Invited lectures II-25 PREDICTIVE TOXICOGENOMICS FOR CANCER RISK ASSESSMENT NAPOVEDNA TOKSIKOGENOMIKA IN OCENA TVEGANJA ZA NASTANEK RAKA Joost H. M. van Delft, Jos C.S. Kleinjans Abstract Every organism, and therefore also humans, is the product of its genes in combination with its environment. The activity of genes is strictly regulated and is continuously liable to changes. The response of an organism to changes in its environment, such as the exposure to a toxic substance, leads to altered gene expressions. Analysing modified gene expression profiles as a result of exposure to chemical substances, can therefore aid to determine the hazardous properties of those substances, such as on carcinogenic capacity. This toxicoge-nomics approach also provides the possibility to drastically reduce the traditional animal tests. Key words risk assessment; cancer; toxicogenomics Izvleček Vsak organizem, tudi človeški, je produkt delovanja lastnih genov v kombinaciji z dejavni- ki okolja. Aktivnost genov je strogo uravnavana in nenehno podvržena spremembam. Organizem se na spremembe v svojem okolju, na primer na izpostavljenost toksičnim snovem, odzove s spremembami v izražanju genov. Z analizo sprememb v izražanju genov, ki so posledica izpostavljenosti kemičnim snovem, lahko določamo škodljive učinke teh snovi, kot je npr. stopnja kancerogenosti. S takim toksikogenomskim pristopom lahko bistveno zmanjšamo uporabo tradicionalnih testov na živalih. Ključne besede ocena tveganja; rak; toksikogenomika The central dogma in molecular biology is that DNA and as a result of that, becomes a regulator of tranencodes for RNA (transcription), RNA encode for pro- scription and raises the activity of a many genes teins (translation), and these proteins are the construc- drastically, thereby eventually leading to the devel-tion tools and engines in the cell by which all pro- opment of cancer.1–3 cesses are regulated and carried out. Most proteins In the last decade, methods have become available, are enzymes which have a catalytic function in cell, which enable to simultaneously analyse the activity whereby substances are converted – metabolised – of all genes, or the quantities of all proteins or of all into another substance. This may also imply that an- cellular metabolites. For measuring the expression of other protein is modified, for example because a phos- all genes, DNA microarrays have been developed, phate group is coupled to it, as a result of which this which eventually results in genome-wide gene expres-protein becomes active or inactive. sion profiles. Changes in these gene expression proControlling the activity of genes, and with that of files reflect modifications in the activities of all genes.4, proteins such as enzymes and therefore also the me- 5 For proteins and metabolites other methods have tabolites which reside in cell, is very complex and been developed, but these will not be discussed here. takes place at several levels: 1) from within the cell Since exposure of humans and animals to chemical itself, like for example the case at programmed cell substances leads to changed gene activities in the death (apoptosis), 2) by other cells in the body, like body, analysing these modulations may therefore for example in the immune system, where one im- have very interesting applications for toxicology. Tox-mune cell may influence the functioning of another icology namely investigates whether chemical subimmune cell, and 3) influences from outside the body, stances have hazardous impact on humans or animals, like as a result of exposure to a toxic substance. A and importantly also, to retrieve the mechanisms of well-known example of the latter is dioxin, a carcino- action. Establishing these so-called genomic risk pro-genic substance which binds to a sensor in the cell files has a central role in toxicogenomics.6–9 Corresponding author / Avtor za dopisovanje: Joost H. M. van Delft, Department of Health Risk Analyses and Toxicology, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200MD Maastricht, The Netherlands, tel.: +31 (43) 388 10 92, fax: +31 (43) 388 41 46, e-mail: j.vandelft@grat.unimaas.nl II-26 Zdrav Vestn 2007; 76: SUPPL II New drugs, chemicals or ingredients of cosmetic products can only be put on the market, if they have been demonstrated to be safe for humans or animals. This means that each new substance is extensively examined on possible hazardous properties. Although already a lot can be achieved by tests on cultured cells, animal tests are however still necessary. It is expected that investigating genomic risk profiles – thus toxicogenomics – drastically reduces the use of test animals, and thereby also provides wealthy information concerning the mechanisms of action of a substance.10, 11 Cancer can be caused by chemical substances. Carcinogenic potency is therefore an crucial toxic property, which must be examined to assess the safety of a substance. Two important mechanisms ensure that a substance is carcinogenic. First because the substance damages the DNA, which leads to mutations (change of the genetic code), and as a result of this, a disorganised control of the cell growth (e. g. too many cell divisions or too less apoptosis). Examples of this are many cytostatic anti-cancer drugs and also carcinogenic compounds which are present in cigarette smoke. Secondly, the carcinogenic substances do not damage DNA, but cause by means of other – indirect – mechanisms a stimulation of the cell division or a suppression of the apoptosis.12 Dioxin is a well-known example of such a carcinogen. Predicting toxic properties of a substance by assessing gene expression profiles, requires that first a large database is built for well-known classes of toxic substances (see Figure 1, with carcinogens as example). That database consists of gene expression profiles for many substances per class. For each class, a gene expression profile can be identified by means of mathematical models, by which that class can be distinguished from others. Next, by comparing the gene expression profile of a new substance with those of the different toxic classes, the best fit with a specific class can be determined. Thereby, it can be assessed whether a substance has a specific toxic property.13–16 At the Department of Health Risk Analysis and Toxicology and in (inter)national collaborations (the Netherlands Toxicogenomics Centre [ www.toxicogeno-mics centre.nl ] and the Carcinogenomics project of the European Union [ www.carcinogenomics.org ]) extensive Toxicogenomics studies are conducted. These particularly aim at developing alternative methods for animal tests based on generating genomic risk profiles by microarray technologies, for carcinogenic-ity, for immunotoxicity and for reprotoxicity. References 1. Frueh FW, Hayashibara KC, Brown PO, Whitlock JP, Jr. Use of cDNA microarrays to analyze dioxin-induced changes in human liver gene expression. Toxicol Lett 2001; 122: 189–203. 2. Labruzzo P, Yu XF, Dufresne MJ. Induction of aryl hydrocarbon hydroxylase and demonstration of a specific nuclear receptor Known agents Carcinogens Carcinogens not DNA non DNA damaging damaging Carcinogens data B pZQQS c mZQH 1UUU1 Suspected toxicant L»-No match-«— Toxicant signature »- Match •* Figure 1. Assessing the carcinogenic property of a chemical compound by means of gene expression profiling in exposed cells. Sl. 1. Ugotavljanje kancerogenosti kemične snovi z ugotavljanjem sprememb v izražanju genov v izpostavljenih celicah. for 2,3,7,8-tetrachlorodibenzo-p-dioxin in two human hepato-ma cell lines. Biochem Pharmacol 1989; 38: 2339–48. 3. Boverhof DR, Burgoon LD, Tashiro C, Sharratt B, Chittim B, Harkema JR, et al. Comparative toxicogenomic analysis of the hepatotoxic effects of TCDD in Sprague Dawley rats and C57BL/ 6 mice. Toxicol Sci 2006; 94: 398–416. 4. Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc Natl Acad Sci U S A 1996; 93: 10614–9. 5. Holloway AJ, van Laar RK, Tothill RW, Bowtell DD. Options avail-able—from start to finish—for obtaining data from DNA microar-rays II. Nat Genet 2002; 32 Suppl: 481–9. 6. Nuwaysir EF, Bittner M, Trent J, Barrett JC, Afshari CA. Microar-rays and toxicology: the advent of toxicogenomics. Mol Carcinog 1999; 24: 153–9. 7. Hamadeh HK, Amin RP, Paules RS, Afshari CA. An overview of toxicogenomics. Curr Issues Mol Biol 2002; 4: 45–56. 8. Waters MD, Fostel JM. Toxicogenomics and systems toxicology: aims and prospects. Nat Rev Genet 2004; 5: 936–48. 9. Pennie WD, Woodyatt NJ, Aldridge TC, Orphanides G. Application of genomics to the definition of the molecular basis for toxicity. Toxicol Lett 2001; 120: 353–8. 10. Corvi R, Ahr HJ, Albertini S, Blakey DH, Clerici L, Coecke S, et al. Meeting Report: Validation of Toxicogenomics-Based Test Systems: ECVAM-ICCVAM/NICEATM Considerations for Regulatory Use. Environ-Health-Perspect 2006; 114: 420–9. 11. Thybaud V, Aardema M, Clements J, Dearfield K, Galloway S, Hayashi M, et al. Strategy for genotoxicity testing: hazard identification and risk assessment in relation to in vitro testing. Mutat Res 2007; 627: 41–58. 12. Luch A. Nature and nurture – lessons from chemical carcino-genesis. Nat Rev Cancer 2005; 5: 113–25. 13. Martin R, Rose D, Yu K, Barros S. Toxicogenomics strategies for predicting drug toxicity. Pharmacogenomics 2006; 7: 1003–16. 14. Pognan F. Toxicogenomics applied to predictive and exploratory toxicology for the safety assessment of new chemical entities: a long road with deep potholes. Prog Drug Res 2007;64: 217, 9–38. 15. van Delft JH, van Agen E, van Breda SG, Herwijnen MH, Staal YC, Kleinjans JC. Comparison of supervised clustering methods to discriminate genotoxic from non-genotoxic carcinogens by gene expression profiling. Mutat Res 2005; 575: 17–33. 16. Fielden MR, Kolaja KL. The state-of-the-art in predictive toxico-genomics. Curr Opin Drug Discov Devel 2006; 9: 84–91. Raw