Molecular profiling stratifies diverse phenotypes of treatment-refractory metastatic castration-resistant prostate cancer

Mark P. Labrecque(University of Washington), Ilsa M. Coleman(Fred Hutch Cancer Center), Lisha G. Brown(University of Washington), Lawrence D. True, Lori Kollath(University of Washington), Bryce Lakely(University of Washington), Holly M. Nguyen(University of Washington), Yu Chi Yang(Fred Hutch Cancer Center), Rui M. Gil da Costa(Fred Hutch Cancer Center), Arja Kaipainen(Fred Hutch Cancer Center), Roger Coleman(Fred Hutch Cancer Center), Celestia S. Higano(University of Washington), Evan Y. Yu(University of Washington Medical Center), Heather H. Cheng(University of Washington Medical Center), Elahe A. Mostaghel(University of Puget Sound), Bruce Montgomery(University of Puget Sound), Michael T. Schweizer(University of Washington Medical Center), Andrew C. Hsieh(University of Washington Medical Center), Daniel W. Lin(University of Washington), Eva Corey(University of Washington), Peter S. Nelson(University of Washington Medical Center), Colm Morrissey(University of Washington)
Journal of Clinical Investigation
July 30, 2019
Cited by 462Open Access
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Abstract

Metastatic castration-resistant prostate cancer (mCRPC) is a heterogeneous disease with diverse drivers of disease progression and mechanisms of therapeutic resistance. We conducted deep phenotypic characterization of CRPC metastases and patient-derived xenograft (PDX) lines using whole genome RNA sequencing, gene set enrichment analysis and immunohistochemistry. Our analyses revealed five mCRPC phenotypes based on the expression of well-characterized androgen receptor (AR) or neuroendocrine (NE) genes: (i) AR-high tumors (ARPC), (ii) AR-low tumors (ARLPC), (iii) amphicrine tumors composed of cells co-expressing AR and NE genes (AMPC), (iv) double-negative tumors (i.e. AR-/NE-; DNPC) and (v) tumors with small cell or NE gene expression without AR activity (SCNPC). RE1-silencing transcription factor (REST) activity, which suppresses NE gene expression, was lost in AMPC and SCNPC PDX models. However, knockdown of REST in cell lines revealed that attenuated REST activity drives the AMPC phenotype but is not sufficient for SCNPC conversion. We also identified a subtype of DNPC tumors with squamous differentiation and generated an encompassing 26-gene transcriptional signature that distinguished the five mCRPC phenotypes. Together, our data highlight the central role of AR and REST in classifying treatment-resistant mCRPC phenotypes. These molecular classifications could potentially guide future therapeutic studies and clinical trial design.


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