Associations of Luminal and Basal Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation Therapy

Shuang G. Zhao(University of Michigan), S. Laura Chang(University of Michigan), Nicholas Erho(Genome British Columbia), Menggang Yu(University of Wisconsin–Madison), Jonathan Lehrer(Genome British Columbia), Mohammed Alshalalfa(Genome British Columbia), Corey Speers(University of Michigan), Matthew R. Cooperberg(University of California, San Francisco), Won Bae Kim(UCSF Helen Diller Family Comprehensive Cancer Center), Charles J. Ryan(University of California, San Francisco), Robert B. Den(Thomas Jefferson University), Stephen J. Freedland(Cedars-Sinai Medical Center), Edwin M. Posadas(Cedars-Sinai Medical Center), Howard M. Sandler(Cedars-Sinai Medical Center), Eric A. Klein(Cleveland Clinic), Peter C. Black(University of British Columbia), Roland Seiler(University of British Columbia), Scott A. Tomlins(Michigan Center for Translational Pathology), Arul M. Chinnaiyan(Howard Hughes Medical Institute), Robert B. Jenkins(Mayo Clinic), Elai Davicioni(Genome British Columbia), Ashley E. Ross(Johns Hopkins University), Edward M. Schaeffer(Northwestern University), Paul L. Nguyen(Harvard University), Peter R. Carroll(UCSF Helen Diller Family Comprehensive Cancer Center), R. Jeffrey Karnes(Mayo Clinic), Daniel E. Spratt(University of Michigan), Felix Y. Feng(University of California, San Francisco)
JAMA Oncology
May 11, 2017
Cited by 312Open Access
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Abstract

Importance: There is a clear need for a molecular subtyping approach in prostate cancer to identify clinically distinct subgroups that benefit from specific therapies. Objectives: To identify prostate cancer subtypes based on luminal and basal lineage and to determine associations with clinical outcomes and response to treatment. Design, Setting, and Participants: The PAM50 classifier was used to subtype 1567 retrospectively collected (median follow-up, 10 years) and 2215 prospectively collected prostate cancer samples into luminal- and basal-like subtypes. Main Outcomes and Measures: Metastasis, biochemical recurrence, overall survival, prostate cancer–specific survival, associations with biological pathways, and clinicopathologic variables were the main outcomes. Results: Among the 3782 samples, the PAM50 classifier consistently segregated prostate cancer into 3 subtypes in both the retrospective and prospective cohorts: luminal A (retrospective, 538 [34.3%]; prospective, 737 [33.3%]), luminal B (retrospective, 447 [28.5%]; prospective, 723 [32.6%]), and basal (retrospective, 582 [37.1%]; prospective, 755 [34.1%]). Known luminal lineage markers, such as NKX3.1 and KRT18, were enriched in luminal-like cancers, and the basal lineage CD49f signature was enriched in basal-like cancers, demonstrating the connection between these subtypes and established prostate cancer biology. In the retrospective cohort, luminal B prostate cancers exhibited the poorest clinical prognoses on both univariable and multivariable analyses accounting for standard clinicopathologic prognostic factors (10-year biochemical recurrence-free survival [bRFS], 29%; distant metastasis-free survival [DMFS], 53%; prostate cancer-specific survival [PCSS], 78%; overall survival [OS], 69%), followed by basal prostate cancers (10-year bRFS, 39%; DMFS, 73%; PCSS, 86%; OS, 80%) and luminal A prostate cancers (10-year bRFS, 41%; DMFS, 73%; PCSS, 89%; OS, 82%). Although both luminal-like subtypes were associated with increased androgen receptor expression and signaling, only luminal B prostate cancers were significantly associated with postoperative response to androgen deprivation therapy (ADT) in a subset analysis in our retrospective cohorts (n = 315) matching patients based on clinicopathologic variables (luminal B 10-year metastasis: treated, 33% vs untreated, 55%; nonluminal B 10-year metastasis: treated, 37% vs untreated, 21%; P = .006 for interaction). Conclusions and Relevance: Luminal- and basal-like prostate cancers demonstrate divergent clinical behavior, and patients with luminal B tumors respond better to postoperative ADT than do patients with non–luminal B tumors. These findings contribute novel insight into prostate cancer biology, providing a potential clinical tool to personalize ADT treatment for prostate cancer by predicting which men may benefit from ADT after surgery.


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