate per 100 ml of minute volume, or from twice weekly skin paintings for up to 20 weeks from no more than a total dose of 1.5 mg, or within 6 months after a 6-month dosing in food of less than l mg/kg/day. Low potency carcinogens are defined as those which result in a response after receiving more than 10 mg/m3, or 10 mg of particulate, or a total skin dose of greater than 1.5 g over 75 weeks, or greater than 50 mg/day in food. Substances of intermediate potency result in a response at doses between those listed. Substances requiring an inhalation dose greater than 1000 mg/m3 for the mouse or 2000 mg/m3 for the rat, or dermal doses greater than 1.5 g for the mouse or 3.0 g for the rat, or lifetime feeding doses greater than 10 g for the mouse or 100 g for the
rat are excluded from consideration as carcinogens of any practical significance. These potency classifications are then considered in setting recommended exposure limits for occupational settings, along with the degree of evidence of human carcinogenicity (ACGIH, 1984). To the extent that ACGIH recommendations become incorporated into OSHA standards, this is one of the few cases where the potency concept actually is reflected in setting exposure limits at the federal level. Pragmatic groupings of sub stances into categories with similar potencies is a very useful device for the workers in occupational hygiene (Crabtree, 1983).
EPA (1985c) has announced a plan to use potency values to establish reportable quantities (RQs) under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA or '`Superfund"). This plan (Combustion Engineering, 1985) takes as the potency factor the reciprocal of the estimated dose that will cause a 10% mortality (EDi0). These results were grouped into three classes, and appropriate RQs are being considered for these classes.
This is a different manner ofpresentation than that used in the potency index (EPA, 1985a), but the two values are related. The ED,0 can be derived from the slope of the dose-response curve used in calculating the potency index by the expression 0.1 = slope X, where X is the dose in question, or ED,o- There is no intercept in this linear equation becaue of the EPA determination of no thresholds for carcinogens. Thus, the slope of the dose-response curve divided by potency factor (the reciprocal of ED|0) should equal 0.1. Comparison ofthe data ofthe EPA (1985c) and Combustion
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Engineering (1985) reveals lhat many of the data do show a relationship between 0.06 and 0.30. Surprisingly, however, of the 39 substances on both these lists, 9 exhibit a ratio more than one order of magnitude away from the average ratio, some as much as two orders of magnitude in either direction. For example, benzidene gave a ratio of 123, while carbon tetrachloride gave 0.003, a spread of 41,000. Thus, these two potency rankings published within 2 months of each other show an inconsistency range of nearly five orders of magnitude. Such lack of consistency within the same office of the agency is difficult to explain, and casts serious doubts on regulatory de cisions made as the result of such procedures.
Risk assessment, and therefore potency values, has been used in attempts to quantify the risk under given circumstances, and thus the reduction in risk resulting from specific controls (OSHA, 1978). Risk assessments also have been used fairly recently in decisions not to regulate certain pollutants (EPA, 1984b) or classes ofsources (EPA, 1984c). But, given a decision to regulate, the degree of regulation customarily has been controlled by technology and not by acceptable risk. California (CDHS. 1985) currently is developing a policy for carcinogens in which it is stated that a measure of potency is necessary to distinguish between high and low risks, to determine if a specific exposure is actionable, to help in development of exposure standards, and to help set priorities.
The Consumer Product Safety Commission (1983) ranked a number of consumerrelated substances in order of potency, but expressed many caveats as the practical utility of the listing, and apparently have done no more with the results.
The U. S. Department of Agriculture (1985) has developed a revised compound ranking scheme in which separate rankings of hazard and exposure are given rather than a single combined evaluation. This is in effect working backward from a risk assessment to its components.
Potency estimates based on bioassays are limited in accuracy by the design and execution of the assay, as well as by any assumptions used or errors made in the manipulations of the data during the calculation of the estimate. Suggestions have been made that, if the standard bioassay is to be used for risk assessment, adjustments should be made in the number of doses and the relative size of the exposure groups (Hoel and Jennrich, 1979; Portier and Hoel, 1984; NTP, 1984; Gaylor et al, 1985). However, unless some better adjustment is made for interspecies differences than the customary application of an arbitrary weight or surface area factor, the best than can be said for the result of such a risk assessment is that it applies to a very large rodent Adequate consideration ofcomparative pharmacokinetics and other factors is needed to obtain significance for other species (Calabrese, 1983).
Prehn and Lawler (1979) report that the rank order ofpotency of 3-methylcholanthrene among 10 strains of mice reverses when the dosage is reduced 100-fold. They ascribe this effect to the biphasic nature ofthe immune response, where a weak stimulus induces tumor growth but a strong challenge invokes protective action. The degree of change in these responses can vary with species and strain of rodents. It is recognized that there is very poor concordance between mice and rats in the standard bioassay (von Whittenau and Estes, 1984), and the National Toxicology Program (NTP) (1984) is reconsidering whether the mouse bioassay should be retained.
Further, use of 50 percentile mortality rates, or any other single-point datums, ignores differences between the slopes of the dose-response curves for the substances being compared. Van Ryzen (1980), Park and Snee (1984), and others have recom-
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mended that in order to minimize errors arising from the model for this reason, extrapolation of the response curves by some suitable model be carried to a 1 to 10% repsonse level before a safety factor is applied. The data ofLijinsky and Reuber (1984), illustrating variations in potency with dose, support the value of this suggestion, as does the statement of the Science Advisory Board (1985b) that rate of dose is of importance in quantifying the carcinogenicity of chromium (VI).
Monograph No. 3 from European Chemical Industry Ecology and Toxicology Centre (ECETOC) (1982) discusses the difficulty of attempting to express the dose, which is an independent parameter, and intensity and incidence, dependent parameters, into a single figure, and conclude that an accurate potency value cannot be determined for that reason. Also, theOSTP has pointed out (1985) that relative potency calculations based on a standard measure oftoxicity "attempt to compress an entire dose-response curve into a single number" and thus "may offer little insight into the relative risk in the low dose region."
There are many respected scientists who question the relevance of the bioassay as now conducted to human risk. For example, Lederberg (1981) has said:
First of ati. understand that one or two or three hundred millions of dollars a year that we're now spending on routine animal tests are almost all worthless from the point of view of standard setting. It may be appropriate for setting alarms, but once you get a bladder cancer in a certain percentage of male mice who have been through two generations of saccharine treatment, what then? Is the male mouse a good model for the male human , . 1 would think the most immediate solution is to redeploy some of our resources: and the resources are not only money, there is the time and effort.
Golberg (1985) has expressed the hope that "`anachronisms such as the carcino genesis bioassay and the MTD (maximum tolerated dose) will finally be relegated to the Smithsonian Archives as relics of the Dark Ages of Toxicology." IARC (1984) has concluded:
In the present state of knowledge, it would he difficult to define a predictable relationship between the dose (mg/kg bw per day) of a particular chemical required to produce cancer in test animals and the dose that would produce a similar incidence of cancer in humans. Some data, however, suggest that such a relationship may exist, at least for certain classes of carcinogenic chemicals, although no acceptable method is currently available for quantifying the possible errors that may be involved in such an extrapolation procedure.
A major factor in calculating potency from bioassay studies, as well as from many epidemiology studies, is the lifetime dose received by the individuals or animals. How ever, upon reflection it is obvious that lifetime dose is irrelevant, and that it is only the dose received before the last irreversible dose-related stage in the initiation-pro motion series of steps that has any relevancy to the relative potency of the substance. Once this last irreversible step has occurred, there is no further effect on the malignancy. Current studies make no effort to determine when such a step occurs, and in many cases there currently is no way of determining what the event is or when it occurs. Thus, as Lederberg (1981) states most of our present efforts are worthless because the fundamental concept of latency is ignored.
Nevertheless, the rough estimates which can be prepared solely from crude bioassay data do have a place in regulatory processes. It is appropriate to reduce the level of concern for a substance found not to have a significant potency rating, and then to examine further those with higher values (Barr et al, 1981; Doll, 1984).
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J, Animal Skin Painting
The convenience, speed, and economy of animal skin-painting tests, particularly with mice, have led to its widespread use as a screeing test, and has made a particurlarly valuable contribution to our knowldege of promoters and their mechanisms. Pitot (1983) has prepared a concise review of early results in this field. Protocols have been developed which allow comparison of time to tumor appearance after treatment with various substances relative to that for a standard substance, often benzofojpyrene, thus leading to the calculation of relative potencies for the substance (Holland et al, 1979, 1981).
The first tumorigenic response to skin painting is the appearance of papillomas at the treatment site. Progression to malignant expressions, such as squamous cell car cinomas, occurs in a relatively small fraction of events (Hennings et al, 1983; Furstenberger et al.. 1983) and does not occur with ``pure" promoters. Initiators are effective in causing this progression. These facts support the two-stage mechanism of promotion and limit the value of much of the skin-painting data as far as its relevance to other routes of exposure. However, Hennings and Yuspa (1985) have questioned many of the shibboleths now current in the skin-painting field, and called for a reevaluation of many of the present concepts.
Regulatory agencies generally do not accept tumorigenic response in the skin only at the application site as indication of human carcinogenicity (OSHA, 1980). However, some substances can cause carcinogenic response at remote sites after skin application. Tobin et al. (1982) examined the 247 chemicals designated by IARC as having some degree of evidence for carcinogenicity, and found skin-painting data for 51 of them. Of the 51, 36 did produce skin tumors. Of those 51, 20 had been studied by necropsy of the animals, 10 of which were positive and 10 of which were not. Of the 10 positive substances, 5 produced lesions at other sites. Ofthe 10 negative substances, 3 produced lesions at other sites. Thus, 7 of 51 substances supposedly positive by IARC standards gave responses at neither the skin nor other organs. In addition, 15 others did not produce skin tumors. The authors concluded that "animal skin-painting tests, applied according to current protocols, cannot be conclusively relied upon to determine the potential carcinogenicity of applied chemicals."
A potential conflict could arise with many regulatory philosophies if the results of skin-painting tests were adopted as a measure ofcarcinogenicity, Workers in this field consistently use "subthreshold" or "noncarcinogenic" doses (Hennings et al, 1983; Furstenberger et al. 1983) to prepare animals for tests ofpromotional capacity. Further, classical studies have shown the reversibility of the initiation step (Pitot, 1983). The concepts of threshold and reversibility, as well as the problem of nonprogression of benign tumors, are in direct conflict with the philosophical positions ofmany regulatory agencies, and it would cause serious credibility problems for them if potencies from skin-painting data were accepted into existing schemes.
4. In Vitro Data
The ultimate value of in vitro data, if they prove useful as indicators of carcinoge nicity, would be as a substitute for bioassay data in potency estimation. Several workers have tested this application by calculating potencies, and in some cases, testing the results against bioassays or other indicators of carcinogenicity.
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Ames and co-workers have commented (McCann et al.. 1975. 1976: Ames and Hooper, 1978) on an apparent relationship between the early results of that test and
carcinogenic potency in animals. A spirited discussion of that suggestion occurred in Nature (Ashby and Styles, 1978; Ames and McCann, 1981) and elsewhere (Heddle
and Bruce, 1977; Hollstein ei al., 1979; Dunkel, 1979; Bridges et at., 1981) during which Ames stated that "this kind of correlation is never going to be very precise or likely to hold for every type of chemical" (Ames and McCann, 1981). Rinkus and
Legator (1979) joined the discussion and extended the examination of the utility of the test (Rinkus and Legator. 1981), These and many subsequent studies (De Flora
et al., 1984; Haworth et al., 1983; McCann et al., 1983) have explored the limits and utility of the Ames test. Legator and Harper (1982) concluded that the tests "cannot
be used as a primary screen or to quantitate potency," and an ECETOC committee (1982) stated that these are "good scientific reasons" for not using mutagenicity data
in risk assessments. OSTP (1985) concludes that "short-term tests are presently limited in their ability to predict the presence or absence ofcarcinogenicity and cannot supplant data from long-term animal studies or epidemiological investigations." They do cite
short-term tests as useful in screening and in deducing mechansims of action. Most regulatory guidelines accept In vitro data as supportive of other positive results.
These positions appear justified when quantitative examinations of correlations between in vitro and bioassays studies are examined.
Many studies have reported the failure of short-term tests to identify certain classes of animal carcinogens (Ashby and Styles, 1978; Legator and Harper, 1982), A dozen ofthe substances on the EPA carcinogen list (EPA, 1985a) failed to give positive results with any test strain in a recent NTP study (Haworth etal., 1983). The negative response included particularly those substances which appear to act through a nongenetic
mechanism. It now is generally recognized that such carcinogens must be classified and evaluated separately (Gori, 1980; Weisburger and Williams, 1981b).
However, even for putative genotoxic materials, there are substantial differences in response from various tests, as would be expected under the mulitfactoral and mul tistage concept of carcinogenesis. This raises the question of which, if any, of the various positive and negative short-term responses should be used to estimate potency. Some responses are decreased by the presence of mammalian metabolic enzymes, while others are enhanced, raising another confounding issue. Nevertheless, scientists, have endeavored to test the correlation of various tests and animal bioassays.
Rosenkranz (1977) found a different order of activity for halogenated olefins and their derivatives between Escherichia coli and Salmonella, and concluded that "bac terial mutagens cannot be scored reliably in the standard Salmonella assay."
Casto (1981) repotted on the lowest effective concentration for viral transformation enhancement of 136 chemicals from a broad range of classes. He found a 94% agree ment with the current carcinogenic classification. Fifty chemicals were tested by three other tests also, and the DNA repair test was found to be 50% accurate, while the
DNA fragmentation test was 72% correct, and the chemical transformation test rated 92%. Potencies, defined as the lowest effective concentration, ranged over five orders of magnitude.
Margolin et al. (1981) attempted to adjust for the acute cytotoxic effects by developing a dose-response curve adjusted for this toxicity. Their key parameter ^ in a single-hit model was taken to represent mutagenic potency. They explained the large uncertainty in the value of0 by the presence ofan excess ofhistidine in the test solution, and thus
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a failure to restrict the test to the first generation only of the bacteria. They found that the test as normally run was not accurate to more than one order of magnitude.
Parodi and co-workers (1982) found some correspondence between carcinogenicity and one or another of six short-term parameters in 95 cases. The correlation index was about 0.4, giving poor quantitative predictability, and the range of calculated potencies covered about seven orders of magnitude.
Anderson (1982) suggested a ranking of test methods by their predictive value, and defined PV,0 as the proportion of carcinogens among the chemicals found to be positive when 10% of the group submitted for testing are found to be carcinogens by bioassay or short-term test. The data of Purchase et al. (1978) were evaluated and the Ames and cell transformation tests were assigned PV,0 values of 63 and 77, respectively, but it was pointed out that any positive result in any one of the short-term tests was accepted. Using IAR.C and NCI bioassay test results she assigned PVl0 values of 35 and 38 to mouse and rat studies.
After consideration ofthe characteristics ofthese tests, she concluded that for potency "a fixed quantitative relationship is improbable for several reasons.*' The reason in cluded the need to consider dose-response slopes, and the variability of test protocols and conditions, including the S-P preparation, and stated that "false positive and false negative results belie a quantitative relationship between in vitro and in vivo results."
In discussing the problems and advantages of short-term tests in assessing carci nogenic risk, Ramel (1983) concluded that while qualitative correspondence could be expected between short-term tests and carcinogenicity, quantitative correspondence could not. Some of the reasons he gave were that only the initiating and not the promoting steps are related to mutagenicity, and because of the repair system, cancer is not an inevitable result of a mutation. He points out the need for a better under standing of the overall mechanism before reliable test systems could be developed. This position is supported by the observed reversibility of some of the supposedly mutagenic endpoints in humans (Hansteen et al., 1978; Pitot, 1983; Shubik, 1984; Clive, 1985).
Tates (1982), speaking at the same symposium, reviewed the kinetics of several widely used in vitro tests in several types ofcells and said that "appreciable differences were observed between the kinetics of EMS-induced mutations in microorganisms and in mammalian cells." His conclusion was that "one should be cautious in quan titatively extrapolating potencies from lower organisms to higher eukaryotes, in par ticular man. Fuchs (1984) found that there is no direct correlation between the binding spectrum and the mutation spectrum of Ar-acetoxy-2-acetyIaminofluorene.
Singh and Gupta (1983) determined the minimum concentrations of 13 anticancer drugs which were effective in the multiple genetic loci test, using five loci, aDd the sister-chromatid exchange test in Chinese hampster ovary cells. Potencies ranged over five orders of magnitude, and alt drugs were positive in all tests, but displayed "inter esting genetic lower-specific differences in their responses." A plot was provided of the dose-response curves, which showed wide variation in the slopes of the curves.
DeFlora and co-workers (1984) compared 135 compounds in the Ames test and the DNA repair test. They found a 71% agreement between the two tests, and a 64.5% accuracy for the Ames test and a 72.4% accuracy for the repair test, as evaluated by their carcinogenicity in rodents. The potencies, defined as the number of responses divided by the quantity of the test material, varied over seven to nine orders of mag nitude.
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Osterman-Golkor (1984) determined the dose-response curves for more than a dozen substances over a wide dose range while measuring the mutation rates in E. coli. Many separate doses were spread over two or more order of magnitudes using 109 cells per treatment, so that very reliable dose-response curves were generated. Each of these showed a linear relationship on a log-log plot in the lower part of the range studied, and each substance displayed a dose-response curve which yielded less than 0.1 mutant per 10 survivors in or near the experimental dose range. Several of the substances gave quadratic dose-response curves in the upper dose ranges.
Garrett et al. (1984) grouped many of the short-term tests into categories evaluating similar results and tested them against 24 substances listed as human carcinogens by IARC. This led to identification of the most appropriate tests for each target organ. As expected, a considerable degree of discordance was found for certain test pairs, and it was stated that negative results in certain tests often is the correct response for a substance which may be positive in a variety ofshort-term test systems. They pointed out the need for further validation of many of the tests with known carcinogens and noncarcinogens.
Russell and co-workers (1984) compared the findings from mammalian germ cell mutation tests, which are presumed to predict heritable risks, with results from other
genotoxicity assays. In only l of 25 such comparisons, that of heritable translocation versus unscheduled DNA synthesis in the testis, did a significant correlation appear. Ma et al. (1984) reported a 67% congruity between the Ames test in 41 substances in the Tradescantia micronucleous test.
Dolara and Caderni (1984) compared the test results for a group of carcinogens and noncarcinogens and concluded that, despite the apparent degree of agreement, "a causal link between the two phenomena of mutagenicity and carcinogenicity" has not
yet been established. They find that, depending on the criteria used to determine a positive response, correct results are found for 58-81% ofcarcinogens and 34-66% of
noncarcinogens. Their conclusion is that "given the difficulty of extrapolating from animal carcinogenicity studies to human carcinogenicity, it would be unwise to expect a nonproblematic link between mutagenicity and carcinogenicity."
Shelby and Stasiewicz (1984) analyzed the results of several in vitro and in vivo short-term tests on materials found to be negative in two species in bioassays. They found high rates of false positive results in all test methods, and very poor concordance
of any of the test methods with the bioassay or each other. Cragg et at. (1985) attempted to correlate results from the Salmonella assay with
skin-painting data for several hydrocarbon fractions, but were unable to obtain positive Salmonella results for even the fractions positive in the skin test. Blackburn et al. (1984) had seen quite good correlation in a similar trial and commented that modi fications to the Ames test are needed before reliable results can be obtained for petro leum-based materials. With such modifications, the Ames test appeared as a reasonable predictor for skin carcinogenicity for that group of substances.
The difficulties experienced by these two groups are a reflection ofthe greater overall problem that none of the short-term in vitro tests can depict the whole animal, Butterworth (1985) has been quoted as stating that "I can think of nothing further from the human condition than the Ames test." He goes on to recommend in vivo/in vitro DNA repair tests that do incorporate whole animal response.
As more is learned about the mechanisms of carcinogentcs it may be possible to find suitable tests which do reflect similar mechanistic processes. For example, Kilkenny
et al. (1985) report "an excellent positive correlation" betweeen the potency of a
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variety ofanimal skin initiators and their capacity as inducers ofaltered differentiation of cultured mouse keratinocytes in vitro, and Toftion et al. (1985) reported that the in vivo tumor response to chemotherapeutic agents was predicted by their capacity to induce sister-chromatid exchange in vitro. Related effects such as these are more likely to be predictable than are nonrelated events represented by the apparently random choices of test pairs utilized in some potency comparisons.
An often unrecognized problem pertinent to the use of short-term test data to es timate carcinogenic potency is the no-response level. It generally is accepted that mutagenicity data are relevant only to genotoxic carcinogens, which are presumed by many to have no demonstrable threshold. That is correct insofar as statistics go; it is impossible to prove a negative by statistics. One must look to biological data to evaluate the question.
Thus, when mutagenic test results are taken as the paradigm for carcinogenicity, it must be recognized that, in every case where tests have been run over an adequate range of doses, a no-response dose has been observed. This has been stated explicitly by some authors (Casto, 1981; Singh and Gupta, 1983; Sivak, 1979; Sivak and Tu, 1980; Garrett, 1984; Clive, 1985) and is apparent in the data presented by others (Haworth etai, 1983; Hussain, 1984).
These tests utilize several millions of cells per plate, are done in replicate, and, in the case of the Haworth (1983) study, were reproduced in several laboratories. The statistical analysis therefore is very robust. It should be noted that the plotting used in the Haworth report is incorrect. The line was drawn from the lowest dose to the lower left comer of the diagram, regardless of the break in the x axis, and of the fact that these were log plots, in which there is no "zero comer." The line should extend past the last data point only as an extrapolation of the data from higher dose levels, not as an attempted interpolation to a nonexistent zero.
The paradigm of mutagenicity for genotoxic carcinogenicity becomes a paradox when faced with an obvious no-effect dose level. Potency no longer is an invariant and independent variable, but exists only under certain conditions of exposure as it seems also to do for animals and humans. Ekwail (1983) points out that any attempt to correlate in vitro cytotoxicity and LD5f> data must consider organ-specific toxicity, the pharmacokinetics of the intact animal, and the biases and limitations of the test methods that do not reflect real life.
There is a strong temptation to use the readily available short-term data to estimate potencies. In view of the fact that such data are of no relevance for nongenotoxic carcinogens and genotoxic promoters and ofvery dubious quantitative value for geno toxic initiators, even when they can be identified as such, that temptation should be resisted except for making the crudest of preliminary screening decisions.
Anoiher reason for caution is the lack ofpast agreement on what criteria constitutes a positive or negative result. Current studies often report a stated statistic, or give enough data for the reader to draw a conclusion as to the outcome, but earlier studies often only stated the authors opinion ofpositive or negative. Also, many workers have used a twofold role as the criterion for a positive result which may have been unduly strict.
5. Acute Toxicity
There is a recognized relationship between chronic toxicity and the carcinogenic action of some nongenotoxic carcinogens. Several instances are known where cancer
*
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does not develop until after chronic toxic effects are exhibited. Examples include formaldehyde (Swenberg et ai, 1980), PBB's (NTP, 1983), halogenated methanes (Reitz et ai, 1978), and other substances (Squire, 1984).
Wilson and co-workers (Zeise et ai. 1984) have extended their studies on estimation of potency with a proposal that acute toxicity, and moTe particularly LD50. may be used to estimate carcinogenic potency. A simplified form of their definition is
0 = i>/(LD,,)c + k7
where & is potency, C and D are empirically derived constants, and k contains an expression of the variance of the estimate. Values of C and D were calculated for Osbome-Mendel (OM) and Fischer 344 rats and B6C3FI mice from NCI bioassay results. Regression analyses of the logarithms of the potency and LD50 values were then done, Correlation coefficients were found to range from -0.93 for the OM rat to -0.59 for the mouse. More detailed examples were given of the calculations for saccharin, tetrachlorodibenzo-/>-dioxin, formaldehyde, and vinyl chloride.
The method is recommended by the authors for making decisions on interim stan dards and on the need for further study. The authors state that there are, under this proposal, no noncarcinogens, only those whose potency has not yet been measured, and therefore is smaller than some upper bound.
There are two methods that can be used to test this hypothesis. One is to compare the calculated potencies of animal carcinogens with the reported LDia values to see ifthere is some correlation. The other is to compare the LD^ values ofseveral common substances with that ofsome known carcinogens to see ifthe supposed carcinogenicity ofthese as yet unrecognized carcinogens is adequate to allow detection by epidemiology. The authors apply the latter test and find that sugar and salt each would predict an annual cancer mortality of about one million persons. Alcohol and caffeine would add another few hundred thousand each, and aspirin about 25,000. They suggest that this proposal should be tempered with the results of short-term tests, and also state that inorganic chemicals and physical agents (asbestos) are not expected to fall under the scheme.
The first test method also fails to support the hypothesis. Acute oral data are available from NIOSH(l983) for 42 ofthe substances for which the EPA (1985a) has published potencies based on bioassay data. Regression analysis of the EPA potencies against the rodent LDjo data from NIOSH (1983) yielded a correlation coefficient of 0.089 (Turetzky, 1983, personal communication). Recalculation using only the 14 chloroaliphatic substances on the EPA carcinogen list (EPA, 1985a) gave aline with slope of 0, indicating no relationship between the variables.
There may well be some general association between acute toxicity and carcino genicity. Shimkin et ai (1966) first suggested such a relationship based on the devel opment of lung tumors in strain A mice when treated with alkylating agents. It is recognized that a variety of physical and physiological effects either enhance or produce a carcinogenic response. Substances which cause this result are grouped loosely into the nongenetic or epigenetic categories (Gori, 1980; Weisburger and Williams, 1981b). Three of the four substances cited by Zeise et ai (1984) as having some correlation between toxicity and carcinogenicity are thought to be nongenotoxic in their mech anisms. The fundamental questions are whether this relationship is generic or specific and whether it can be quantified, particulaiy between species.
Recent reports suggest that there may be some relationship between acute and
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chronic loxicity in fish. For example, Kenaga (1982) reviewed the literature reports on 84 substances and found that 86% of the LQo acute values were less than two
orders of magnitude from the chronic no-effect dose. The acute/chronic ratio was 25 or less in 93% of the cases. Suter el al. (1983) found that acute toxicities can be extrapolated between either species or orders of fish with good reliability, and confirmed the findings of Kenaga (1982) of a value of 0.8 for the regression coefficient for the 96-hr LQ0 and the maximum acceptable chronic exposures.
Janardan eiai (1984) found reasonable (order-of-magnitude) correlations between LC<o for fish and LD50 for rats for substances that act through nonspecific toxicity mechanisms, but not for those with specific toxicity, such as organophosphate pesti cides. Thus, these may be a very serious chain from acute toxicity to chronic, and from some species to others, but the generality of the relationship is not proven.
Albert has supported the use ofacute toxicity in the first stage ofan all encompassing test program (Albert, 1983a). All substances for which there are significant human exposures would be subjected to genotoxicity tests in order of descending acute toxicity. Those which passed that test would then be tested for promotional ability. The genotoxic substances found in these two tests would then be subjected to a simplified "supra-MTD" bioassay. Substances which gave positive results in that step would then go to a full-scale bioassay. The purpose of this proposed program is to reduce testing costs and time by concentrating on those which are most likely to be frankly carci nogenic. This proposal received little support from scientists who were asked to review the idea and who pointed out the lack ofsupport for a quantitative relationship between mutagenic potency and carcinogenicity (Marshall, 1982).
T. D. Jones and co-workers (1983) propose that tumorigenesis should be studied in light of cellular population kinetics; they then use cell irritation, proliferation, and differentiation data to estimate tumorigenic potency (cell potentiation) for several simple compounds. While emphasizing that cell-specific potentiation factors must be considered, they utilize acute exposures in their models. Working back from the potency calculation they compare "practical thresholds" for several simple substances such as ozone, carbon monoxide, and sulfur dioxide to the allowable exposures under current recommendations. They conclude that current exposure limits are adequate to protect from carcinogenesis for most of these substances. They also suggest that this approach should be useful for planning research, ranking priorities, and guiding experimental designs.
Parodi and co-workers (1983b) included LD50 as one ofthe variables tested in their study of the relationship between carcinogenicity and in vitro results. They found a 0.43 correlation coefficient between the log of the LD*> and the log of the potency index in the Ames test with 76 test substances.
One additional relationship between acute and chronic toxicides must be considered also. It is a fundamental tenet of classical toxicity that there in a dose below which no effect is seen (ACGIH, 1984; Weil, 1984). Ifcarcinogenicity is related to acute toxicity, either directly or through secondary or chronic effects, it must then observe the same no-response phenomena as does toxicity. Proponents of the acute toxicity-carcino genicity relationship are not willing to accept this point. Rather, they propose to denote all substances as human carcinogens (Albert, 1983a; Zeise, 1984) and reduce risk by regulating or testing the substances in order of descending toxicity. It is doubtful that a hypothesis that puts carbon monoxide, hydrogen cyanide, and hydrogen sulfide near the top of the priority list really is helpful to the regulators trying to allocate their resources wisely.
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Finally, the shortcomings of the LD5(> test itself are well known and suggest that extensive extrapolation of conclusions based on such data are subject to substantial error (Davan, 1983; Ekwall, 1983: Malrafors and Tiding, 1983; Paset, 1983; Rowan, 1983).
6. Structure-Activity Relationship
Reliance on structure-activity relationships (SAR) is an intuitive act for chemists, who use the principle of homology in their everyday thinking. It is thus natural to begin to try to expand those relationships beyond physical properties and chemical activity. It is not surprising then that seekers of Ehrlich's "magic bullet" or Huxley's "cunningly contained torpedo" (Golberg, 1983) should turn to SAR for guidance, and that others should feel comfortable in predicting toxic properties from structural fea tures. The potential value of such a system, if it should be successful, has generated considerable interest and research and at least one major symposium (Golberg, 1983).
Many procarcinogens are thought to be activated by the cytochrome P-450 group of enzymes to epoxides, which can then bind to DNA and result in cancer in animals. These products are seen frequently as the metabolic intermediates and give positive in vitro responses. This is particularly true of the chlorinated olefin family and in many polycyclic aromatics. A number of workers have been encouraged to examine on theoretical and experimental bases the tendency of substances to form epoxides and the stability of those products. A high degree of correlations has been found between some of these parameters and the carcinogenicity ofthe precursors in rodents (Henschler, 1977; Van Duuren, 1977; Van Duuren et at, 1983; R. B. Jones and Mackrodt, 1983a,b; Loew et al., 1984; Politzer and Lawrence, 1984). However, studies at Vanderbilt have reported (Liebler and Gungerich, 1983) that the epoxides do not appear to be in the direct pathway to tumor formation, but are simply coproducts. Furthermore, the adduct of the expoxide from vinyl chloride with guanine does not cause miscoding in a replication fidelity assay (Barbin et ai, 1985). Therefore, the interesting SAR correlation found in these cases may be only coincidental.
Vance and Levin (1984) have analyzed a series of nitroaromatics for activity in the Ames test and concluded that ring size, ring position of the nitro group, conformation of the nitroso group to the plane of the ring, and ability to stabilize the ultimate electrophile through resonance are important in determining the activity. They suggest that this work now allows the estimation of the mutagenic potency of nitroaromatics. Hall et aL. (1984) have measured the addicitivity contribution of several functional groups to acute toxicity in fish ofa series ofsubstituted benzenes and found a correlation coefficient of 0.95. If acute and chronic toxicities are related, this relationship could be useful.
Rosenkranz and co-workers (1984) have concluded that no satisfactory SAR has been devised from a pattern recognition basis and stated that there is no evidence that biological activity is determined by the functional group or the organic moieties present. An insufficient data base is given as one reason for the lack of a suitable prediction system. They propose that a molecular fragment evaluation, rather than pattern rec ognition, is more successful in identifying both activating and inactivating portions of the molecule, and thus the prediction of the overall risk posed by that molecule. The result of their analysis is an estimate of the probability of the carcinogenicity of the substance, as determined by argument with animal bioassay results. A table of
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results shows good agreement for substances thought to act by genotoxic mechanisms, but very poor accuracy for nongenotoxicants.
Noham et al. (1985) worked out the structural relationship necessary in a series of nitro- and aminobiphenyls in order to achieve mutagenicity in the Ames test. They concluded that "the positional effects of substituents on mutagenicity remain to be explained theoretically."
Mellinger (1985) reported that polycyclic amino structures always were predictive for mutagenicity in complex hydrocarbons mixtures and that molecular weight was important in initiation and promotion. Their data base included Salmonella tests, mammalian cell transformation, and mouse skin painting.
The ultimate shortcut is, of course, to use a computer to predict carcinogenicity, or other toxicological properties, directly from a formula on paper, with no experi mentation needed. Several workers have developed procedures for just that purpose (Enslein and Craig, 1982; Enslein et al., 1983; McCann et al, 1983; Rosenkranz et al, 1984; Loew et al, 1984; Helmes et al, 1985).
At least one on-line electronic data base offers while-you-wait computation of LD50 values(Rekker, 1982).Inothercases(Kaufman, l983)aprogramwilldesignastructural module with the desired toxicological features. These procedures rely on multiple regression analyses of specific structural groupings, atoms, or bonds, together with physical properties, against recorded toxicity data for a specfied group of exemplary substances (Chignell, 1983).
There appears to be a general consensus that, so long as relationships are confined to a single family of compounds, or to a single species, that SAR may be helpful and reasonably accurate for qualitative purposes. Attempts to quantify the relationship (QSAR) or to extrapolate to other species or significantly difficult functional groups are less successful. One major problem is an acknowledged lack of an adequate data base. Golberg (1983) pointed out that "a concerted effort is needed on the part of all of us to produce the necessary information. . . . Then, and only then, will the appli cation ofQSAR assume its rightful place." A review committee assembled by the EPA (EPA, 1985b) has concluded that QSAR cannot be "recommended as the sole basis of a risk assessment of chemical mixtures."
More than just large numerical data bases are needed, though, because biological variations must be accounted for. The QSAR working party ofthe IUPAC Commission on Medicinal Chemistry (1981) defines the requirements as a set ofbiological test data as obtained from well-defined interactions between chemical substances belonging to congeneric series ofstructures and an active site in a biological system (Rekker, 1982). That need does not seem to have been met. Trosko (1985) states that the major problem has been the use of "bad" in vitro data in attempts to correlate with in vivo results, and calls for a critical reevaluation of the entire in vivo/in vitro program.
Careful control of all three of the variables listed by the IUPAC commission will be difficult. Metabolism occurs in a variety of organs at rates dependent on dosage in many cases, and minor changes in substance structure can make major changes in one or more of the metabolic stages leading to the ultimate carcinogen, even within the same species. Wishnok (1981) has concluded that application of QSAR "appears to require extensive additional physiological and biochemical information about the species ... the extrapolation of relative potency data from one species to another should only be attempted with the understanding that such evaluation may be strongly dependent on the original experimental dosing scheme." Dudney et al. (1982) also emphasize the variability of results between different systems.
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The Office of Toxic Substances relies heavily on SAR in screening the premanu facturing notices reviewed under Sec. 5 of the Toxic Substances Act and is engaged in a 2-vear study to verify the validity of many of the assumptions supporting that reliance (EPA, I984d). NTP was invited to participate in the study, but the Board of Scientific Counselors has declined to do so, citing flaws in study design and the inavail ability of much of the needed data. They have offered to assist in redesigning the proposal (NTP, 1985). The FDA has had in use for several years a "catalogue of
structural moieties" which it uses in setting priorities for testing in the Food Animal Evaluation Branch (Lorentzen, 1978). The guideline points out the need for metabolic data by the target tissue in order to make accurate predictions.
Acceptance of QSAR has not been as great in Europe even as in this country. ECETOC (1982) concluded that SAR has very limited reliability, and IARC (Bartsch and Tomatis, 1983) concludes that the relationship is "not presently established." However, German authorities do use potency values based at least partly on structure in setting occupational exposure limits for presumed carcinogens (Ministerium fur Arbeit, 1982).
DISCUSSION
There are relatively few substances for which the relationship between toxicity and carcinogenicity is such that most or all of the rodents will have developed malignant tumors at the end ofa lifetime bioassay, even when treated at the maximum tolerated dose. In fact, only a minority of bioassays produce positive results in more than one of the four species/sex combinations found in each study (Purchase, 1980; Haseman et al., 1984; DiCarlo and Fung, 1984; Shelby and Stasiewicz, 1984; Meyers el ai, 1985). There is little controversy regarding the need to control exposure to those substances which do show positive epidemiological response or which produce high yields in an appropriate animal study. Disagreement over the proper regulatory stance develops when the expression of carcinogenicity t^clear, and especially when it is necessary to resort to detailed statistical analyses to determine if there actually has been a response. As shown in the references cited immediately above, a majority portion of the substances tested by the NCI and NTP or considered by IARC to be human carcinogens fail to give a clear signal in a bioassay. Therefore, ifthe qualitative determination of the carcinogenicity of a substance is equivocal, efforts to place a quantitative value on its carcinogenicity must be even more difficult.
This difficulty is magnified greatly each time that the data source is found to be another step away from the human condition. By the time the path has led from whole animals to bacteria or individual cells, then to nonchronic effects, and finally to pure structural considerations, as described above, much of the scientific foundation has been moved out ofthe process and has been replaced with the inflexible assumptions and fixed guidelines which seem to be necessary to make the process coherent, or at least workable.
Much of this apparent difficulty comes from the attempt to use a single datum as a basis for a regulatory decision. A positive bioassay is a significant piece ofinformation, not to be ignored in safety and health decision making. A positive short-term test also is a useful datum and can serve as an indicator of the need for more study. None of the various pieces ofinformation taken singly, or often not even when taken together, is an adequate basis for a sound decision on how best regulate a particular substance in order to protect human health and the environment adequately.
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The Food Safety Council (1982) proposed a decision-tree approach for evaluating the safety of food components which utilizes all available data on a substance and the compound's metabolic fate before reaching a final decision. Park and Snee (1984) expanded on this procedure and discussed its utility in other applications.
Squire (1981) proposed a ranking system for setting priorities for further testing depending on a quantitative assessment of the value of each component of the decision tree. Weisburger and Williams (1981a) have suggested a more limited range of tests to assist in decision making.
Only slight signs of acceptance within regulatory circles for this broader approach are evident. California is using a modified Squire ranking system for safety evaluation of pesticides (Wang, 1984) and is in the processs (CDHS, 1985) ofdeveloping a policy which will rely in part on potency as a guide to regulatory action. EPA has claimed a weight-of-the-evidence process for evaluating carcinogens for many years (Anderson, 1983), but a recent proposed revision of the 1974 interim guidelines (EPA, 1984a) actually left little choice other than to perform a linear, no-threshold extrapolation of the upper 95% limit risk if any sex of any species showed a positive response at any organ.
Clayson (1983) has been nearly alone in attempting to utilize knowledge of the mechanism of action in the determination of potency, and, therefore, risk. Other methods treat cancer as a single disease which arises by a single mechanism. This is a conscious decision (EPA, 1984a). This biologically unsupportable position is invoked whenever there is less than complete knowledge, and thus is likely to prevail in most regulatory decisions. A better understanding of the mechanisms involved is likely to be of much greater value to society than is the performance of a few dozen more lifetime studies on suspect substances that obviously cannot be having a measurable effect on human life spans.
Research workers generally have had less interest in the need for greater precision and validation of the test systems discussed above than in developing a greater diversity oftests. Neither science nor the public is being served by this expansion in the number of data bases of uncertain value. The existence of a hundred or so short-term tests claiming significance for "mutagenicity," and, therefore, perhaps carcinogenicity, is a prime example. It may well be more profitable to determine the meaning of mu tagenicity, and its potential relationship to human carcinogenicity, than to develop more test systems at this time (Clive, 1985).
A major concern is the overcompartmentalization of the risk assessment arena and the overdependence on specialists who are not familiar with other segments of the field, and who thus have inadequate appreciation of the overall significance of the whole body ofdata. This concern was discussed extensively at the Deer Creek Workshop (Hughes et al., 1983) but continues to be a factor, particularly in regulatory consid erations. In particular, statistics often is not the servant of the scientist, but too fre quently is used to assert conclusions which do not comport to real life experience. We must find a means to use our scientific tools more wisely than we do at times.
Overinterpretation ofthe potency estimate as now prepared can be a serious problem. The EPA (1985a) has recognized that their animal-derived upper limit estimates war rant no more than single-figure significance, yet results using three or four significant figures are published regularly. The public has been led to believe that these estimates are correct, and thus they demand greater protection from the overstated risk than is possible. Failure to achieve this expectation leads to dissastifaction and unrealistic legislative or judicial attempts to achieve unrealistic goals (Ruckelshaus, 1985).
Public understanding could be improved greatly by the use of more realistic esti-
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mates. The most probable value, rather than upper limit estimates, should be calculated and presented with appropriate confidence ranges. It is not useful to the general public to present a risk estimate with the accompanying statement that "we don't really mean it," as is done with all the explanatory caveats placed alongside the upper 95% estimates. FDA (1981) has described these estimates as "a conclusion with reasonable certainty ofwhat will not occur." Understandably, the public has not expressed great confidence
in agency-derived risk assessments. The National Research Council (1983), through its Committee on the Institutional
Means for Assessment of Risks to the Public, has examined the process of risk as sessment in the federal agencies and developed a lengthy list of recommendations. A major component of the assessment process is recognized as the inference options which are involved in decisions on how to apply the data, or indeed which data to apply. The principle finding of the committee was that risk managment and risk
assessment must be kepi separate to minimize improper comingling of science and political requirements and that the inference options be discussed thoroughly when used. They then recommended a board of risk assessment to review the data base and the results of the analysis of that data. They recommended an independent board of scientific stature to serve as a continuing locus of discussion about ways to improve scientific and procedural aspects of risk assessment. Only EPA has attempted to im plement this last recommendation. It has increased the utilization of the Science Ad visory Board as a review body for its health assessment documents and its risk as sessment guidelines.
The estimate of potency which eventually is established sets the allowable exposure for a particular risk. The magnitude of the potency estimate can have significant influence on whether (further) regulation is required, particularly for a ubiquitous ambient exposure. Reduction of exposures beyond current concentrations is becoming more and more difficult as those concentrations are decreased, and thus accuracy and credibility of potency estimates become more important as time progresses and we continue to expand the sensitivity of our test systems to find responses at lower and lower strengths.
A risk assessment is the culmination of all knowledge concerning the effect of a substance on human health. It, therefore, should utilize all available relevant infor mation. The current procedures for estimating carcinogenic potency from select, lim ited, and often irrelevant data do not do so. Whether they are simple "pencil and ruler" exercises favored by FDA (Lorentzen, 1984) or the more complicated computer-
based programs used by EPA, all appear to place too complete a dependence on the single experiment and use too few of the other biological data that are available.
CONCLUSIONS
A completely acceptable method of estimating relative or absolute potency values relevant to humans has not yet become available. The nearest approximation is the upper limit on risk which can be estimated from epidemiological data. If no cases actually are found, the real risk will be below this upper limit and could be 0. However, statistics do not permit a demonstration of 0 risk.
This, however, has not prevented, and should not prevent, estimates being made from other data, so tong as appropriate caveats are introduced, and the results are used properly. The further the source of the data departs from the human condition, the stronger the caveat that is needed and the broader the confidence limits that must be placed on the estimate.
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No generic procedure can be prescribed for preparing potency estimates. A caseby-case evaluation utilizing all of the available data is required. There should be a clear definition of all assumptions and policy decisions which were introduced, along with a discussion of the consequences of these decisions. The result should be presented as a most likely value, with appropriate confidence or sensitivity analysis limits.
Risk asssessment is an essential element in risk management. The risk manager must be presented with the best scientific support that is available in order for proper decisions to be made.
Public acceptance of the estimates, and the risk management actions taken, can be expected only ifthe results are shown to be within a reasonable range compatible with real life experience. Acceptance will be improved greatly if there has been independent peer review ofthe data base and the final results. There is a serious need for a concerted scientific effort to improve the accuracy of, and to demonstrate the validity of, the tests now being used to supply this data base.
We should not abandon the tests currently available because they have not provided complete answers or because their results have been misused by some. We should continue to try to understand the significance of the data and search for its proper application. Much remains to be done to reach this goal. One important and recognized need is to obtain better validation of the many in vivo and in vitro tests by expanding theircoverage to a wider range of noncarcinogens and Qongenetic carcinogens. Another need discussed earlier is a method of correcting for latency, or, more accurately, of determining time to tumor, so that the acutal effective doses can be estimated. Most important, however, is the need to learn more about the shape of the human doseresponse curve at very low doses and how it varies with dilferent mechanisms of carcinogenesis, including both promoters and initiators.
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