Single-Hit and Multi-hit PIK3CA Short Variant Genomic Alterations in Clinically Advanced Prostate Cancer: A Genomic

Michael F Basin1, Carla M Miguel1, Joseph M Jacob1

  • 1Department of Urology, Upstate Medical University, 750 East Adams St., Syracuse, NY, 13210, USA.

Targeted Oncology
|October 5, 2024
PubMed
Abstract

Insights

Multi-hit PIK3CA alterations in advanced prostate cancer are linked to more driver genomic alterations and may predict response to targeted therapies. This finding supports new clinical trial designs for PIK3CA-targeted treatments.

Area of Science:

  • Oncology
  • Genomics
  • Cancer Therapeutics

Background:

  • Multi-hit PIK3CA mutations correlate with better outcomes in breast cancer patients treated with anti-PIK3CA therapies.
  • The genomic profile and clinical relevance of multi-hit PIK3CA alterations in advanced prostate cancer are not well understood.

Purpose of the Study:

  • To investigate the genomic landscape of single-hit and multi-hit PIK3CA genomic alterations in clinically advanced prostate cancer (CAPC).

Main Methods:

  • Utilized the FoundationCore database to analyze comprehensive genomic profiling data from 19,978 CAPC tumors.
  • Assessed all classes of genomic alterations (GA), tumor mutational burden (TMB), microsatellite instability (MSI), and homologous recombination deficiency (HRD) signatures.
  • Determined PD-L1 expression via immunohistochemistry (IHC).

Main Results:

  • Multi-hit PIK3CA alterations were found in 0.4% of CAPC tumors, while single-hit alterations were present in 5.8%.
  • Both single-hit and multi-hit PIK3CA alterations were associated with more driver GAs, higher TMB, and increased prevalence of MMR mutational signatures and MSI-high status compared to PIK3CA wild-type tumors.
  • Specific co-occurring GAs included BRCA2 and ATM in multi-hit PIK3CA cases, and PTEN in single-hit cases. HRD signatures were higher in PIK3CA wild-type tumors.

Conclusions:

  • The presence of multi-hit PIK3CA genomic alterations in CAPC suggests a distinct tumor phenotype.
  • This phenotype may indicate sensitivity to anti-PIK3CA targeted therapies and checkpoint inhibitors.
  • Findings support the design of clinical trials investigating these targeted therapies in CAPC.