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ToxSci AdvanceTAocxicceoslosgpicuabl lSischieendceDsecember 8, 2010
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3 Chemical Carcinogenesis
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Samuel M. Cohen1,2 and Lora L. Arnold1
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1Department of Pathology and Microbiology and the University of Nebraska Medical
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20 Center/Eppley Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska,
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22 68198-3135, USA.
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27 2Havlik-Wall Professor of Oncology; to whom correspondence should be addressed
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(scohen@unmc.edu).
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Running Title: Chemical Carcinogenesis
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59 The Author 2010. Published by Oxford University Press on behalf of the Society of Toxicology.
60 All rights reserved. For Permissions, please email: journals.pe1rmissions@oup.com
Toxicological Sciences
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ABSTRACT
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Understanding the relationship of chemicals to carcinogenesis has progressed significantly since
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8 the initial observations of Hill and Pott in the 1700s. Distinguishing between DNA reactive
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chemicals and those which increase cancer risk by increasing cell proliferation has been a major
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13 breakthrough in delineating overall mechanisms. Competing processes for activation versus
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15 inactivation of chemicals occurs at many levels, including metabolism, DNA repair, and cellular
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repair processes. These processes can be affected by other agents to decrease carcinogenesis
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20 (chemoprevention). Increasing knowledge of the multiple steps of carcinogenesis is leading to
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22 improved methods for screening chemicals for carcinogenic activity and for regulatory decision
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making. Improvements in assessment of modes of action involved in animal and in vitro models
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27 has led to more rational approaches to assessing relevance to humans. The advent of genomics
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and high throughput technologies have contributed to investigations of mechanisms, and is
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beginning to impact development of better methods for screening chemicals. Based on
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34 developments in basic research, epidemiology, and astute clinical observations, the major risk
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factors and etiologic agents have been identified for a majority of cancers, which is beginning to
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39 lead to methods to decrease cancer incidence overall and identify targets for early detection and
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41 treatment.
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Historical Introduction
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Chemical exposure has been related to the development of cancer ever since the observation by
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8 John Hill (1761) that snuff users developed nasal cancer more frequently than the general
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population. However, chemical carcinogenesis generally dates specifically to the observation by
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13 Sir Percival Pott (1775) in 1775 describing the frequent occurrence of cancer of the scrotum in
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15 chimney sweeps in England. He hypothesized that this was due to their significant exposure to
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soot. More importantly, he also proposed a mechanism to reduce the incidence of these cancers
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20 simply by requiring these individuals to bathe on a regular basis. This was instituted and the
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22 incidence of scrotal cancer was essentially eliminated. It is important to note, given subsequent
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scientific discoveries and emphasis on extrapolation to low exposure levels, that he did not
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27 recommend eliminating the exposure completely, merely reducing it. Scrotal cancer today is a
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rare disease.
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34 Astute clinical observations such as that made by Pott have been the basis for the discovery of
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many of the currently known classes of chemical carcinogens in humans. Examples include the
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39 observation by Rehn (1895) in 1895 that workers in the aniline dye industry in Germany
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41 frequently developed bladder cancer, and more recent observations concerning the induction of
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angiosarcomas in patients exposed to contrast material used for radiologic imaging studies (Van
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46 Kaick et al., 1986) and vinyl chloride exposure in the workplace in Louisville, Kentucky (Creech
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48 and Johnson, 1974).
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53 Research based on these observations led to several seminal discoveries in the history of
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chemical carcinogenesis. Investigation of coal tar, for example, led to the first experimental
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3 induction of tumors in animal models by Yamagiwa and Ichikawa (1915) by painting this
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material on the skin of rabbits and mice. These models have been used in carcinogenesis research
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8 ever since. Similarly, the relationship of soot to cancer induction led to the purification and
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identification of the first pure chemical carcinogen by Kennaway and Hieger (1930), when they
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13 purified a small amount of dibenz[a,h]anthracene, and produced tumors by painting the chemical
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15 on the backs of mice. The observation by Rehn of bladder cancer in the aniline dye industry led
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to the discovery by Yoshida (1933) and Kinosita (1936) of the induction of liver cancer in rats by
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20 o-aminoazotoluene. This research also demonstrated the importance of dietary effects on the
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22 carcinogenic process.
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27 Ultimately, 2-naphthylamine was identified as one of the principle chemicals to which workers
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in the aniline dye industry were actually exposed, and Hueper, Wiley, and Wolfe (1938)
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demonstrated that it was a bladder carcinogen when administered to dogs. In their study, they
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34 were also the first to emphasize the importance of latency. Their experiment involved
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administration of 2-naphthylamine to dogs for two years. The long latency period related to the
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39 development of cancer after chemical exposure has been an important consideration in
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41 theoretical models of carcinogenesis and in epidemiology ever since, and has been a major
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barrier to the identification of additional chemicals and their possible relationship to cancer. This
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46 was illustrated subsequently in numerous studies, such as demonstrating the relationship of
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48 cigarette smoking to lung cancer (and subsequently to other cancers), even though exposure
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frequently began during the teen years of the individuals whereas lung cancers did not usually
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53 develop until after the age of fifty. Even with high exposures to potent chemical carcinogens,
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such as 2-naphthylamine, benzidine, and vinyl chloride, the latency period is frequently twenty
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3 to thirty years or more. The basis for this long latency has posed a theoretical challenge to
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scientists continuing to today, but the necessity for multiple specific genetic errors occurring
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8 stochastically in a single cell provides the explanation for this latency (see below).
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13 Metabolic Activation vs. Deactivation
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15 Numerous chemicals have been identified with carcinogenic activity either in humans and/or in
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animal models. It wasn't until the publication by the Millers (DeBaun et al., 1970; Miller and
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20 Miller, 1977) in 1970 that a common mechanism could be demonstrated for many of the
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22 chemicals from a variety of chemical classes. They were able to demonstrate that an aromatic
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amide, 2-acetylaminofluorene(2-AAF) was metabolically activated to a reactive electrophile
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27 which bound to DNA, forming DNA adducts and ultimately leading to mutations. Metabolic
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activation has been a mainstay of carcinogenesis research ever since. A variety of metabolic
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processes have been identified in the activation of a variety of classes of carcinogens, primarily
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34 involving cytochrome P450 enzymes, but numerous other enzyme systems have also been
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identified in the specific activation of chemicals (Guengerich, 2000).
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41 It has also become apparent that nearly all chemicals undergo metabolism through several
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competing enzyme pathways, with differences in kinetics and saturation levels (Guengerich,
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46 2000). A common group of enzymes involved with carcinogen metabolism are the cytochrome
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48 P450 isozymes. However, numerous other enzyme systems have been identified that participate
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in the metabolism of various carcinogens (Mitchell and Smith, 2010). Although some of these
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53 metabolic processes lead to activation to reactive electrophiles, many actually lead to
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inactivation of the chemicals, by increasing aqueous solubility and leading to their increased
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3 excretion either in the urine or the feces (Figure 1). Thus, exposure to any chemical initiates
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competing metabolic pathways for activation versus inactivation. Detailed research over the past
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8 twenty years has shown that there are marked differences in the level of each of these enzyme
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processes in human individuals, due to differences in activity of the enzymes secondary to single
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13 nucleotide polymorphisms (SNPs), as well as environmental influences on induction or
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15 inhibition of these enzyme systems (Boddy and Ratain, 1997). Although considerable research
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has been performed examining the role of these SNPs on susceptibility to carcinogenesis, this
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20 has not proven to be as influential as initially suspected. Frequently, the influence on cancer risk
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22 is less than twofold between the various individuals, even though the metabolic activities
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between specific enzymes can vary much more. This relatively small effect on cancer induction
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27 probably reflects the numerous alternative pathways as well as competing pathways for
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activation/inactivation of the chemical in addition to the multistep nature of the carcinogenic
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process.
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One of the most extensively studied metabolic systems influencing activation and inactivation
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39 has been acetylation of aromatic amines (Hein, 2006). Individuals are generally classified as
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41 slow or fast acetylators, which is genetically determined. The specific isozymes and genetic
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variability have been extensively investigated. Aromatic amine acetylation dimorphism was
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46 actually the first of the differences identified which led to the development of the field which
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48 now is commonly referred to as molecular epidemiology (Lower and Bryan, 1973). In humans,
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with respect to bladder cancer, acetylation of the aromatic amines is actually a deactivation
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53 process. Thus, one can hypothesize that individuals who are fast acetylators should have a
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decreased risk of developing bladder cancer in response to exposure to aromatic amines, in
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3 contrast to slow acetylators. Acetylation rates also influence the metabolism of a variety of
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drugs, such as the anti-tuberculosis drug isoniazid, which can be clinically important. In several
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8 epidemiology studies investigating occupational exposure to chemicals and exposure to cigarette
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smoke, there is evidence that fast acetylators actually do have a decreased risk of developing
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13 bladder cancer compared to slow acetylators (Hein, 2006). However, it has been suggested that
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15 aromatic amines might also be related to the induction of colon cancer and even of breast cancer.
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In these instances, it appears that acetylation might actually be an activation step, so that fast
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20 acetylators would be expected to be at increased risk for developing these tumors (Shin et al.,
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22 2008). However, for all of these tumors, including the urinary bladder, the differences in
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susceptibility are relatively weak and have not been observed in all epidemiologic investigations
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27 examining this issue. Conflicting results have been reported for the examination of the influence
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of nearly all SNPs on the development of various cancers. However, this remains an active area
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of investigation and one involving a very complex interaction of variables. Not only is there the
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34 issue of competing metabolic systems for activation and inactivation of a given chemical, there
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are alternative pathways, variability in induction and inhibition of these enzymes due to
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39 environmental influences, as well as an interaction with numerous other chemicals that might be
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41 involved in the carcinogenic process for a given tissue in a given individual.
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46 DNA Repair
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48 The role of metabolic activation in carcinogenesis and the importance of DNA damage and
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mutation have led to additional avenues of research regarding mechanisms of carcinogenesis and
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53 influences on the carcinogenic process. The first of these is DNA repair (Hoeijmakers, 2009).
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Cells constantly deal with the formation of DNA adducts, either from endogenous or exogenous
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3 influences (Hoeijmakers, 1009; Greenfield et al., 1984; Phillips et al., 2000), including DNA
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damage that occurs secondary to radiation. The fact that cells do not either automatically die or
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8 evolve into cancers because of these adducts is largely due to the fact that there is a remarkable
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system of DNA repair processes that eliminate these specific alterations in DNA so that mutation
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13 does not always occur. In fact, nearly all DNA adducts and damage are repaired, with only the
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15 rare exception leading to the change in sequence and mutation (Figure 1).
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20 The importance of DNA repair in the carcinogenic process was also demonstrated utilizing what
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22 Dr. Robert Good (1968) referred to as experiments of nature, i.e., individuals born with specific
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mutations related to specific cellular processes. Cleaver (Cleaver et al., 1975) identified that
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27 individuals with xeroderma pigmentosum (XP) had a markedly increased rate of development of
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skin cancers in response to sun exposure. He was able to demonstrate that the specific enzymes
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involved in the various forms of XP were related to repair of the DNA damage that was induced
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34 by UV radiation, the major causative factor of skin cancer in humans. Individuals with XP,
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depending on the specific site of mutation, had varying degrees of inability to repair this DNA
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39 damage. Thus, they had varying degrees of susceptibility to damage by the ultraviolet radiation
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41 and varying susceptibilities to developing skin cancer. Some of these individuals were
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exquisitely sensitive to the UV radiation, and developed multiple skin cancers early in life unless
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46 they were completely protected from the UV radiation. For the development of cancer,
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48 ultimately DNA mutation must occur, because of these alterations in the DNA sequence, either
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due to single nucleotide changes or larger alterations in the chromosomes. Since these
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53 abnormalities each carry with them specific repair processes, polymorphisms in the enzymes
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3 involved can lead to differences in susceptibility, just as differences in susceptibility can be due
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to variations in metabolic activation and inactivation processes.
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Genotoxicity Assays
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13 The second major consequence of the observation that carcinogens were metabolically activated
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15 to bind to DNA leading to mutation was the development of a variety of genotoxicity assays,
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beginning with the Ames assay in various strains of Salmonella bacteria (McCann et al., 1975;
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20 Gee et al., 1994). Ames and his colleagues developed strains of Salmonella that were particularly
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22 susceptible to DNA damage, but more importantly they provided an exogenous source of
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metabolic activation systems by adding induced liver microsomes to the medium along with the
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27 test chemical and the test strain of bacteria. This addressed the issue of metabolic activation for
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many of the chemicals being analyzed, since the enzymes involved in such processes frequently
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are highest in the liver. This took advantage of the requirement for metabolic activation for most
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34 DNA reactive carcinogens. Utilizing the Ames assay, numerous investigators were able to show
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a strong correlation between positivity in this assay with a positive response in rodent bioassays
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39 for carcinogenesis. This led to the now infamous statement that carcinogens are mutagens and
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41 mutagens are carcinogens (Ames et al., 1973)..
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46 A plethora of genotoxicity assays have been developed during the past four decades which were
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48 designed not only as a means of identifying a mechanism by which a chemical can produce
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cancer, but also as a short term screening test for identifying chemical carcinogens (Kirkland et
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53 al., 2007). Although not a major focus of this discussion, besides the specific mutation assays
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such as the Ames assay, many of the other assays have proven extremely difficult to interpret,
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3 especially regarding their relevance for predicting carcinogenicity (Kirkland et al., 2007. Many
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have a predictive value for carcinogenesis less than 50%, less than a coin flip. This is because
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8 many of these assays are in vitro and involve considerable levels of cytotoxicity. They also
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involve indirect effects on DNA and chromosomes, rather than a direct interaction with DNA.
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13 Such indirect assays include assessments for sister chromatid exchange, chromosomal
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15 aberrations, and micronuclei. Furthermore, many of these in vitro assays cannot be verified in
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vivo. Several in vivo genotoxicity assays have also been developed, including specific point
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20 mutation assays involving specially designed mice and rats, such as the Big Blue rat, Big Blue
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22 mouse and Mutamouse (Lambert et al., 2005), as well as in vivo micronucleus assays, the Comet
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assay, and others. However, a more restrictive definition of genotoxicity is to limit the effects to
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27 DNA reactivity specifically. This would include chemicals that react directly with DNA or
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following metabolic activation to form DNA adducts (Phillips et al., 2000). Only those adducts
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that are mutagenic (not all adducts have mutagenic potential) will lead to mutation and have the
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34 potential to increase the incidence of cancer.
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39 Extensive computer analyses relating three dimensional chemical structure to DNA reactivity has
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41 resulted in a refined structure activity relationship (SAR) process (Tong et al., 2003). Several
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computerized models are now available for this analysis, which can relate not only correlation
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46 between chemical structure and metabolic activation to DNA reactivity, but also for a variety of
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48 other biological targets, such as specific cell receptors. However, for a correlation to
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carcinogenicity, the only significant correlation appears to be with identifying a chemical that
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53 can be directly or metabolically activated for DNA reactivity. For chemicals that induce cancer
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by mechanisms that do not involve DNA reactivity these models are of little value. However,
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3 such SAR models are of considerable value in screening new chemicals for commercial
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development, with the ability to exclude those that have the potential for DNA reactivity.
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8 Ultimately, the ability of a chemical to be DNA reactive can be demonstrated by an evaluation of
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DNA adduct formation either in vitro, or better, in vivo. Especially now that there are
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13 extraordinarily sensitive techniques available for assessing DNA adducts, this is considered the
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15 best and most definitive method for demonstrating DNA reactivity. Demonstrating DNA adduct
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formation in vivo in the target tissue is best since in vitro findings do not always translate to in
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20 vivo effects. Furthermore, possible reactive chemical substituents identified by SAR do not
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22 always relate to actual metabolic activation and DNA adduct formation in vivo. For example,
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although numerous aromatic amines can be metabolically activated to DNA reactive substances,
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27 there are numerous aromatic amines that are not metabolically activated and do not form DNA
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adducts. These include not only substances to which we are exposed exogenously, but substances
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that are generated endogenously through normal intermediary metabolism, such as kynurenine,
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34 anthranilic acid and other metabolites (Bryan, 1969; Seifried et al., 2006). 2-Naphthylamine is
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metabolically activated to a reactive electrophile and is mutagenic and carcinogenic. Its isomer,
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39 1-naphthylamine, is not metabolically activated and is neither mutagenic nor carcinogenic
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41 (Clayson and Cooper, 1970).
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46 DNA Reactive vs. Non-DNA Reactive
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48 Although these genotoxicity assays, specifically DNA reactivity assays, have been a major
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development in chemical carcinogenesis, both with respect to determination of mechanism and
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53 for screening new chemicals for potential genotoxic activity, it was already apparent at the time
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when many of these assays were being developed in the 1970's that there were a large number of
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3 chemicals that produced cancer in animal models (as well as in humans) that were not positive in
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any of these assays. These included such chemicals as phenobarbital (Whysner et al. 1996),
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8 saccharin (IARC, 1999a), as well as others. Weisburger and Williams (1981) were the first to
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publish an article stating that there were essentially two classes of chemical carcinogens,
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13 genotoxic and non-genotoxic. They referred to the non-genotoxic carcinogens as epigenetic.
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15 Refinement of this dichotomy is to separate chemicals on the basis of DNA reactivity. As
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discussed below, those chemicals increasing the risk of cancer that are not DNA reactive do so
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20 by increasing the number of DNA replications in the target cell population (increased cell
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22 proliferation). Distinction between classes of chemicals based on their ability to generate DNA
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reactivity is the basis for the classification of chemical carcinogens to this day and forms the
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27 basis for the distinction of potential risks to humans in regulatory decision making.
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32 Multistage Carcinogenesis
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34 A major focus of carcinogenesis research has been the issue of latency. A major basis for this
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delay in the development of cancer secondary to exposure to chemicals or other carcinogenic
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39 agents is that cancer is a multi-step process. The concept that cancer involves multiple steps was
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41 already being investigated as early as the 1930's, but it was not until the seminal publication of
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Berenblum and Shubik (1947) in 1947 that a model distinguishing steps in carcinogenesis was
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46 actually demonstrated. This model was referred to as initiation and promotion, and was later
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48 amended to include a third step, progression. In their model, Berenblum and Shubik showed that
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promotion actually involved clonal expansion of initiated cells to form benign lesions, with
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53 progression being the step needed to convert these benign lesions to malignancy.
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3 The two steps of the carcinogenic process, initiation and promotion, were shown to have distinct
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qualities (Berenblum and Shubik, 1947; Boutwell, 1964; Dragan et al., 1993). To begin with, it
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8 was shown that the sequence of administration was critical, so that the initiator had to be
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administered first followed by the promoter. Also, it was subsequently shown that initiation was
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13 an irreversible event, what we now realize to be a permanent alteration in the DNA, whereas
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15 promotion could be reversible, at least until the step of progression to a malignancy occurred.
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Even the benign tumors that were produced in the Berenblum and Shubik model, skin papillomas
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20 on the backs of mice, could revert to normal. Another characteristic of initiation was that the
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22 effect appeared to be additive. If a dose of the initiator was fractionated into multiple parts, but
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the cumulative amount administered remained the same, similar tumor incidences and numbers
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27 were induced. In contrast, the dose of the promoter was found not to be additive. There appeared
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to be a specific minimum fractional exposure that was required for promotion to occur, i.e., a
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threshold. These basic concepts have evolved into current perspectives on mechanism as well as
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34 regulatory decision making regarding chemicals.
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39 In reality, we now know that initiation (and progression) is essentially the process of producing
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41 irreversible DNA damage, and initiators are chemicals that are DNA reactive, either directly or
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following metabolic activation (Dragan et al., 1993). Promoters, in contrast, are non-DNA
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46 reactive chemicals, and as discussed below, produce their effect by increasing cell proliferation.
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48 Nearly all DNA reactive carcinogens produce toxicity when administered at high doses, which
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will lead to increased cell proliferation, a promoting effect. This has given rise to the term
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53 complete carcinogen. As described in detail below, the terms initiation, promotion and complete
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carcinogen become difficult to define except to classify chemicals as having the properties of
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3 DNA reactivity, increased cell proliferation or both. Also, DNA replication by itself can lead to a
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"spontaneous" alteration in the DNA, effectively acting to produce initiation.
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Although the model of initiation and promotion has served the carcinogenesis community well
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13 with respect to investigating the multi-step nature of carcinogenesis and the carcinogenic
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15 properties of chemicals, there actually are several difficulties with this model (Cohen and
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Ellwein, 1991; Cohen 1998b). To begin with, administration of the promoter prior to the initiator
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20 has been shown to actually increase the carcinogenic effect. Furthermore, initiation-promotion
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22 assays have traditionally been performed in short term experiments, usually twenty weeks or less
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in mouse skin studies, whereas evaluation of these chemicals, initiators and promoters, in a full
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27 two year bioassay, today's standard, showed they were carcinogenic in their own right.
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Furthermore, this model requires the presence of an intermediate clonal expansion of initiated
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cells for the development of the ultimate malignancy. Although in many animal models this
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34 occurs, such as mouse skin, rat liver, mouse and rat colon, mouse and rat lung, and mouse and rat
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urinary bladder, this is not always the case either in rodents or especially in humans. There are
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39 numerous malignancies in humans that occur without an intermediate benign lesion identifiable,
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41 such as certain leukemias, most sarcomas, small cell carcinoma of the lung and other tissues, and
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others. The malignant potential in these tumors appears to occur with the initial transformation of
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46 the cell without an intervening benign proliferation. As described below, a more generalizable
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48 multi-stage model can incorporate the concepts of the initiation-promotion model, but also
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includes other factors.
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3 A second multi-stage model was proposed by Armitage and Doll (1954) based on epidemiologic
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observations. They recognized that the incidence of many cancers increased exponentially with
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8 age. They derived an equation to address this observation and noted that by addressing the
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specific data for a given tumor, that the number of stages involved in the carcinogenic process
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13 could be identified (Figure 2). This formula fitted the data well for cancers of many organs, such
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15 as lung and urinary bladder. However, there are many examples for which this model does not fit
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(Figure 3). For example, in breast cancer there is a bimodal appearance in the curve for times of
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20 increasing incidence, the peri-menopausal time period and later in age (Moolgavkar and
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22 Knudson, 1981). Another example is Hodgkin's disease in the United States (Watanabe et al.,
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1986). Again, there is a bimodal distribution of increased incidences, one in the twenties and
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27 thirties and then again in later age. An even more striking example are testicular germ cell
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tumors in males, where there is a dramatic increase in incidence between ages twenty through
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forty, but these tumors rarely occur after the age of fifty (Kodama and Kodama, 1998). And, of
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34 course, there are the tumors that occur only or predominantly in childhood, such retinoblastoma
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(Knudson, 1971).
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41 In the approach developed by Armitage and Doll (1954), implicit assumptions are made that
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frequently are valid, but in specific instances are not. One of these assumptions is that the rate of
45
46 cell proliferation in a given tissue remains constant throughout lifetime, and another is that the
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48 number of target cells remains constant throughout the lifetime. Both of these variables can be
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50 51
influenced by normal growth and development and by exogenous factors. For example,
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53 osteosarcomas have peak incidences during the major growing period of humans, ages fifteen to
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3 twenty-five. This of course is when the bones are growing and osteoblasts are proliferating at a
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much greater rate and number than in the adult.
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A third multi-stage model was proposed by Knudson (1971) in a landmark 1971 publication
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13 describing the occurrence of retinoblastomas in children. Until Knudson's publication,
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15 retinoblastoma was frequently considered an autosomal dominant disorder since nearly all
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17 18
children that inherited the disorder developed tumors. However, he posed the question as to why
19
20 individuals who had inherited this disorder did not have all of their retinoblasts develop into
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22 tumors. Although individuals who had inherited retinoblastomas usually had bilateral disease and
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multiple tumors in each eye, it was still a limited number, with most of the retinoblasts in the
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27 children's eyes being morphologically normal, never becoming malignant. In contrast,
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individuals who had the sporadic disease usually had unilateral disease and usually only had one
31 32
tumor.
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Knudson (1971) postulated that the retinoblastoma gene acted as an autosomal recessive gene
38
39 and that individuals who had the inherited genetic abnormality actually had damage to one of the
40
41 alleles in all of their retinoblasts, whereas the other retinoblastoma allele that was inherited was
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43 44
normal. During normal growth and development, retinoblasts proliferate. In an occasional cell,
45
46 the second allele spontaneously developed an abnormality, leading to the development of the
47
48 malignancy. In contrast, in individuals developing retinoblastomas on a sporadic basis, a
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50 51
spontaneous error had to occur in both alleles during normal growth and development during cell
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53 replication of the retinoblast. Even though spontaneous errors in DNA are rare events during
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replication, the number of replications occurring normally during development provides
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3 sufficient opportunity for an allele to become abnormal. In an individual with one allele already
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abnormal, the child virtually always will develop an abnormality in the second allele at least
7
8 once, and usually in multiple such cells, leading to the development of multiple tumors.
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10 11
However, having two rare events occur in same cell during normal development would be an
12
13 extraordinarily rare event; approximately one individual per million births would be expected to
14
15 develop such an abnormality. This is roughly the incidence of retinoblastoma in the general
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17 18
population on a worldwide basis. The necessity for cell replication becomes obvious once the
19
20 eye fully develops and the retinoblasts stop replicating; tumor induction no longer occurs!
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22 Although for many cancers, more than two events are required, in contrast to retinoblastoma,
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24 25
nevertheless, the general principles identified by Knudson in his model readily address the
26
27 inadequacies of both the initiation-promotion model and the Armitage-Doll model.
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31 32
It is obvious that the retinoblastoma gene as depicted by Knudson foresaw the definition of a
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34 tumor suppressor gene. That is, under normal circumstances, when the gene is functional, it
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actually inhibits the formation of cancer. It is only with the development of an abnormality in
38
39 both alleles that this inhibition on cancer development is released and cancer occurs.
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41
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43
44
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46 In contrast to tumor suppressor genes are the oncogenes (Hahn et al., 1999; Knudson, 1993).
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48 These are a group of genes that appear to act in a dominant fashion, and when activated, either
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by a mutation or by other cellular processes, increase cell proliferation and produce cancers. In
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53 general, all tumor suppressor and oncogenes that have been identified are related in one way or
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another to cell proliferation or to the preservation of the DNA sequence, either directly or
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3 indirectly. A sequence of oncogene activation and tumor suppressor gene inactivation has been
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best defined for colonic adenocarcinoma by Vogelstein and others (Wood et al., 2007). These
7
8 models provide a molecular basis for the Knudson hypothesis more generally and for the model
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described below. However, in the colon model and in others, it remains difficult to define exactly
12
13 which genes are essential to the carcinogenic process and which ones modify the cell number
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15 and/or replication rate and/or mutation frequency.
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18
19
20 An incredibly astute series of observations published by Boveri (1914) in 1914, actually
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22 described the fundamental concepts of oncogenes, genes activating cancer, as well as tumor
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24 25
suppressor genes, genes inactivating cancer development. Keep in mind that this was at a time
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27 when chromosomes were first being identified as genetic material, and DNA had not yet been
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identified as the source of heredity, nor had modifications in DNA structure or sequence by
31 32
exogenous or endogenous factors been discovered. These seminal, astute observations were
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34 essentially ignored by the scientific community for several decades.
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36
37
38
39 In the early 1980's, a more generalized multi-stage model of carcinogenesis was developed by
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41 Moolgavkar and Knudson (1981) utilizing epidemiology data and by my laboratory (Greenfield
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43 44
et al, 1984). These models are based on a two-step process, but can easily be broadened to a
45
46 multi-step process, as it has become apparent that for most cancers more than two steps are
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48 involved (Figure 4).
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51
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53 Cell Proliferation and DNA Reactivity in Carcinogenesis
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3 The target cell population in a given tissue is assumed to be the pluripotential cells in that tissue
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(Moolgavkar and Knudson, 1981; Greenfield et al., 1984; Cohen and Ellwein, 1990a). Cells that
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8 have already committed to differentiation or are fully differentiated are not the targets for
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carcinogenesis, since they are ultimately destined to die. It is only the pluripotential cells (also
12
13 referred to as tissue stem cells) that have the potential to develop as malignancies. In contrast,
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15 many benign tumors actually arise from cells that are already committed to differentiation.
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18
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20 Under normal circumstances, when a pluripotential cell divides it produces another cell identical
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22 to itself, and another cell that is committed to differentiation, and ultimately undergoes terminal
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differentiation (Figure 4A). Committed cells and terminally differentiated cells are destined to
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27 die. Thus, inducing mistakes in the DNA of these cells will not produce a tumor that can evolve
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with all of the characteristics of a malignancy. Stem cells also can die, commonly killed by a
31 32
variety of processes including necrosis and apoptosis. If these cells die, the remaining daughter
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34 cells can divide to form two daughter stem cells to replace the lost cells, or stem cells can be
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36 37
directly stimulated to replicate into two daughter stem cells (direct mitogenesis) (Figure 4B). If
38
39 there is injury, this is the way tissues are repaired and how this population can be replenished.
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41 Direct mitogenesis will lead to an increase in the number of cells that are present as well as
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43 44
usually inducing replication at an increased rate.
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46
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48 During DNA replication in the pluripotential cells, whether under normal circumstances
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50 51
generating one daughter cell and a committed cell, or whether duplicating itself into two
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53 pluripotential cells, mistakes can occur in the DNA which are fixed permanently and inherited by
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the cells (Figure 4C). If the mistake occurs in the portion of a gene that is critical to the
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3 development of a given cancer for that tissue type, then the cell has taken a step toward the
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development of malignancy and enters into what we refer to as the intermediate cell population.
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8 This population can be clonally expanded, as described in the initiation-promotion model, but
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10 11
this does not have to occur.
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13
14
15 Cells in the intermediate population can undergo the same processes as normal cells, i.e., they
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17 18
can replicate yielding one of themselves and one committed cell with terminal differentiation, or
19
20 they can replicate yielding two identical daughter cells. Again, during DNA replication of these
21
22 intermediate pluripotential cells, mistakes can occur in the DNA. If the mistake is in the critical
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24 25
portion of a gene that is critical in the pathway to developing cancer in that tissue type, then that
26
27 step will progress further toward malignancy. If it is a two step process, then the second
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abnormality that occurs in this intermediate cell population will lead to a malignancy. If there are
31 32
more than two steps, there will be multiple intermediate cell populations that are required for the
33
34 ultimate development of malignancy.
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36
37
38
39 Once the final alteration occurs and malignancy develops, in contrast to what has long been held
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41 as true for malignancies, not all of these malignant cells will replicate and some of them can
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43 44
yield fully differentiated cells. This is the basis for tumors ranging from well-differentiated to
45
46 poorly-differentiated. In well-differentiated tumors, the sequence of pluripotential cell to
47
48 committed cells to fully differentiated cells is maintained, albeit at a slower rate than under
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normal circumstances so that a greater proportion of the cells in the tissue remain as the
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53 pluripotential cells rather than the fully differentiated cells. In contrast, poorly differentiated
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malignancies have few cells that progress in this direction, andmost remain in the pluripotential
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3 stem cell population. Even in these cells, the proliferation rate is not uniform, and only a
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relatively small proportion of the cells will replicate in any given day. There is only one tumor
7
8 that I am aware of that actually yields replication of nearly all of the pluripotential cells on a
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10 11
daily basis and that is Burkitt's lymphoma (Cooper et al., 1965).
12
13
14
15 Fundamental to this model is that the transitions from normal to intermediate to malignancy
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17 18
occur during DNA replication, each with a certain probability that is usually very low. It is a
19
20 stochastic process. The stochastic nature of carcinogenesis combined with the multiple DNA
21
22 abnormalities that are required form the basis for the latency period required between chemical
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24 25
exposure and cancer development.
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27
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29 30
Based on this sequence of events, there are fundamentally only two mechanisms by which a
31 32
chemical, or any other agent can increase the risk of cancer. Either the chemical can increase the
33
34 probability that at each replication of the pluripotential stem cell there will be a mistake in a
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36 37
critical gene, or the number of replications in this population can increase, or a combination of
38
39 these two events (Moolgavkar and Knudson, 1981; Greenfield et al., 1984; Cohen and Ellwein,
40
41 1990a). Chemicals that increase the probability of a genetic abnormality with each DNA
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43 44
replication are essentially those that are DNA reactive. Those that increase the amount of DNA
45
46 proliferation as the basis for increasing cancer risk are those classified as non-DNA reactive. For
47
48 nearly all DNA-reactive carcinogens, if the dose is high enough, there is also an increase in self-
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50 51
proliferation, usually due to regeneration following cytotoxicity.
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3 Increased cell proliferation can occur either by an increase in cell births or a decrease in cell
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deaths (Cohen, 1998b). A decrease in cell deaths will lead to an accumulation of cells. Even if
7
8 they are replicating at the normal rate, this still represents an increase in the number of cells that
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10 11
are replicating. This is a common mistake made in interpreting data on cell proliferation since
12
13 many investigators focus on cell rate rather than on the actual number of replications. For
14
15 example, with chemicals such as phenobarbital there is a transient increase in DNA replication
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17 18
rate in the liver, but this is accompanied by a growth in the liver with an increase in the number
19
20 of target hepatocytes (Whysner et al., 1996). Thus, for the remainder of the animal's time
21
22 exposed to phenobarbital, there actually is an increase in the number of cells replicating, but not
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24 25
the rate. Furthermore, it is critical that this proliferation occur in the stem cell population. An
26
27 increase in proliferation in those cells that are committed to differentiation or even fully
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29 30
differentiated, will not lead to an increase in cancer risk. This is another common difficulty in
31 32
interpreting cell proliferation data.
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34
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36 37
Synergy Between Cell Proliferation and DNA Reactivity
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39 A landmark study in carcinogenicity research is the ED01 mega-mouse experiment performed in
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41 the 1970's at the National Center for Toxicological Research. In this study, , 2-AAF was
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43 44
administered to female mice for up to thirty-three months, with group sizes sufficiently large to
45
46 detect an increased incidence of tumors of one percent, rather than the usual two year bioassay
47
48 which has a detection limit of approximately ten percent (SOT, 1981; Cohen and Ellwein,
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50 51
1990b). The doses used were substantially lower than those typically used in 2-AAF
52
53 experiments, ranging from a low dose of 30 ppm to a high dose of 150 ppm. At these doses there
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was approximately a linear dose response relationship for liver tumors, but for urinary bladder
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3 tumors there was an increased incidence of tumors only at doses of 60 ppm and above. However,
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studies of DNA adduct formation showed steady-state levels in both tissues that were linear with
7
8 dose, extending to doses much lower than those used in the carcinogenicity bioassay (Poirier et
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10 11
al., 1989). In the liver, the tumor effect was due only to the interaction of 2-AAF with the DNA
12
13 of the normal hepatocytes, with this interaction occurring much less frequently in the
14
15 intermediate cell population (foci cells) (Cohen and Ellwein, 1990b). There was no apparent
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17 18
increase in cell proliferation in either population compared to untreated controls. In contrast, at
19
20 low doses of 2-AAF, the effect of DNA reactivity on the bladder was insufficient to produce a
21
22 detectable incidence of tumors. Keep in mind that the normal mouse bladder only has
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24 25
approximately twenty-five thousand pluripotential cells, and therefore, only by increasing this
26
27 target cell population and their rate of replication, which occurred at the higher doses, was a
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29 30
detectable incidence of tumors observed.
31
32
33
34 This synergistic interaction between DNA reactivity and cell proliferation has been identified in
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36 37
several model systems and in humans. For example, FANFT is a bladder carcinogen in rats
38
39 similar to 2-AAF, with a detectable incidence in the two year bioassay occurring only at doses
40
41 that also increase cell proliferation (hyperplasia) (Murasaki and Cohen, 1983). At lower doses,
42
43 44
the DNA reactivity is still present but the effect does not produce a detectable incidence of
45
46 tumors. In contrast, sodium saccharin at very high doses is not DNA reactive, but increases cell
47
48 proliferation in the urinary bladder epithelium. In a standard two year bioassay, it increases
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50 51
tumor incidences by approximately one percent. When FANFT administered at a dose that
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53 produces DNA reactivity but does not increase cell proliferation or a detectable incidence of
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3 tumors, is co-administered with a dose of sodium saccharin that increases cell proliferation, a
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detectable incidence of tumors is identified.
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10 11
In humans, examples also have been identified. For example, the aromatic amine 4-
12
13 aminobiphenyl (4-ABP) is present in cigarette smoke and is excreted in the urine in forms that
14
15 lead to DNA adduct formation (Cohen et al., 2006). However, the amounts present in cigarette
16
17 18
smoke are at levels that would be expected to be insufficient to induce the incidence of bladder
19
20 tumors in humans that is actually observed. In addition to the DNA adduct formation, however,
21
22 there is also an increase in proliferation of the urothelium in cigarette smokers. The cause of this
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24 25
increased proliferation has not been identified, but would not be expected to be due to the 4-
26
27 ABP. However, this combination of increased mutagenic DNA adduct formation by 4-ABP and
28
29 30
increased cell proliferation leads to a significant incidence of bladder tumors, with cigarette
31 32
smoking being the major cause of bladder cancer in the United States.
33
34
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36 37
The interaction of multiple agents has also been identified in liver carcinogenesis involving
38
39 aflatoxin and hepatitis-B virus (HBV) (Chuang et al., 2009). In parts of China there is exposure
40
41 to high levels of aflatoxin, a DNA reactive carcinogen, but without HBV exposure. The
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43 44
estimated increase in risk of liver cancer is approximately two to three fold compared to
45
46 individuals not exposed to high levels of aflatoxin. In other parts of China, HBV is prevalent but
47
48 without high levels of aflatoxin exposure. In these circumstances, the estimated increased risk is
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50 51
approximately ten to twelve times. However, in populations where exposure to HBV is
52
53 combined with high levels of aflatoxin, an exposure that combines increased cell proliferation
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with DNA reactivity, there is approximately a sixty-five fold increase in liver cancer risk, again
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3 illustrating the synergistic response that occurs when DNA reactivity is combined with an
4
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increase in cell proliferation.
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Chemoprevention
12
13 To increase cancer risk, a chemical either increases DNA reactivity leading to an increase of
14
15 mutation with each DNA replication or increases the number of DNA replications in the target
16
17 18
cell population. To reduce cancer, the reverse of this must occur. Either the amount of DNA
19
20 reactivity must be decreased and/or the amount of DNA replication needs to be reduced (Cohen,
21
22 1991). This has been the basis for chemoprevention since the initial postulate by Wattenberg
23
24 25
(1985) created the concept of chemoprevention. This concept is based on the idea that
26
27 consumption of exogenous substances could actually prevent certain types of cancer, especially
28
29 30
those caused by chemicals. Research on chemoprevention in animal models and in human
31 32
clinical trials has continued extensively ever since. However, in all of these systems, the ultimate
33
34 effects are to reduce the formation of DNA adducts, either by interfering with the metabolic
35
36 37
activation, increasing metabolic deactivation, or binding to the reactive electrophile once it is
38
39 formed so that it cannot react with the DNA, or the effect reduces cell proliferation in the target
40
41 tissue. However, like carcinogenesis itself, the issue is much more complex than originally
42
43 44
imagined. Many of the examples of chemoprevention require doses that are in excess of what can
45
46 be safely consumed by humans. Furthermore, in some examples where substances were used for
47
48 chemoprevention, side effects of the agent actually led to an increase in cancer risk, as was seen
49
50 51
in the beta-carotene trials in cigarette smokers (Hannekens et al., 1996), or led to an increase in
52
53 side effects with other disease processes, such as the cyclooxygenase-2 (COX-2) inhibitors
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3 which had chemopreventive activity in animal models, but in humans have led to an increased
4
5 6
risk of significant cardiovascular events (Marnett, 2009; Wu et al., 2010).
7
8
9
10 11
There is epidemiologic evidence that certain exposures can reduce cancer risk, such as increased
12
13 consumption of fruits and vegetables, although this has been challenged more recently (Vistag,
14
15 2009). Caloric restriction was identified as a preventive process in animal models nearly seven
16
17 18
decades ago (Tannenbaum, 1940; Kritchevsky, 1999), and has been demonstrated to be related to
19
20 a reduced risk of certain cancers in humans (Lutz and Schlatter, 1992). In the tissues that are
21
22 affected, caloric restriction reduces cell proliferation (Lu et al., 1993), but also has numerous
23
24 25
other effects, such as effects on DNA repair, that could contribute to the inhibitory process (Hart
26
27 et al., 1995). Although chemoprevention in the clinical setting has thus far been disappointing,
28
29 30
this area of research continues.
31
32
33
34 Immunosuppression and Carcinogenesis
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36 37
In the late 1950's and early 1960's, several investigators made observations that suggested that
38
39 neoplastic cells developed foreign, specific antigens as they formed, and that malignancy
40
41 developed as a consequence of suppression of the normal immunosurveillance of foreign
42
43 44
antigens, allowing the malignant cell to escape surveillance and develop into a cancer (Burnet,
45
46 1957; 1964; Thomas, 1959; Klein and Klein, 1988; Kripke and Borsos, 1974; Schwartz, 1975;
47
48 Baldwin, 1973). Specific antigens were identified in mouse tumors that were related to certain
49
50 51
malignancies and were immunogenic upon transplantation (Kripke and Borsos, 1974; Klein and
52
53 Klein, 1988). Furthermore, many of the chemicals identified as carcinogens, such as polycyclic
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aromatic hydrocarbons, were shown to be immunosuppressive in the animal models (Baldwin,
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3 1973). Lastly, Good (1968) and his colleagues at the University of Minnesota observed that
4
5 6
children born with inherited immune deficiencies had an increased risk of developing cancer, and
7
8 others began to note that kidney transplant patients also had an increased risk of cancer while
9
10 11
they were on immunosuppressive drugs (Vajdic et al., 2006). More recently, with the advent of
12
13 other immunosuppressive agents and other organ transplants, this increased risk has been
14
15 corroborated, and also observed in treatment with these agents for a variety of neoplastic and
16
17 18
non-neoplastic disorders (Grulich et al., 2007). Additionally, acquired immunodeficiency disease
19
20 syndrome (AIDS) is associated with an increased risk of developing cancers (Grulich et al.,
21
22 2007). Kaposi's sarcoma was one of the original defining criteria for AIDS.
23
24
25
26
27 Although all of these pieces of evidence suggested that there was immunosurveillance of
28
29 30
neoplastic cells, in reality it turns out that the immunosurveillance is of infectious organisms, just
31 32
that some of these infections can produce cancer (Cohen et al., 1991; Cohen, 1999b; Schwartz,
33
34 1975). Thus, the tumors in immunosuppressed patients, whether inherited, secondary to
35
36 37
chemotherapy for transplantation, malignancy, or autoimmune diseases, or in AIDS, occur only
38
39 in certain tissues. These include B-cell lymphomas secondary to Epstein-Barr virus (EBV)
40
41 infections (or secondary to regeneration itself of the B-cell population), squamous cell tumors
42
43 44
secondary to human papilloma virus (HPV) or Kaposi's sarcoma secondary to human herpes
45
46 virus-8 (HHV8). There is some suggestion that there is an increased risk of liver cancer in
47
48 patients with hepatitis B or C virus infections, also. However, there is not an increased risk of the
49
50 51
more common tumors, such as cancer of the lung, colon, breast, or prostate, or other tumors
52
53 which do not have an infectious etiology.
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3 Furthermore, the antigenicity of the mouse tumors was due to the presence of viruses that were
4
5 6
used to induce the tumors or were activated in the tumorigenic process. Also, the doses necessary
7
8 to produce immunosuppression, such as with polycyclic aromatic hydrocarbons, were actually
9
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higher than the doses necessary to produce tumors.
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13
14
15 Based on the research over the past five decades, it is clear that the immunosurveillance is not of
16
17 18
the malignant cells themselves, but of the infections that can increase the risk of certain tumors.
19
20
21
22 Non-DNA Reactive Carcinogens
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In animal models, hormones and various treatments that affect the endocrine system frequently
26
27 lead to an increased risk of tumors in the target population. This includes tumors of the rat
28
29 30
thyroid, the rat testicular Leydig cells, and the endocrine cells of the stomach (which lead to
31 32
carcinoid tumors). However, the only endocrine-related tumors in animal models that appear to
33
34 be pertinent to humans are those associated with estrogen (Cohen, 2004). Estrogen is known to
35
36 37
increase the risk of breast cancer and endometrial cancer in humans, and there is some
38
39 suggestion that it also increases the risk of ovarian cancer. There is some evidence that estrogens
40
41 also increases the risk of hepatocellular carcinomas (Preston-Martin et al., 1990), although more
42
43 44
commonly the effect in humans is on the induction of hepatocellular adenomas, which are not
45
46 premalignant lesions. The effect of estrogen on these target tissues is to increase the number of
47
48 DNA replications in the target tissue pluripotential stem cell population (Preston-Martin et al.,
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50 51
1990), However, there is also evidence that estrogen can be metabolically activated to
52
53 metabolites that react with DNA leading to adducts which result in apurinic sites (Cavalieri et al.,
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2002). Whether the increase in cancer risk is due only to the increase in cell proliferation or due
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3 to a synergistic interaction between the DNA reactive and cell proliferative effects remains a
4
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source of intense investigation. Nevertheless, estrogenic activity must be considered a risk factor
7
8 for human cancer, at least of certain cell types.
9
10
11
12
13 As discussed above in detail, carcinogens can be classified as either DNA reactive or non-DNA
14
15 reactive, relying on increased cell proliferation. The metabolic activation of DNA reactive
16
17 18
carcinogens has been studied extensively and includes classes of compounds such as the
19
20 polycyclic aromatic hydrocarbons, aromatic amines, N-nitrosamines and related chemicals (such
21
22 as hydrazines and N-nitroso-amides), aflatoxin, and numerous others. In each of these instances,
23
24 25
exposures at high levels produce an increase in cell proliferation in the target tissue that greatly
26
27 accentuates and accelerates the process. However, at lower exposure levels the increase in
28
29 30
incidence of tumors is proportionately considerably lower, giving a strikingly non-linear dose
31 32
response, the so-called hockey stick dose response curve. Extrapolating estimate of risk in
33
34 humans for DNA reactive carcinogens has traditionally assumed a linear, non-threshold dose
35
36 37
response, based to a large degree on the radiation model of mutagenesis and carcinogenesis
38
39 (Calabrese, 2009) forming the basis for regulation of such chemicals. The shape of the dose
40
41 response for these chemicals, especially extending to low exposure levels, continues to be the
42
43 44
focus of considerable heated debate.
45
46
47
48 Based on extensive investigations over the last five decades, there have also been a large number
49
50 51
of chemicals that have been identified that increase the risk of cancer in animal models but are
52
53 not DNA reactive (Weisburger and Williams, 1981; Cohen, 2004). In each of these instances
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studied in detail, the carcinogenic effect is due to an increase in cell proliferation. This can either
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3 be by a direct mitogenic effect (involving hormones and/or growth factors) or can be due to
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toxicity and regeneration. Toxicity can be produced either by induction of necrosis or by an
7
8 increase in apoptosis in the target cell population. A decrease in cell deaths can occur by
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10 11
inhibiting apoptosis or by inhibiting differentiation. A combination of these effects can certainly
12
13 occur. However, in each of these instances the increase in cell proliferation represents a
14
15 preneoplastic step in the process which is essential for the ultimate development of tumors. In
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17 18
many instances, it is the actual toxicity that is of critical importance to human exposure whereas
19
20 the malignant consequence is either rare or the animal model of malignancy development is not
21
22 relevant to humans. Attention to the actual toxicity that is involved is more relevant to human
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risk. A few examples that illustrate specific points are described below.
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27
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Sodium saccharin was shown in the 1970's to increase bladder cancer in rats when administered
31 32
beginning at birth or earlier and continuing in the offspring generation for their lifetime (Cohen
33
34 et al., 2008). The effect was greater in male rats than female rats, and mice were unaffected.
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36 37
Administration to monkeys beginning at birth and continuing for up to twenty-four years also did
38
39 not increase cancer risk. Sodium saccharin in the rat leads to pronounced alterations in the
40
41 composition of the various normal urinary constituents, leading to the formation of calcium
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43 44
phosphate-containing precipitate. This precipitate is cytotoxic to the urothelium which leads to
45
46 regenerative proliferation and ultimately to the development of a low incidence of tumors. The
47
48 formation of this precipitate occurs more readily in male rats than in female rats predominantly
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50 51
because of the much higher level of protein in the male rat (2u-globulin). Mice do not develop
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53 the precipitate because of a much lower concentration of calcium and phosphate in the urine, and
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primates do not develop the precipitate because of the much lower density of constituents in the
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3 urine overall (osmolality of rodents is 1500-3000 mosmol, in contrast to humans below 400, and
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commonly below 250). Thus, the mechanism involved, calcium phosphate-containing precipitate
7
8 is not relevant to humans (Cohen, 1999a; IARC, 1999b). A similar precipitate occurs with the
9
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administration to rats of high doses of the sodium salt of any moderate to strong acid. Thus,
12
13 calcium phosphate-containing precipitate and bladder tumors are induced following
14
15 administration of comparably high doses of sodium ascorbate, chloride, bicarbonate, glutamate,
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17 18
and other sodium salts (Cohen et al., 2000).
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20
21
22 A related phenomenon has been identified in response to numerous chemicals leading to the
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24 25
production of urinary solids. One of these, melamine, leads to urinary calculi when administered
26
27 to rats (IARC, 1999a; 1999b; Meek et al., 2003). If the dose is insufficient to produce the calculi,
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29 30
there is no increase in proliferation or tumor formation. Thus, it is a high dose phenomenon only,
31 32
dependent on the physical property of solubility of the chemical. It was postulated that if humans
33
34 were exposed environmentally to levels substantially lower than required for calculus formation,
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36 37
they would not have a tumorigenic response to melamine. However, in a recent unfortunate
38
39 episode in China where baby formula was specifically adulterated with extraordinarily high
40
41 levels of melamine, these children developed urinary calculi similar to what is seen in the rat,
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43 44
with urinary obstruction, hydronephrosis, and renal injury (Meek et al., 2003; Guan et al., 2009).
45
46 Whether or not this would also lead to an increase of tumor risk can be argued, based on the
47
48 transient exposure of humans to these calculi. However, the reality is that the toxic effect,
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calculi, was similar between the rat and the human, and actually at relatively comparable
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53 exposure levels. These calculi were composed predominantly of melamine with variable amounts
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3 of uric acid also present. Thus, in this instance, the risk assessment for humans involves an
4
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evaluation of the dose response and identification of a threshold.
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10 11
High doses of d-limonene produce an increased risk of renal tubular tumors in male rats (IARC
12
13 Working Group, 1999b; Hard and Whysner, 1994). The d-limonene is metabolized to an epoxide
14
15 which binds to a protein, 2u-globulin, which is absorbed into the proximal tubular cells after
16
17 18
passing through the glomerulus. In its bound form, the 2u-globulin-d-limonene epoxide cannot
19
20 be readily degraded so that there is an accumulation in lysosomes and ultimately an increase in
21
22 cell death and consequent regeneration leading to tumors. This does not occur in female rats
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24 25
since they do not have substantial amounts of 2u-globulin present. It also does not occur in mice,
26
27 which have an analogous protein referred to as mouse urinary protein (MUP), but the epoxide
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29 30
does not bind to this protein and it does not lead to renal tubular cytotoxicity and regeneration.
31
32 Humans do not have a protein that is comparable to 2u-globulin to which the epoxide can bind.
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34 Thus, humans are not at risk for developing tumors in response to this mode of action.
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37
38
39 These three chemicals all act by increasing cytotoxicity and regeneration. In contrast, there are
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41 numerous chemicals that have been identified in rats that produce a direct mitogenic effect such
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43 44
as increasing thyroid stimulating hormone (TSH) by one means or another (IARC Working
45
46 Group, 1999b; Capen, 1998; Hill et al., 1989). This leads to a direct mitogenic stimulus of the rat
47
48 thyroid follicular cells and ultimately the development of benign and malignant tumors.
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50 51
Although humans have a similar feedback mechanism involving circulating thyroid hormones
52
53 and TSH, the quantitative aspects are quite different. Humans have a circulating thyroid binding
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globulin so that thyroid hormone is readily available if a stimulus occurs that leads to a decrease
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3 in circulating thyroid. In contrast, the rat does not have the circulating, readily available thyroid
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hormone, so its response is to increase TSH to stimulate the thyroid to produce more hormone by
7
8 the follicular cells. Furthermore, the response to a hypothyroid stimulus in rats is to produce
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TSH, stimulating proliferation of follicular cells, leading to tumors. In contrast, hypothyroidism
12
13 in humans leads to an increase in TSH, but this does not lead to an increase follicular cell
14
15 proliferation. It has been concluded that this mode of action in rats is not relevant to humans,
16
17 18
based predominantly on a quantitative assessment of the process, but also involving some
19
20 qualitative issues. Again, the tumors arise from a process that leads to cell proliferation, and this
21
22 process occurs early in the overall carcinogenicity of these chemicals. Epidemiologic
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24 25
investigations have not shown increased thyroid cancer associated with hypothyroidism nor has
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27 it been shown to be related to chemical exposure, only radiation. Many chemicals have been
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29 30
shown to be toxic to the thyroid in animal models and in humans, but not thyroid carcinogens in
31 32
humans.
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34
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36 37
Chloroform produces liver and renal tumors in rats and mice (Meek et al., 2003; Andersen et al.,
38
39 1998). The mechanism involves metabolism to phosgene which induces cytotoxicity and
40
41 ultimately regenerative proliferation in both liver and kidney. Chloroform does not produce
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43 44
DNA reactivity, similar to all of the other chemicals that have just been described regarding
45
46 increased cell proliferation. It is thus clear that chloroform is carcinogenic only when the
47
48 exposure is sufficiently high to produce cytotoxicity.
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51
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53 In humans, chloroform was once used as an anesthetic, and based on observations at those high
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levels of exposure it was readily apparent that chloroform could produce hepatocellular toxicity
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3 as well as nephrotoxicity in humans. However, the effect was transient, disappearing once the
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anesthetic had been removed and the patient had the chance to recover from the toxicity.
7
8 Whether such a high exposure level would produce tumors in humans in the liver and kidney is
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10 11
unknown, but the reality is that exposure to this chemical would not continue for a sustained
12
13 period of time at high levels because of such toxicity. Since prolonged exposure appears to be
14
15 required for carcinogenicity by these non-DNA reactive carcinogens, it is unlikely that
16
17 18
chloroform would pose a carcinogenic hazard even with short-term high-dose exposures, similar
19
20 to the melamine story with calculi in infants. However, humans are also exposed to chloroform
21
22 in chlorinated drinking water. The exposure in the drinking water is well below that which is
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24 25
anticipated to produce hepatocellular toxicity or nephrotoxicity and thus does not pose a
26
27 carcinogenic hazard to humans. The actual toxicity assessment for chloroform is based on its
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cytotoxicity effects on the liver and kidney, not on the carcinogenicity, which is essentially a
31 32
bystander effect resulting from the cytotoxicity.
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34
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There are numerous other examples that have been identified of carcinogenesis by non-DNA
38
39 reactive substances and in many instances the mode of action has been identified. These include
40
41 the cytochrome P450 inducers, which appear to involve interaction with constitutive androstane
42
43 44
receptor (CAR), which produce hepatocellular and thyroid tumors in rats and liver tumors in
45
46 mice (Ross et al., 2009). Although humans have a similar receptor, activation of this receptor
47
48 appears to lead to an increase in hepatocellular proliferation in rodents whereas in human cells
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50 51
this proliferative effect does not occur. A similar situation occurs with PPAR agonists (Klaunig
52
53 et al., 2003; Yang et al., 2008; Gonzalez and Shah, 2008). Again, humans have a similar
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3 receptor, but increased cell proliferation is produced in rodents secondary to activation of the
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receptor whereas that does not happen in humans.
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8
9
10 11
Many non-DNA reactive carcinogens have a mode of action involving interaction with specific
12
13 cellular receptors, including nuclear receptors. This interaction with specific receptors, whether
14
15 growth factor receptors or nuclear receptors, ultimately leads to increased cell proliferation.
16
17 18
Examples include the CAR, PPAR estrogen receptors, and numerous others. It has become
19
20 apparent, however, that just identifying an interaction with a specific receptor does not define the
21
22 relevance of rodent carcinogenesis to humans. Effects of activation of the receptor on down-
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24 25
stream consequences can vary considerably between species, as well as species differences in co-
26
27 activators and co-repressors. For example, certain chemicals interact with CAR or PPAR
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29 30
receptors in rodents and humans, with similar metabolic consequences, such as activation of
31 32
cytochrome P450s or peroxisomal enzymes, respectively. However, in rodents there is also a
33
34 proliferative response leading to cancer induction,but this does not occur in humans and
35
36 37
consequently those chemicals are unlikely to be human carcinogens (Ross et al., 2009; Klaunig
38
39 et al., 2003; Gonzalez and Shah, 2008).
40
41
42
43 44
In each of these instances, and in many more, it is clear that the tumors arise secondary to some
45
46 early occurring toxic event. By examining the mechanisms involved in the early event, rather
47
48 than having to rely on a two year bioassay, considerable progress can be made more quickly in
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50 51
delineating the actual mechanisms involved with possible carcinogenesis.
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Mode of Action and Human Relevance
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3 During the past fifteen years, regulatory agencies around the world have been evolving a
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5 6
framework to incorporate scientific understanding of the carcinogenic process into regulatory
7
8 decision making. This has led to an evolving framework, starting with a process for evaluation of
9
10 11
mode of action in animal models and then an assessment of its relevance to humans (Sonich-
12
13 Mullin et al., 2001; Meek et al., 2003; Seed et al., 2005; Boobis et al., 2006; 2008). Activities to
14
15 further develop this framework are continuing by incorporating various aspects of dose response,
16
17 18
exposure, cumulative risk, and other aspects involved in overall risk assessment. The important
19
20 part of this process is the definition of mode of action for a given chemical in contrast to what is
21
22 referred to as mechanism of action. A mode of action is a more generalized phenomenon without
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24 25
understanding the more detailed molecular events, which is referred to as the mechanism of
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27 action.
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31 32
The mode of action for animal models is assessed utilizing a modification of the Bradford Hill
33
34 (1965) criteria originally developed for use in assessing causation in epidemiology
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36 37
investigations. This includes issues such as temporality, dose response, biologic plausibility,
38
39 reproducibility of the data, and cohesiveness of the data. Once a mode of action is delineated in
40
41 the animal model, there are then qualitative and quantitative assessments of this mode of action
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43 44
in humans. Frequently, there is no chemical specific data available to assess this in humans, so
45
46 surrogate systems need to be assessed. This can include in vitro models utilizing human cells and
47
48 in vivo models utilizing so-called humanized tissues. These, unfortunately are not definitive, but
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50 51
provide considerable evidence that can be taken into account in an overall weight of evidence
52
53 evaluation for a chemical. However, there is frequently information in humans that is highly
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relevant to the overall mode of action, even if chemical specific data are not available. This can
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3 take into account, for example, genetic abnormalities, such as inherited immunosuppressive
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disorders, as well as basic biochemical and physiological processes, such as thyroid hormone
7
8 homeostasis and thyroid follicular proliferation in response to stimuli that are known to produce
9
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hypothyroidism. Epidemiologic findings, not only of the chemical, but also of various
12
13 physiologic or metabolic dysfunctions like hypothyroidism, can provide valuable information.
14
15
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17 18
Once the mode of action has been assessed, a qualitative assessment is then made based on the
19
20 question: Can human relevance of the mode of action be reasonably excluded on the basis of
21
22 fundamental, qualitative differences in key events between experimental animals and humans? A
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24 25
concordance table comparing the effects of the key events in the animal model to the human
26
27 situation is of considerable usefulness in this exercise. If the key events of the mode of action
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29 30
that are required for the animal model cannot occur in the human situation, such as formation of
31 32
calcium phosphate-containing precipitate with sodium salts or an epoxide metabolite of d-
33
34 limonene binding with 2u-globulin, then the mode of action is not relevant to the human
35
36 37
qualitatively and no cancer risk will occur. However, if the mode of action is relevant to humans
38
39 qualitatively, then a quantitative assessment must be made. This incorporates differences in
40
41 homeostatic control mechanisms, such as for thyroid carcinogenesis in the rat. Again, if the key
42
43 44
events in the mode of action are not quantitatively relevant to humans, then there is no cancer
45
46 risk for that chemical. After this analysis is completed, the data gaps, uncertainties, confidence in
47
48 the analysis, and implication for the overall risk assessment are considered. Even if the mode of
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50 51
action for a given chemical is relevant to humans, the information gathered in the process of this
52
53 evaluation can then be used in an overall risk assessment, including dose response, mode of
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action, and modulating effects on the overall response.
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6 Carcinogenicity Testing
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8 As illustrated at the beginning of this article, many of the known human carcinogens have been
9
10 11
identified by astute observations of clinical and occupational settings as well as occasionally by
12
13 detailed epidemiologic evaluations. However, we would rather be able to identify which
14
15 chemicals would be likely to increase our risk of cancer before such exposure occurs and prevent
16
17 18
or reduce the exposure. Numerous methods have been developed to evaluate the potential
19
20 carcinogenic risk to humans. The standard that has been used for more than four decades has
21
22 been the two year bioassay in rats and mice. This evolved at the National Cancer Institute and
23
24 25
then ultimately at the National Toxicology Program in the United States. This has formed the
26
27 basis for screening of chemicals in the chemical, agrichemical and pharmaceutical industries as
28
29 30
well as more generally. However, this is a long, expensive, and resource intensive exercise,and is
31 32
also fraught with sources of controversy regarding relevance of the mode of action to humans or
33
34 the dose used in the study compared to human exposure. In addition, concordance of positivity in
35
36 37
rats compared to mice is only 70-75% (Haseman and Huff, 1987) with target organ concordance
38
39 even less (Maronpot et al., 2004). Because of the high background incidences of certain tumors,
40
41 such as liver, lung, vascular tumors, and lymphomas, in various mouse strains, along with other
42
43 44
factors has led many to recommend not using the mouse for carcinogenicity testing (Alden et al.,
45
46 1996; Doe et al., 2006). Short term screens for chemical carcinogens have been sought to try to
47
48 replace the two year bioassay. The first successful step in this process was the identification of
49
50 51
the DNA reactivity of chemicals and the development of genotoxicity assays, particularly the
52
53 Ames assay. This is widely used for screening of chemicals in combination with structure
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3 activity relationship considerations. However, as discussed above, this is useful only for
4
5 6
detecting potential DNA reactive carcinogens, and there are limitations to that as well.
7
8
9
10 11
A modification of the rodent bioassay has been developed over the last two decades utilizing
12
13 transgenic and knockout mice (Cohen et al., 2001). The ones that have been specifically
14
15 evaluated for carcinogenicity screening include the p53 heterozygous knockout, the dual
16
17 18
XPA/p53 knockout mouse, the rasH2 transgenic mouse and the Tg.AC transgenic mouse for
19
20 evaluation of dermal exposure (Pritchard et al., 2002). Although some of these continue to be
21
22 utilized for screening purposes, the difficulty arises when there is a positive tumor finding as the
23
24 25
mode of action is frequently unknown. Because of interpretation difficulties and sensitivity to
26
27 irritation effects, the Tg.AC model has been essentially abandoned. The XPA/p53 model has also
28
29 30
been abandoned since the observed effects appeared to be the same as those obtained with the
31 32
p53 mouse. Of the remaining two models, the rasH2 seems to have gained more favor for general
33
34 screening whereas the p53 mouse model is used, somewhat erroneously, to assess genotoxicity.
35
36 37
A major advance in utilizing these models is the considerably shorter period of time and
38
39 decreased resources necessary to use them, but they have the same drawbacks as the two year
40
41 bioassay in that they provide no information by themselves regarding mode of action or
42
43 44
relevance to humans. This can only be gained by a shorter term assessment of specific key events
45
46 that are likely to occur in a postulated mode of action.
47
48
49
50 51
Other test systems have been developed to try to identify the chemicals acting to increase
52
53 carcinogenic risk by non-DNA reactive processes. This has included in vitro inhibition of gap
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junction communication (Ruch and Trosko, 2001) as well as specific in vivo assays that utilize a
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3 combination of DNA reactive and proliferative stimuli, such as the Ito medium term assay (Ito et
4
5 6
al., 2003). However, all these models have significant limitations in addressing the ultimate
7
8 concern, human carcinogenic risk.
9
10
11
12
13 Based on the multi-stage model of carcinogenesis described above, and the framework for mode
14
15 of action and human relevance evaluation, another system has recently been proposed that
16
17 18
utilizes shorter-term exposure, assessing specifically the considerations for DNA reactivity, cell
19
20 proliferation, estrogenicity, and immunosuppression (Cohen, 2004; 2010). Utilizing specific
21
22 markers for various tissues, an initial screen for potential carcinogenicity in the rodent can be
23
24 25
effective, with an extremely low likelihood of false negatives. Most importantly, utilizing mode
26
27 of action analysis, short-term evaluations of detailed considerations of the mode of action and
28
29 30
dose response, one can assess the overall human relevance of the mode of action and the likely
31 32
exposure considerations for humans. A difficulty with this process is the high number of false
33
34 positives that need to be evaluated in detail regarding mode of action. However, the data that is
35
36 37
generated is directly applicable to evaluation of human risk.
38
39
40
41 With the explosion of genomics into biologic research it has become a focal point for
42
43 44
considerable investigation to utilize such systems for screening for chemical carcinogenicity and
45
46 other toxins end points (Nie et al., 2006; Ellinger-Ziegelbauer et al., 2008; Thomas et al., 2007;
47
48 Rotroff et al., 2010). Initial results are encouraging regarding DNA reactive chemicals and for
49
50 51
identifying specific modes of action for known non-DNA reactive carcinogens. It remains
52
53 unclear whether it provides a useful screening method in general, especially in detecting
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chemicals that might act by a mode of action not yet identified. A major drawback of these
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3 approaches is the ultimate need to examine by genomic screening a very large number of tissues.
4
5 6
Most of the work done to date has involved the liver. In contrast to rodents, where liver is the
7
8 most common target site for carcinogenicity of chemicals, liver cancer in humans is generally
9
10 11
not related to chemical exposure except in unusual instances such as aflatoxin and ethanol. Based
12
13 on previous screening methodologies, it is very likely that screening of the liver will be useful in
14
15 detecting rodent liver carcinogens, but probably will not be of much use in detecting carcinogens
16
17 18
active at other target sites. It still leaves the question of human relevance.
19
20
21
22 Transgenic and knockout models have generally not been widely used for screening purposes,
23
24 25
and mode of action analysis if a positive is detected in these assays is a difficult exercise.
26
27 However, specific, targeted knockout and transgenic models can be extremely useful in
28
29 30
evaluating specific modes of action. For example, CYP2E1 is essential for the oxidative
31 32
metabolism of chloroform to phosgene (Meek et al., 2003; Andersen et al., 1998). Mice
33
34 specifically knocked out for this gene are unable to oxidatively metabolise chloroform and do not
35
36 37
develop liver or kidney toxicity, prerequisites for the ultimate development of tumors. Similarly,
38
39 in vitro models as well as humanized mouse and rat models can be of considerable usefulness in
40
41 evaluating specific modes of action for a given chemical (Yang et al., 2008). However, as
42
43 44
described above, all of these have limitations. It is critical that all of the information available be
45
46 incorporated into any assessment of the mode of action and its relevance to humans, as well as
47
48 the dose response.
49
50
51
52
53 For toxicology testing, including testing for carcinogenicity, practical considerations need to be
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incorporated . Several suggestions have been made to begin modifying regulatory decision
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3 making so that the tens of thousands of chemicals in commerce and in the environment can be
4
5 6
addressed. For chemicals that we are exposed to at very low amounts, the toxicological
7
8 threshold of concern approach is being used in certain circumstances, such as for flavors and
9
10 11
food and drug contaminants (Munro et al., 1996). Modifications to the testing of agrichemicals
12
13 have been recommended and are being assessed (Carmichael et al., 2006; Doe et al., 2006).
14
15 Other approaches for specific classes of chemicals are being evaluated. Numerous high
16
17 18
throughput approaches have been developed as potential screening tools for the many thousands
19
20 of chemicals that need to be evaluated, such as the TOXCAST project of the EPA (Kavlok and
21
22 Dix et al., 2010).
23
24
25
26
27 A recent publication of the National Research Council, Toxicity Testing in the 21st Century: A
28
29 30
Vision and a Strategy, was published in 2007 (NRC, 2007) which describes a vision for toxicity
31 32
testing in the future. This is based on a biological systems approach to perturbations of the
33
34 complex interactive pathways controlling cellular functions and utilizing in vitro cellular model
35
36 37
systems, ultimately utilizing human cells for an analysis of potential adverse reactions in
38
39 humans.
40
41
42
43 44
Although the vision of the NRC report is laudable and worthwhile pursuing, we are far from
45
46 being able to implement it at this time. We do not have available appropriate cell lines that
47
48 appropriately mimic the response in vivo, all of the metabolic activation and inactivation
49
50 51
processes are not preserved in vitro, and current in vitro approaches are incapable of addressing
52
53 the common occurrence of organ interactions that are involved in many toxic endpoints.
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Quantitative extrapolation from in vitro to in vivo is even more precarious without first examing
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3 toxicokinetics in vivo. In addition, we do not yet know the intricacies of the various pathways as
4
5 6
they pertain to modulating effects and distinguishing between adaptive and adverse. Fortunately,
7
8 there are many talented scientists investigating these issues and progress is being made. The
9
10 11
danger is adopting some of these screening tests before we adequately understand their relevance
12
13 and implications. As has been suggested (MacDonald and Robertson, 2009), it is important to
14
15 focus on appropriate testing based on sound science rather than accepting a test as real, just
16
17 18
another example of an Ames test approach. It is particularly easy to be seduced by the
19
20 spectacular technologies now available, losing sight of the basic biology. It is particularly
21
22 critical as we go forward to focus on the ultimate question, is it toxic to humans, animals, or the
23
24 25
environment, and if so, at what exposure level. Toxicology began with the simple premise that
26
27 all substances are poisons, but the dose makes the poison (Paracelsus, see Gallo, 2001). The
28
29 30
technologies are tools to address the science.
31
32
33
34 Conclusion
35
36 37
We have come a long way since Sir Percival Pott identified the association of scrotal cancer in
38
39 chimney sweeps, but the major questions that he raised still require continued investigation with
40
41 the development of better methods. The focus needs to be on the ultimate question of relevance
42
43 44
to human risk rather than accepting findings in model systems as sacrosanct. The issues of dose
45
46 response, linearity, threshold, and exposure, in addition to the human relevance issue remain at
47
48 the heart of our concerns. We need to remember that approximately one-fourth to one-third of
49
50 51
individuals in the United States will develop cancer some time in their lifetime. Eliminating
52
53 causes is essential for decreasing risk. However, even identifying the causes does not guarantee
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3 that we are able to implement preventive measures, as can be all too readily seen with cigarette
4
5 6
smoking, obesity and sexually transmitted diseases.
7
8
9
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mechanistic data and risk assessment: enzyme induction, enhanced cell proliferation, and
19 tumor promotion. Pharmacol. Ther. 71, 153-191.
20 Wu, W. K., Sung J. J., Lee, C. W., Yu, J., and Cho, C. H. (2010). Cyclooxygenase-2 in
21 tumorigenesis of gastrointestinal cancers: an update on the molecular mechanisms. Cancer
22 Lett. 295, 7-16.
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Yamagiwa K., and Ichikawa, K. (1915). Experimentelle studie ber die pathogenese der Epithelialgeschwlste. Mitt. Med. Fak. Kaiserl Univ. Tokio. 15, 295-344.
26 Yang, Q., Nagano, T., Shah, Y., Cheung, C., Ito, S., and Gonzalez, F. J. (2008). The PPAR
27 alpha-humanized mouse: a model to investigate species differences in liver toxicity mediated
28 by PPAR alpha. Toxicol. Sci. 101, 132-139.
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Yoshida, T. (1933). ber die serienweise Verfolgung der Vernderungen der Leber der experimentellen Hepatomerzeugung durch o-aminoazotuol. Trans. Jpn. Path. Soc. 23, 636-638.
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3 Figure 1. Competing activating and inactivating processes for DNA reactive carcinogens. In
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addition, these must occur in a pluripotential (tissue stem) cell and the cell must replicate to fix
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8 the DNA alteration produced by a DNA adduct as a permanent mutation.
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13 Figure 2. Formula derived by Armitage and Doll (1954) to describe the exponential increase in
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15 incidences of tumors with age. I(t) = incidence at time t; N = number of normal stem cells; =
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rate of transition between stages; n = number of stages. N and are assumed to be constant and
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20 cell proliferation rates are also assumed to be constant.
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Figure 3. Incidence curves for various types of tumors relative to age. The Armitage-Doll model
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27 predicts an exponential increase of tumor incidence with age, such as seen for cancers of the
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colon, prostate, urinary bladder, lung and others. However, Hodgkin's disease has one major
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increase during the second to fourth decades of life in the United States, with another increase
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34 later in life. Testicular germ cell tumors have peak incidences during adulthood from the third to
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fifth decades, being rare after age 50. Childhood tumors, such as retinoblastoma, occur virtually
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39 exclusively in childhood. The curves are drawn to represent variations in shape, and are not
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41 drawn to scale with respect to each other.
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46 Figure 4. Cellular processes of differentiation and carcinogenesis. A. Tissues under normal
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conditions are composed of pluripotential stem cells (SN) which divide into a duplicate stem cell
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and a cell committed to differentiation (CN). Committed cells may undergo cell replication
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53 and/or undergo terminal differentiation (DN), depending on the specific tissue. Terminally
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differentiated cells are destined to die (downward arrow) and be replaced. Stem cells and
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3 committed cells can also die (downward arrows). B. Under special circumstances, such as direct
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mitogenesis or cell death with replacement, the stem cells divide into two stem cells rather than
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8 one stem cell and one committed cell. C. Every time a normal stem cell (SN) replicates, a mistake
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can occur in a critical part of a gene essential for converting the cell ultimately into a malignant
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13 cell. The rate of a mistake occurring is indicated as the probability P1. This converts the normal
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15 stem cell into a stem cell in an intermediate population between normal and malignancy. The
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intermediate stem cell (SI) can undergo the same replication and differentiation processes as the
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20 normal stem cells, forming committed (CI) and differentiated (DI) cells in the intermediate cell
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22 population. As the intermediate stem cells replicate, they also can produce errors in the DNA, at
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probability P2, leading to the next step in the carcinogenic process. If two steps are required, this
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27 second error produces a malignant stem cell (SM), which also can duplicate itself or undergo
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commitment (CM) to differentiation (DM). If more than two steps are required, there will be
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additional intermediate cell populations. Chemicals can increase the risk of carcinogenesis by
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34 affecting the probability of mistakes with each DNA replication (increasing P1 or P2), which
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represents a DNA reactive process (DNA reactive carcinogens), or it can increase the number of
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39 DNA replications in the normal and/or intermediate stem cell populations. Since the critical
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41 parameter is number of DNA replications, this can be increased by increasing the number of cells
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in these stem cell populations and/or increasing their rate of replication. (Part C is modified from
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46 Greenfield et al., 1984, with permission.)
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