Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-20T11:29:08.280Z Has data issue: false hasContentIssue false

1 - The human predictive value of combined animal toxicity testing: current state and emerging approaches

from I - SPECIFIC AREAS OF PREDICTIVE TOXICOLOGY

Published online by Cambridge University Press:  06 December 2010

Jinghai J. Xu
Affiliation:
Merck Research Laboratory, New Jersey
Laszlo Urban
Affiliation:
Novartis Institutes for Biomedical Research, Massachusetts
Get access

Summary

INTRODUCTION

Pharmaceutical development in the late twentieth and early twenty-first centuries has been a challenging enterprise. It is an expensive undertaking with a high degree of risk associated mainly with a high failure rate. A new chemical entity (NCE) that successfully completes the entire process of drug discovery and development reaching approval as a new therapeutic may accrue total development costs in excess of one billion dollars (U.S.). Also, for the drugs that are successful, it typically takes 10 to 12 years from the initiation of research efforts to reach final marketing approval. Experience in the past decade with the overall success/failure rate process – which now encompasses many new and emerging tools including early screening assays and in silico technologies, and the historical experience of “what works and doesn't work” – has so far not yielded the expected productivity improvements. Enigmatically, recent experience suggests that it is getting more difficult to identify successful lead molecules that lead to safe and effective therapeutics.

A high-level schematic overview of the current drug development process is shown in Figure 1.1. Candidate molecules entering preclinical development from the discovery process proceed through the stages of clinical development (Clinical Phases I, II, and III). During clinical development, safety (first) and efficacy are evaluated in consecutively larger groups of normal volunteers and patients. First-in-human (or FIH) studies number in the 10s of normal subjects or patients, and then the NCE is assessed in patients (100s in Phase 2, and 1,000s in Phase 3) with the disease of therapeutic interest.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

DiMasi, JA, Hansen, RW, Grabowski, HG. The price of innovation: new estimates of drug development costs. J Health Econ. 2003;22:151–185.CrossRefGoogle Scholar
Pritchard, JF, Mille, J-R, Reimer, MLJ. Making better drugs: Decision gates in non-­clinical drug development. Nature Rev Drug Disc. 2003;2:542–553.CrossRefGoogle ScholarPubMed
Kramer, JA, Sagartz, JE, Morris, DL. The application of discovery toxicology and pathology towards the design of safer pharmaceutical lead candidates. Nature Rev Drug Disc. 2007;6:636–649.CrossRefGoogle ScholarPubMed
US FDA. M3(R2) Nonclinical safety studies for the conduct of human clinical trials and marketing authorization for pharmaceuticals, Revision 1, ICH Harmonized Tripartite Guideline, 2010.
Geiling, EMK, Cannon, PR. Pathologic effects of elixir of sulphanilamide (diethylene glycol) poisoning. JAMA. 1938;111:919–926.CrossRefGoogle Scholar
Mattes, WB, Walker, EG. Translational toxicology and the work of the predictive safety testing consortium. Clin Pharmacol Ther. 2009;85:327–330.CrossRefGoogle ScholarPubMed
Olson, HM, Betton, G, Robinson, D, et al. Concordance of the toxicity of pharmaceuticals in humans and in animals. Reg Tox Pharma. 2000; 32:56–67.CrossRefGoogle ScholarPubMed
Litchfield, JT. Evaluation of the safety of new drugs by means of tests in animals. Clin Pharmacol Ther. 1962; 3:665–672.CrossRefGoogle ScholarPubMed
Owens, AH. Predicting anticancer drug effects in man from laboratory animal studies. J Chron Dis. 1962;15:223–228.CrossRefGoogle ScholarPubMed
Rozencweig, M. Animal toxicology for early clinical trials with anticancer agents. Cancer Clin Trials 1981;4, 21–28.Google ScholarPubMed
Schein, P, Davis, RD, Carter, S, et al. The evaluation of anticancer drugs in dogs and monkeys for the prediction of qualitative toxicities in man, Clin Pharmacol Ther. 1970;11,3–40.CrossRefGoogle ScholarPubMed
Freireich, EJ, Gehen, EA, Rall, DP, et al. Quantitative comparison of toxicity of anticancer agents in mouse, rat, hamster, dog, monkey and man. Cancer Chemother Reports 1966;50 219–244.Google ScholarPubMed
Igarashi, T, Nakane, S, Kitagawa, T. Predictability of clinical adverse reactions of drugs by general pharmacology studies. J Toxicol Sci. 1995;20:77–92.CrossRefGoogle ScholarPubMed
Fletcher, AP. Drug safety tests and subsequent clinical experience. J Royal Soc Med. 1978;71:693–696.CrossRefGoogle ScholarPubMed
Greaves, P, Williams, A, Eve, M. First dose of potential new medicines to humans: How animals help. Nature Rev Drug Disc. 2004;3:226–236.CrossRefGoogle ScholarPubMed
Dressman, JB. Comparison of canine and human gastrointestinal physiology. Pharmacol Res. 1986;3:123–131.CrossRefGoogle ScholarPubMed
Lee, MW. Drug-induced hepatotoxicity. N Engl J Med. 2003;349:474–485.CrossRefGoogle ScholarPubMed
Hayes, AW. Correlation of human hepatotoxicants with hepatic damage in animals. Fund Appl Toxicol. 1982;2:55–66.Google ScholarPubMed
Litchfield, JT. Forecasting drug effects in man from studies in laboratory animals. JAMA.1961;177:34–38.CrossRefGoogle ScholarPubMed
Burrell, R, Flaherty, DK, Sauers, LJ. Toxicology of the Immune System – A Human Approach. New York, NY: Van Nostrand Reinhold; 1992:228–232.Google Scholar
Hayes, TJ. Interpretation of toxicological data from responsive and non-responsive species. In: Preclinical Evaluation of Peptides and Recombinant Proteins. Malmo, Sweden: Skogs Grafiska, AB, Sundwall, A, L Ekman, H-E Johansson – eds: 1990:15–18.Google Scholar
Hood, RD, Miller, DB. Maternally mediated effects on development. In: Developmental and Reproductive Toxicology. New York, NY: CRC Press; 2006:101–102.Google Scholar
,FDA. Office of Pharmaceutical Science, Genetic Toxicity, Reproductive and Development Toxicity, and Carcinogenicity Database 2006. Retrieved from http://www.fda.gov/Cder/Offices/OPS_IO/. Accessed March 18, 2009.
,ICH. Guideline S1B Testing for Carcinogenicity of Pharmaceuticals 1997.
Davies, TS, Monro, A. Marketed human pharmaceuticals reported to be tumorigenic in rodents. J American College Toxicol. 1995; 4:90–107.CrossRefGoogle Scholar
Gold, LS, Zeiger, E,. Handbook of Carcinogenic Potency and Genotoxicity Databases. New York, NY: CRC Press; 1997. See also The Carcinogenic Potency Database. Retrieved from http://potency.berkeley.edu/index.html. Accessed March 18, 2009
Monro, A. Are Lifespan Rodent Carcinogenicity Studies Defensible for Pharmaceutical Agents. Exp Toxic Pathol. 1996; 48:155–166CrossRefGoogle ScholarPubMed
,Critical Path Institute. Predictive Safety Testing Consortium. 2008. Retrieved from http://www.c-path.org/pstc.cfm. Accessed March 18, 2009
Sistare, F. An Analysis of Pharmaceutical Experience with Decades of Rat Carcinogenicity Testing: Should We Modify Current Testing Guidelines for Assessing Pharmaceutical Carcinogenicity Risk? Annual Congress for the 30th Spring Meeting of the British Toxicology Society 2009; 22–25 March 2009, University of Warwick, UK. Abstract S002.
,Predictive Safety Testing Consortium (PSTC). Carcinogenicity Working Group. Inter-laboratory evaluation of genomic signatures for predicting carcinogenicity in the rat. Toxicol Sci. 2008;103:28–34.CrossRefGoogle Scholar
MatthewsEJ, , Kruhlak, NL, Cimino, MC, et al. An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: II. Identification of genotoxicants, reprotoxicants, and carcinogens using in silico methods. Regul Tox Pharm. 2006;44:97–110.CrossRefGoogle Scholar
Wallace, KB, Hausner, E, Herman, E, et al. Serum troponins as biomarkers of drug-induced cardiac toxicity. Tox Path. 2004;32:106–121.CrossRefGoogle ScholarPubMed
Rached, E, Hoffmann, D, Blumbach, K, et al. Evaluation of putative biomarkers of nephrotoxicity after exposure to Ochratoxin A in vivo and in vitro. Toxicol Sci. 2008;103:371–381.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×