Androgen production, uptake, and conversion (APUC) genes define prostate cancer patients with distinct clinical outcomes.

BACKGROUND: Prostate cancer (PC) is driven by aberrant signaling of the androgen receptor (AR) or its ligands, and androgen deprivation therapies (ADT) are a cornerstone of treatment. ADT responsiveness may be associated with germline alterations in genes that regulate androgen production, uptake, and conversion (APUC). METHODS: We analyzed whole-exome sequencing (WES) and whole transcriptome sequencing (WTS) data from prostate tissues (SU2C/PCF, TCGA, GETx). We also interrogated the Caris POA DNA (592-gene/whole exome) and RNA (whole transcriptome) NGS databases. Algorithm for Linking Activity Networks (ALAN) was used to quantify all pairwise gene-to-gene associations. Real-world overall survival (OS) was determined from insurance claims data using Kaplan-Meier estimates. RESULTS: Six APUC genes (HSD3B1, HSD3B2, CYP3A43, CYP11A1, CYP11B1, CYP17A1) exhibited coalescent gene behavior in a cohort of metastatic tumors (n = 208). In the Caris POA dataset, the 6 APUC genes (APUC-6) exhibited robust clustering in primary prostate (n = 4,490) and metastatic (n = 2,593) biopsies. Surprisingly, tumors with elevated APUC-6 expression had statically lower expression of AR, AR-V7, and AR signaling scores suggesting ligand-driven disease biology. APUC-6 genes instead associated with the expression of alternative steroid hormone receptors, ESR1/2 and PGR. We used RNA expression of AR or APUC-6 genes to define two subgroups of tumors with differential association with hallmark pathways and cell surface targets. CONCLUSIONS: The APUC-6 high/AR-low tumors represented a subgroup of patients with good clinical outcomes in contrast to the AR-high or neuroendocrine prostate cancers. Altogether, measuring the aggregate expression of APUC-6 genes in current genomic tests identifies PCs that are ligand- (rather than AR-) driven and require distinct therapeutic strategies. FUNDING: NCI/NIH 1R37CA288972-01, NCI Cancer Center Support P30 CA077598, DOD W81XWH-22-2-0025, R01 CA249279.

Duke Scholars

Author Susan Halabi Biostatistics & Bioinformatics, Division of Biostatistics