Profiling BCRAness phenotype in public prostate cancer datasets without homologous repair gene mutations.

F Federico Cayol (Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina) I Iván Macharashvili (Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina) L Luz Pena (Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina) M Maria Maite Queral Mc Innes (Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina) M Maria Sol Ruiz (CONICET - Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Buenos Aires, Argentina) G Geraldine Gueron J Juan Antonio Bizzotto (CONICET - Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) / Universidad Argentina de la Empresa (UADE). Instituto de Tecnología (INTEC), Buenos Aires, Argentina)

Abstract

223 Background: Co-inhibition of PARP and androgen receptor activity may enhance antitumor efficacy irrespective of HRR alterations, as suggested by TALAPRO and PROPEL. This may result from pathway crosstalk or alternative mechanisms generating a BRCAness phenotype not captured by standard genomic panels. Identifying these mechanisms is critical to optimize patient selection. We aimed to determine the prevalence of transcriptomic BRCAness in prostate cancer patients without HRR mutations across publicly available datasets, including primary tumors and metastases. Methods: RNA sequencing data were analyzed to identify oncogenic DNA repair mutations using RNAmut , a tool that detects expressed somatic variants from RNA-seq data. Variants identified as oncogenic were subsequently filtered, retaining those with a variant allele frequency (VAF) $≥0.4. The BRCAness phenotype was evaluated with expHRD , a transcriptome-based algorithm deriving a homologous recombination deficiency (HRD) score. Tumors with expHRD ≥42 were classified as HRD-high (BRCAness), consistent with the Myriad MyChoice CDx cutoff. Datasets included treatment-naïve localized tumors ( TCGA-PRAD , n=497; GSE216490 , n=95; GSE54460 , n=98) and metastatic samples from castration-resistant prostate cancer (mCRPC; GSE147250 , n=138). Results: In primary prostate cancer patients from the TCGA-PRAD dataset, a high BRCAness score was associated with faster disease progression, validating the tool's ability to identify this profile. Within the TCGA dataset, 1.3% of patients without mutations in homologous recombination repair (HRR) genes exhibited a BRCAness profile. Similar findings were observed in the GSE216490 dataset, where 4.2% of patients showed BRCAness, and in the GSE54460 dataset, where 2.0% of patients were classified as such. A higher prevalence of the BRCAness phenotype was observed in metastatic compared with localized disease: among patients without HRR mutations, 20.1% of metastatic tumors displayed high BRCAness scores. Conclusions: A high prevalence of BRCAness was observed in HRR-negative mCRPC, which may partly explain the clinical benefit of PARP inhibitor and ARPI combinations in all-comer populations. Validation of this strategy in pivotal trials is essential to refine patient selection and optimize therapeutic strategies.

Article Details

Volume / Issue Vol. 44, Issue 7_suppl
Published March 01, 2026
Pages 223-223
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (7)

F

Federico Cayol

Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina

I

Iván Macharashvili

Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina

L

Luz Pena

Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina

M

Maria Maite Queral Mc Innes

Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina

M

Maria Sol Ruiz

CONICET - Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Buenos Aires, Argentina

G

Geraldine Gueron

J

Juan Antonio Bizzotto

CONICET - Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) / Universidad Argentina de la Empresa (UADE). Instituto de Tecnología (INTEC), Buenos Aires, Argentina