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Genome-wide discovery of genetic variants affecting tamoxifen sensitivity and their clinical and functional validation

  • L. Weng
  • , D. Ziliak
  • , H. K. Im
  • , E. R. Gamazon
  • , S. Philips
  • , A. T. Nguyen
  • , Z. Desta
  • , T. C. Skaar
  • , D. A. Flockhart
  • , R. S. Huang*
  • *Corresponding author for this work
  • The University of Chicago
  • Indiana University-Purdue University Indianapolis

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Beyond estrogen receptor (ER), there are no validated predictors for tamoxifen (TAM) efficacy and toxicity. We utilized a genome-wide cell-based model to comprehensively evaluate genetic variants for their contribution to cellular sensitivity to TAM. Design: Our discovery model incorporates multidimensional datasets, including genome-wide genotype, gene expression, and endoxifen-induced cellular growth inhibition in the International HapMap lymphoblastoid cell lines (LCLs). Genome-wide findings were further evaluated in NCI60 cancer cell lines. Gene knock-down experiments were performed in four breast cancer cell lines. Genetic variants identified in the cell-based model were examined in 245 Caucasian breast cancer patients who underwent TAM treatment. Results: We identified seven novel single-nucleotide polymorphisms (SNPs) associated with endoxifen sensitivity through the expression of 10 genes using the genome-wide integrative analysis. All 10 genes identified in LCLs were associated with TAM sensitivity in NCI60 cancer cell lines, including USP7. USP7 knock-down resulted in increasing resistance to TAM in four breast cancer cell lines tested, which is consistent with the finding in LCLs and in the NCI60 cells. Furthermore, we identified SNPs that were associated with TAM-induced toxicities in breast cancer patients, after adjusting for other clinical factors. Conclusion: Our work demonstrates the utility of a cell-based model in genome-wide identification of pharmacogenomic markers. © The Author 2013. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved.
Original languageEnglish
Pages (from-to)1867-1873
JournalAnnals of oncology
Volume24
Issue number7
DOIs
Publication statusPublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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