Cited 1 times since 2025 (2.1 per year) source: EuropePMC Molecular oncology, Volume 19, Issue 8, 22 4 2025, Pages 2348-2365 Adverse prognosis gene expression patterns in metastatic castration-resistant prostate cancer. Sharifi MN, Feng E, Rydzewski NR, Taylor AK, Sperger JM, Shi Y, Helzer KT, Bootsma ML, Carreno V, Chang AH, Nunamaker LA, Blitzer GC, Shang TA, Subramanian A, Bjartell A, Josefsson A, Wikström P, Feng E, Kohli M, Yang R, Dehm SM, Small EJ, Aggarwal R, Quigley DA, Lang JM, Zhao SG, Sjöström M
Metastatic castration-resistant prostate cancer (mCRPC) is a heterogeneous disease. Several studies have identified transcriptional subtypes of mCRPC, but comprehensive analysis of prognostic gene expression pathways has been limited. Therefore, we aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression-based pathways with clinical outcomes and intrapatient and intratumor heterogeneity. Survival data were obtained for 272 patients. Pathway-level enrichment was evaluated using gene set variation analysis. scRNA-seq datasets from mCRPC tissue biopsies and circulating tumor cells were used to investigate heterogeneity of adverse pathways. We identified five pathway clusters: (a) Immune response/WNT/TGF-beta signaling, (b) AR signaling/luminal signatures, (c) mTOR signaling and glycolysis, (d) cell proliferation, and (e) neuroendocrine differentiation. Proliferation, AR signaling loss, and glycolysis/mTOR signaling were independently prognostic. Adverse prognostic pathway scores decreased on treatment with AR signaling inhibitors, but not at progression, suggesting failure to permanently target these pathways. scRNA-seq datasets from mCRPC tissue biopsies and circulating tumor cells were used to investigate heterogeneity of adverse pathways. Our results suggest loss of AR signaling, high proliferation, and a glycolytic phenotype as adverse prognostic pathways in mCRPC that could be used in conjunction with clinical factors to prognosticate for treatment decisions.
