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Clinical Evaluation of Cisplatin Sensitivity of Germline Polymorphisms in Neoadjuvant Chemotherapy for Urothelial Cancer

  • Peter H. O’Donnell
  • , Shaheen Alanee
  • , Kelly L. Stratton
  • , Ilana R. Garcia-Grossman
  • , Hongyuan Cao
  • , Irina Ostrovnaya
  • , Elizabeth R. Plimack
  • , Christopher Manschreck
  • , Cory Ganshert
  • , Norm Smith
  • , Gary D. Steinberg
  • , Joseph Vijai
  • , Kenneth Offit
  • , Walter M. Stadler
  • , Dean F. Bajorin
  • University of Chicago
  • Memorial Sloan-Kettering Cancer Center
  • University of Oklahoma
  • New York University
  • Rutgers - The State University of New Jersey, New Brunswick
  • Rush University
  • Memorial Sloane Kettering Cancer Center
  • Program in Cancer Prevention and Population Research
  • Memorial Hospital
  • University of Cologne
  • Roswell Park Cancer Institute
  • Harvard University
  • University of Toronto
  • University of California at San Francisco
  • University College London
  • McGill University
  • Fred A. Litwin Center for Cancer Genetics
  • Seoul National University
  • AnaNeo Therapeutics

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

To identify patients with urothelial cancer most likely to benefit from neoadjuvant chemotherapy, we evaluated germline pharmacogenomic markers for an association with response in 205 patients across 3 institutions. Stage pT0 (26%) and < pT2 (50%) rates were consistent across the respective discovery and replication cohorts. Despite the large effects for 3 polymorphisms in the discovery set, none were associated with achievement of pT0 or < pT2 on replication. Multi-institutional efforts are feasible and will be necessary to achieve advances in urothelial cancer precision medicine. Background Level 1 evidence has demonstrated increased overall survival with cisplatin-based neoadjuvant chemotherapy for patients with muscle-invasive urothelial cancer. Usage remains low, however, in part because neoadjuvant chemotherapy will not be effective for every patient. To identify the patients most likely to benefit, we evaluated germline pharmacogenomic markers for association with neoadjuvant chemotherapy sensitivity in 2 large cohorts of patients with urothelial cancer. Patients and Methods Patients receiving neoadjuvant cisplatin-based chemotherapy for muscle-invasive urothelial cancer were eligible. Nine germline single nucleotide polymorphisms (SNPs) potentially conferring platinum sensitivity were tested for an association with a complete pathologic response to neoadjuvant chemotherapy (pT0) or elimination of muscle-invasive cancer (<pT2). Results The data from 205 patients were analyzed—59 patients were included in the discovery set and 146 in an independent replication cohort—from 3 institutions. The stage pT0 (26%) and < pT2 (50%) rates were consistent across the discovery and replication populations. Using a multivariate recessive genetic model, rs244898 in RARS (odds ratio, 6.8; 95% confidence interval, 1.8-28.9; P = .006) and rs7937567 in GALNTL4 (odds ratio, 4.8; 95% confidence interval, 1.1-22.6; P = .04) were associated with pT0 in the discovery set. Despite these large effects, neither were associated with achievement of pT0 in the replication set. A third SNP, rs10964552, was associated with stage < pT2 in the discovery set but also failed to replicate. Conclusion Germline SNPs previously associated with platinum sensitivity were not associated with the neoadjuvant chemotherapy response in a large replication cohort of patients with urothelial cancer. These results emphasize the need for replication when evaluating pharmacogenomic markers and demonstrate that multi-institutional efforts are feasible and will be necessary to achieve advances in urothelial cancer pharmacogenomics.

Original languageEnglish
Pages (from-to)511-517
Number of pages7
JournalClinical Genitourinary Cancer
Volume14
Issue number6
DOIs
StatePublished - Dec 1 2016

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

Keywords

  • Bladder cancer
  • Pharmacogenomics
  • Precision medicine
  • Treatment response prediction

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