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Medical Specialties

Department of Radiation Oncology Faculty Papers

Series

2015

United States

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Full-Text Articles in Medicine and Health Sciences

Characterization Of 1577 Primary Prostate Cancers Reveals Novel Biological And Clinicopathologic Insights Into Molecular Subtypes., Scott A. Tomlins, Mohammed Alshalalfa, Elai Davicioni, Nicholas Erho, Kasra Yousefi, Shuang Zhao, Zaid Haddad, Robert B. Den, Adam P. Dicker, Bruce J. Trock, Angelo M. Demarzo, Ashley E. Ross, Edward M. Schaeffer, Eric A. Klein, Cristina Magi-Galluzzi, R. Jeffrey Karnes, Robert B. Jenkins, Felix Y. Feng Oct 2015

Characterization Of 1577 Primary Prostate Cancers Reveals Novel Biological And Clinicopathologic Insights Into Molecular Subtypes., Scott A. Tomlins, Mohammed Alshalalfa, Elai Davicioni, Nicholas Erho, Kasra Yousefi, Shuang Zhao, Zaid Haddad, Robert B. Den, Adam P. Dicker, Bruce J. Trock, Angelo M. Demarzo, Ashley E. Ross, Edward M. Schaeffer, Eric A. Klein, Cristina Magi-Galluzzi, R. Jeffrey Karnes, Robert B. Jenkins, Felix Y. Feng

Department of Radiation Oncology Faculty Papers

BACKGROUND: Prostate cancer (PCa) molecular subtypes have been defined by essentially mutually exclusive events, including ETS gene fusions (most commonly involving ERG) and SPINK1 overexpression. Clinical assessment may aid in disease stratification, complementing available prognostic tests.

OBJECTIVE: To determine the analytical validity and clinicopatholgic associations of microarray-based molecular subtyping.

DESIGN, SETTING, AND PARTICIPANTS: We analyzed Affymetrix GeneChip expression profiles for 1577 patients from eight radical prostatectomy cohorts, including 1351 cases assessed using the Decipher prognostic assay (GenomeDx Biosciences, San Diego, CA, USA) performed in a laboratory with Clinical Laboratory Improvements Amendment certification. A microarray-based (m-) random forest ERG classification model …