Important progress continues to be made in the treatment of most common cancers, but therapeutic benefit remains difficult to predict and severe or fatal adverse events occur frequently. The Human Genome Project has fueled the notion that genetic information can produce effective and cost-efficient selection of therapies for individual patients, but validated genetic signatures that predict response to most chemotherapy regimens remain to be identified. Numerous genes potentially influence drug response, but current candidate-gene approaches are limited by the requirement of a priori knowledge about the genes involved and the moderate size of most clinical trials often limits the power of in vitro genome wide association studies (GWAS) for cancer pharmacogenomics discovery. In response to these limitations, we have undertaken a thorough, pharmacogenomic assessment of cytotoxic effect of the majority of FDA approved anti-cancer compounds using an ex vivo model system to determine the heritability of drug-induced cell killing to prioritize drugs for pharmacogenomic mapping. These results are an important first step, and while high heritability of a trait does not guarantee successful association mapping results, it represents an important first step and the results will be used to prioritize drugs with high heritabilities for genome-wide association mapping. In the current proposal, GWAS mapping of cytotoxic agents will be performed in a European American population, and then replication GWAS mapping will be performed in an East Asian population. In addition to discovering and validating genetic variants that predict drug response, the wealth of data collected will be used to dissect the underlying etiology of drug response traits, including assessing the relative contribution of genetic, environmental, and interaction components of variation. These results will provide crucial insight to prioritize genetic variants for follow-up in precious clinical population resources, and potentially reveal new insight into the overall etiology of drug responses.

Public Health Relevance

We will build on our previous work to conduct ex vivo GWAS studies in two large, independent population cohorts on drug response phenotypes, and use cutting-edge statistical approaches to dissect the genetic etiology of these traits. Our overall goal is to identify high interest genes and characterize the trait etiology of these drug response outcomes so that they may be further investigated in future studies. This application leverages previously completed genome-wide genotyping for efficient association mapping, and will evaluate genetic associations in two independent cohorts.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA161608-04
Application #
8823742
Study Section
Epidemiology of Cancer Study Section (EPIC)
Program Officer
Filipski, Kelly
Project Start
2012-03-01
Project End
2016-02-29
Budget Start
2015-03-01
Budget End
2016-02-29
Support Year
4
Fiscal Year
2015
Total Cost
$396,756
Indirect Cost
$63,803
Name
North Carolina State University Raleigh
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
042092122
City
Raleigh
State
NC
Country
United States
Zip Code
27695
Mathur, Ravi; Rotroff, Daniel; Ma, Jun et al. (2018) Gene set analysis methods: a systematic comparison. BioData Min 11:8
Jia, Feifei; Teer, Jamie K; Knepper, Todd C et al. (2017) Discordance of Somatic Mutations Between Asian and Caucasian Patient Populations with Gastric Cancer. Mol Diagn Ther 21:179-185
Roell, Kyle R; Reif, David M; Motsinger-Reif, Alison A (2017) An Introduction to Terminology and Methodology of Chemical Synergy-Perspectives from Across Disciplines. Front Pharmacol 8:158
Gillis, Nancy K; McLeod, Howard L (2016) The pharmacogenomics of drug resistance to protein kinase inhibitors. Drug Resist Updat 28:28-42
Mason, Neil T; Bell, Gillian C; Quilitz, Rod E et al. (2015) Budget impact analysis of CYP2C19-guided voriconazole prophylaxis in AML. J Antimicrob Chemother 70:3124-6
Alvarellos, Maria L; McDonagh, Ellen M; Patel, Sephalie et al. (2015) PharmGKB summary: succinylcholine pathway, pharmacokinetics/pharmacodynamics. Pharmacogenet Genomics 25:622-30
Marsh, Sharon; King, Cristi R; Van Booven, Derek J et al. (2015) Pharmacogenomic assessment of Mexican and Peruvian populations. Pharmacogenomics 16:441-8
Jack, John; Havener, Tammy M; McLeod, Howard L et al. (2015) Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations. Pharmacogenomics 16:1451-63
Patel, Jai N; Jiang, Chen; Hertz, Daniel L et al. (2015) Bevacizumab and the risk of arterial and venous thromboembolism in patients with metastatic, castration-resistant prostate cancer treated on Cancer and Leukemia Group B (CALGB) 90401 (Alliance). Cancer 121:1025-31
Eduati, Federica; Mangravite, Lara M; Wang, Tao et al. (2015) Prediction of human population responses to toxic compounds by a collaborative competition. Nat Biotechnol 33:933-40

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