Literature DB >> 31726190

A cross-sector call to improve carcinogenicity risk assessment through use of genomic methodologies.

Carole L Yauk1, Alison H Harrill2, Heidrun Ellinger-Ziegelbauer3, Jan Willem van der Laan4, Jonathan Moggs5, Roland Froetschl6, Frank Sistare7, Syril Pettit8.   

Abstract

Robust genomic approaches are now available to realize improvements in efficiencies and translational relevance of cancer risk assessments for drugs and chemicals. Mechanistic and pathway data generated via genomics provide opportunities to advance beyond historical reliance on apical endpoints of uncertain human relevance. Published research and regulatory evaluations include many examples for which genomic data have been applied to address cancer risk assessment as a health protection endpoint. The alignment of mature, robust, reproducible, and affordable technologies with increasing demands for reduced animal testing sets the stage for this important transition. We present our shared vision for change from leading scientists from academic, government, nonprofit, and industrial sectors and chemical and pharmaceutical safety applications. This call to action builds upon a 2017 workshop on "Advances and Roadblocks for Use of Genomics in Cancer Risk Assessment." The authors propose a path for implementation of innovative cancer risk assessment including incorporating genomic signatures to assess mechanistic relevance of carcinogenicity and enhanced use of genomics in benchmark dose and point of departure evaluations. Novel opportunities for the chemical and pharmaceutical sectors to combine expertise, resources, and objectives to achieve a common goal of improved human health protection are identified. Published by Elsevier Inc.

Entities:  

Keywords:  Cancer; Cancer risk assessment; Carcinogenicity; Genomics; Risk assessment; Toxicogenomics

Mesh:

Substances:

Year:  2019        PMID: 31726190      PMCID: PMC7891877          DOI: 10.1016/j.yrtph.2019.104526

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  40 in total

1.  Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals.

Authors:  Todd Bourcier; Tim McGovern; Lidiya Stavitskaya; Naomi Kruhlak; David Jacobson-Kram
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

2.  Assessing compound carcinogenicity in vitro using connectivity mapping.

Authors:  Florian Caiment; Maria Tsamou; Danyel Jennen; Jos Kleinjans
Journal:  Carcinogenesis       Date:  2013-08-12       Impact factor: 4.944

Review 3.  Framework for the quality assurance of 'omics technologies considering GLP requirements.

Authors:  Hans-Martin Kauffmann; Hennicke Kamp; Regine Fuchs; Brian N Chorley; Lize Deferme; Timothy Ebbels; Jörg Hackermüller; Stefania Perdichizzi; Alan Poole; Ursula G Sauer; Knut E Tollefsen; Tewes Tralau; Carole Yauk; Ben van Ravenzwaay
Journal:  Regul Toxicol Pharmacol       Date:  2017-10-05       Impact factor: 3.271

Review 4.  Chemical carcinogenicity revisited 1: A unified theory of carcinogenicity based on contemporary knowledge.

Authors:  Douglas C Wolf; Samuel M Cohen; Alan R Boobis; Vicki L Dellarco; Penelope A Fenner-Crisp; Angelo Moretto; Timothy P Pastoor; Rita S Schoeny; Jennifer G Seed; John E Doe
Journal:  Regul Toxicol Pharmacol       Date:  2019-01-08       Impact factor: 3.271

5.  Minimum datasets to establish a CAR-mediated mode of action for rodent liver tumors.

Authors:  Richard C Peffer; Matthew J LeBaron; Michael Battalora; Werner H Bomann; Christoph Werner; Manoj Aggarwal; Rocky R Rowe; Helen Tinwell
Journal:  Regul Toxicol Pharmacol       Date:  2018-04-16       Impact factor: 3.271

Review 6.  Derisking Drug-Induced Carcinogenicity for Novel Therapeutics.

Authors:  Jonathan G Moggs; Timothy MacLachlan; Hans-Joerg Martus; Philip Bentley
Journal:  Trends Cancer       Date:  2016-07-30

Review 7.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

8.  Application of DNA arrays to toxicology.

Authors:  J C Rockett; D J Dix
Journal:  Environ Health Perspect       Date:  1999-08       Impact factor: 9.031

9.  The limits of two-year bioassay exposure regimens for identifying chemical carcinogens.

Authors:  James Huff; Michael F Jacobson; Devra Lee Davis
Journal:  Environ Health Perspect       Date:  2008-06-30       Impact factor: 9.031

10.  Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action.

Authors:  Daniel Gusenleitner; Scott S Auerbach; Tisha Melia; Harold F Gómez; David H Sherr; Stefano Monti
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

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  3 in total

1.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

Authors:  Kamin J Johnson; Scott S Auerbach; Eduardo Costa
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

Review 2.  Current Therapeutic Landscape and Safety Roadmap for Targeting the Aryl Hydrocarbon Receptor in Inflammatory Gastrointestinal Indications.

Authors:  Samantha C Faber; Tejas S Lahoti; Ewan R Taylor; Lauren Lewis; Jessica M Sapiro; Vicencia Toledo Sales; Yvonne P Dragan; Brandon D Jeffy
Journal:  Cells       Date:  2022-05-21       Impact factor: 7.666

3.  Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Ivan Rusyn; Fred A Wright
Journal:  ALTEX       Date:  2022-03-10       Impact factor: 6.250

  3 in total

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