A transcriptomic model for homologous recombination deficiency in prostate cancer

Prostate Cancer Prostatic Dis. 2022 Apr;25(4):659-665. doi: 10.1038/s41391-021-00416-2. Epub 2021 Jul 5.

Abstract

Background: Tumors with mutations associated with homologous recombination deficiency (HRD) are uncommon in prostate cancer (PCa) and variably responsive to PARP inhibition. To better identify tumors with HRD, we developed a transcriptomic signature for HRD in PCa (HRD-P).

Methods: By using an established mutational signature, we created and validated HRD-P in six independent PCa cohorts (primary PCa, n = 8224; metastatic castration-resistant PCa [mCRPC], n = 328). Molecular and clinical features were compared between HRD-P+ tumors and those with single HR-gene mutations.

Results: HRD-P+ tumors were more common than tumors with single HR-gene mutations in primary (201/491, 41% vs 32/491 6.5%) and mCRPC (126/328, 38% vs 82/328, 25%) cases, and HRD-P+ was more predictive of genomic instability suggestive of HRD. HRD-P+ was associated with a shorter time to recurrence following surgery and shorter overall survival in men with mCRPC. In a prospective trial of mCRPC treated with olaparib (n = 10), all three men with HRD-P+ experienced prolonged (>330 days) PSA progression-free survival.

Conclusion: These results suggest transcriptomics can identify more patients that harbor phenotypic HRD than single HR-gene mutations and support further exploration of transcriptionally defined HRD tumors perhaps in conjunction with genomic markers for therapeutic application.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Homologous Recombination
  • Humans
  • Male
  • Prospective Studies
  • Prostatic Neoplasms, Castration-Resistant* / drug therapy
  • Prostatic Neoplasms, Castration-Resistant* / genetics
  • Prostatic Neoplasms, Castration-Resistant* / pathology
  • Transcriptome*

Substances

  • Biomarkers, Tumor