Intrinsic Molecular Subtypes of Metastatic Castration-Resistant Prostate Cancer

前列腺癌 阉割 前列腺 癌症 肿瘤科 医学 内科学 激素
作者
Eric Feng,Nicholas R. Rydzewski,Meng Zhang,Arian Lundberg,Matthew Bootsma,Kyle T. Helzer,Joshua M. Lang,Rahul Aggarwal,Eric J. Small,David A. Quigley,Martin Sjöström,Shuang G. Zhao
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:28 (24): 5396-5404 被引量:4
标识
DOI:10.1158/1078-0432.ccr-22-2567
摘要

Although numerous biology-driven subtypes have been described previously in metastatic castration-resistant prostate cancer (mCRPC), unsupervised molecular subtyping based on gene expression has been less studied, especially using large cohorts. Thus, we sought to identify the intrinsic molecular subtypes of mCRPC and assess molecular and clinical correlates in the largest combined cohort of mCRPC samples with gene expression data available to date.We combined and batch-effect corrected gene expression data from four mCRPC cohorts from the Fred Hutchinson Cancer Research Center (N = 157), a small-cell neuroendocrine (NE) prostate cancer (SCNC)-enriched cohort from Weill Cornell Medicine (N = 49), and cohorts from the Stand Up 2 Cancer/Prostate Cancer Foundation East Coast Dream Team (N = 266) and the West Coast Dream Team (N = 162).Hierarchical clustering of RNA-sequencing data from these 634 mCRPC samples identified two distinct adenocarcinoma subtypes, one of which (adeno-immune) was characterized by higher gene expression of immune pathways, higher CIBERSORTx immune scores, diminished ASI benefit, and non-lymph node metastasis tropism compared with an adeno-classic subtype. We also identified two distinct subtypes with enrichment for an NE phenotype, including an NE-liver subgroup characterized by liver metastasis tropism, PTEN loss, and APC and SPOP mutations compared with an NE-classic subgroup.Our results emphasize the heterogeneity of mCRPC beyond currently accepted molecular phenotypes, and suggest that future studies should consider incorporating transcriptome-wide profiling to better understand how these differences impact treatment responses and outcomes.
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