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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 1

Interaction of APUC genes in prostate tissue.

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Interaction of APUC genes in prostate tissue.
(A) STRING analysis was pe...
(A) STRING analysis was performed to indicate the degree of connection. Based on the output for molecular interactions, we then labeled uptake (blue), production (red), and conversion (yellow) genes. (B) The relationship between APUC genes was examined using ALAN outputs, values between –1 (blue) and 1 (red), based on WTS data from benign prostate tissue, PC, and metastatic PC tumors. Unsupervised hierarchical clustering was performed on ALAN outputs within each dataset. Six APUC genes are highlighted (red font). (C) The ALAN profiles for 6 APUC genes of interest are examined with greater detail in prostate tissue and metastatic PC. (D) Using WTS data from the Caris dataset, we conducted unsupervised hierarchical clustering of prostate and metastatic PC samples based on z score–scaled TPM data. (E) The median expression (TPM) of all APUC genes was examined in the GTEx database across all available tissue sites. Six APUC genes are highlighted (red font).

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