Assessing the quality and making appropriate use of historical negative control data: A report of the International Workshop on Genotoxicity Testing (IWGT)

Author:

Dertinger Stephen D.1,Li Dingzhou2,Beevers Carol3,Douglas George R.4ORCID,Heflich Robert H.5,Lovell David P.6,Roberts Daniel J.7,Smith Robert8,Uno Yoshifumi9,Williams Andrew4,Witt Kristine L.10,Zeller Andreas11ORCID,Zhou Changhui12

Affiliation:

1. Litron Laboratories Rochester New York USA

2. Pfizer Groton Connecticut USA

3. Corteva Agriscience Oxford UK

4. Environmental Health Science and Research Bureau Health Canada Ottawa Canada

5. U.S. Food and Drug Administration/National Center for Toxicological Research Jefferson Arkansas USA

6. St. George's Medical School University of London London UK

7. Charles River Labs Genetic & In Vitro Toxicology Skokie Illinois USA

8. Labcorp Drug Development Harrogate UK

9. LSI Medience, Co. Tokyo Japan

10. Division of Translational Toxicology National Institute of Environmental Health Sciences/National Institutes of Health Research Triangle Park North Carolina USA

11. F. Hoffmann‐La Roche, Ltd. Pharmaceutical Sciences, pRED Innovation Center Basel Basel Switzerland

12. Shanghai Innostar Bio‐tech, Co., Ltd. China State Institute of Pharmaceutical Industry Shanghai China

Abstract

AbstractHistorical negative control data (HCD) have played an increasingly important role in interpreting the results of genotoxicity tests. In particular, Organisation for Economic Co‐operation and Development (OECD) genetic toxicology test guidelines recommend comparing responses produced by exposure to test substances with the distribution of HCD as one of three criteria for evaluating and interpreting study results (referred to herein as “Criterion C”). Because of the potential for inconsistency in how HCD are acquired, maintained, described, and used to interpret genotoxicity testing results, a workgroup of the International Workshops for Genotoxicity Testing was convened to provide recommendations on this crucial topic. The workgroup used example data sets from four in vivo tests, the Pig‐a gene mutation assay, the erythrocyte‐based micronucleus test, the transgenic rodent gene mutation assay, and the in vivo alkaline comet assay to illustrate how the quality of HCD can be evaluated. In addition, recommendations are offered on appropriate methods for evaluating HCD distributions. Recommendations of the workgroup are: When concurrent negative control data fulfill study acceptability criteria, they represent the most important comparator for judging whether a particular test substance induced a genotoxic effect. HCD can provide useful context for interpreting study results, but this requires supporting evidence that (i) HCD were generated appropriately, and (ii) their quality has been assessed and deemed sufficiently high for this purpose. HCD should be visualized before any study comparisons take place; graph(s) that show the degree to which HCD are stable over time are particularly useful. Qualitative and semi‐quantitative assessments of HCD should also be supplemented with quantitative evaluations. Key factors in the assessment of HCD include: (i) the stability of HCD over time, and (ii) the degree to which inter‐study variation explains the total variability observed. When animal‐to‐animal variation is the predominant source of variability, the relationship between responses in the study and an HCD‐derived interval or upper bounds value (i.e., OECD Criterion C) can be used with a strong degree of confidence in contextualizing a particular study's results. When inter‐study variation is the major source of variability, comparisons between study data and the HCD bounds are less useful, and consequentially, less emphasis should be placed on using HCD to contextualize a particular study's results. The workgroup findings add additional support for the use of HCD for data interpretation; but relative to most current OECD test guidelines, we recommend a more flexible application that takes into consideration HCD quality. The workgroup considered only commonly used in vivo tests, but it anticipates that the same principles will apply to other genotoxicity tests, including many in vitro tests.

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Genetics (clinical),Epidemiology

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3