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

Bioinformatics Molecular genetics Oncology Prostate cancer

Journal

JCI insight
ISSN: 2379-3708
Titre abrégé: JCI Insight
Pays: United States
ID NLM: 101676073

Informations de publication

Date de publication:
29 Aug 2024
Historique:
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: aheadofprint

Résumé

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). 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. 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. 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. NCI/NIH 1R37CA288972-01, NCI Cancer Center Support P30 CA077598, DOD W81XWH-22-2-0025, R01 CA249279.

Sections du résumé

BACKGROUND 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 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 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 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 BACKGROUND
NCI/NIH 1R37CA288972-01, NCI Cancer Center Support P30 CA077598, DOD W81XWH-22-2-0025, R01 CA249279.

Identifiants

pubmed: 39207857
pii: 183158
doi: 10.1172/jci.insight.183158
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Hannah E Bergom (HE)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Ella Boytim (E)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Sean McSweeney (S)

Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, United States of America.

Negar Sadeghipour (N)

Department of Clinical and Translational Research, Caris Life Sciences, Phoenix, United States of America.

Andrew Elliott (A)

Department of Clinical and Translational Research, Caris Life Sciences, Phoenix, United States of America.

Rachel Passow (R)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Eamon Toye (E)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Xiuxiu Li (X)

Desai Sethi Urology Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miami, United States of America.

Pornlada Likasitwatanakul (P)

Department of Medicine, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Daniel M Geynisman (DM)

Medical Oncology, Fox Chase Cancer Center, Philadelphia, United States of America.

Scott M Dehm (SM)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Susan Halabi (S)

Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, United States of America.

Nima Sharifi (N)

Desai Sethi Urology Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miami, United States of America.

Emmanuel S Antonarakis (ES)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Charles J Ryan (CJ)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Justin Hwang (J)

Masonic Cancer Center, University of Minnesota-Twin Cities, Minneapolis, United States of America.

Classifications MeSH