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Androgen production, uptake, and conversion (APUC) genes define prostate cancer patients with distinct clinical outcomes
Hannah E. Bergom, … , Charles J. Ryan, Justin Hwang
Hannah E. Bergom, … , Charles J. Ryan, Justin Hwang
Published August 29, 2024
Citation Information: JCI Insight. 2024;9(20):e183158. https://doi.org/10.1172/jci.insight.183158.
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Clinical Research and Public Health Oncology

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

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Abstract

BACKGROUND Prostate cancer (PC) is driven by aberrant signaling of the androgen receptor (AR) or its ligands, and androgen deprivation therapies (ADTs) are a cornerstone of treatment. ADT responsiveness may be associated with germline changes 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 Precision Oncology Alliance (POA) DNA (592-gene/whole exome) and RNA (whole transcriptome) next-generation sequencing databases. Algorithm for Linking Activity Networks (ALAN) was used to quantify all pairwise gene-to-gene associations. Real-world overall survival 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 2 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 with the AR-high or neuroendocrine PCs. 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.

Authors

Hannah E. Bergom, Ella Boytim, Sean McSweeney, Negar Sadeghipour, Andrew Elliott, Rachel Passow, Eamon Toye, Xiuxiu Li, Pornlada Likasitwatanakul, Daniel M. Geynisman, Scott M. Dehm, Susan Halabi, Nima Sharifi, Emmanuel S. Antonarakis, Charles J. Ryan, Justin Hwang

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Figure 2

Key clinical correlates of APUC-6-high tumors.

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Key clinical correlates of APUC-6-high tumors.
APUC-6 genes were used to...
APUC-6 genes were used to stratify metastatic PC patients from the SU2C/PCF samples (27) in which we examined (A) the relative expression of AR-V7 (P value), (B) AR and NEPC signatures (adjusted P values), and (C) Luminal and Basal signatures (adjusted P values). P values for single tests or adjusted P values for multiple comparisons are shown: *Padj ≤ 0.05 and P > 0.01, **Padj < 0.01 and P ≥ 0.001, ***Padj ≤ 0.001. NS, Padj and P > 0.05. (D) The expression of each APUC-6 gene and AR activity was evaluated through Pearson’s correlations using the samples in Abida et al. (27) as well as the primary and metastatic samples from the Caris cohort. The correlation coefficients (R) are shown. (E) The expression of each APUC-6 gene is depicted in primary tumors that are adenocarcinomas or NEPCs. *q < 0.05, **q < 0.01, ***q < 0.001, ****q < 0.0001. (F) AR amplification status (no/low/high amplifications) was examined based on metastatic tumors as stratified by APUC-6 and AR expression. (G) Venn diagrams showing coexpression of AR-high and APUC-6-high PCs (SU2C/PCF) using 2 percentile thresholds — above the 75th and 90th percentiles of target gene(s) expression. (H) We aggregated the proliferation score for the 6 APUC genes based on our prior study (29). The scores are based on the z score of the specific gene as compared with all 17,255 genes in the overexpression screen, in which numbers reflect the standard deviation. We then presented the aggregate scores of genes based on 2 treatment conditions (No Treatment, ADT), as well as the differences in the proliferation scores for every gene (Differential Score).

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