Multi-scale characterisation of homologous recombination deficiency in breast cancer

Daniel H Jacobson1,2, Shi Pan1, Jasmin Fisher2

  • 1UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK.

Genome Medicine
|November 3, 2023
PubMed
Abstract

Insights

Homologous recombination deficiency (HRD) in breast cancer can be better classified using small insertion/deletion events. A new transcriptional signature reveals HRD heterogeneity and its impact on the tumor microenvironment, aiding PARP inhibitor response prediction.

Area of Science:

  • Genomics and Molecular Biology
  • Cancer Research
  • Bioinformatics

Background:

  • Homologous recombination (HR) is a critical DNA repair pathway; deficiencies (HRD) are linked to PARP inhibitor sensitivity.
  • Current methods for identifying HRD using mutational signatures from exome sequencing have limitations in accuracy and temporal relevance.
  • Understanding HRD heterogeneity is crucial for effective cancer treatment strategies.

Purpose of the Study:

  • To develop and validate novel methods for characterizing homologous recombination deficiency (HRD) in breast cancer.
  • To explore the heterogeneity of HRD and its association with tumor microenvironment interactions.
  • To identify a transcriptional signature predictive of HRD status and PARP inhibitor response.

Main Methods:

  • Development of a likelihood-based classification method utilizing small insertion and deletion (indel) events from exome sequencing data.
  • Application of multinomial elastic net regression to create a transcriptional signature for heterogeneous HRD.
  • Validation of the transcriptional signature on single-cell RNA sequencing data for analyzing HRD heterogeneity and tumor microenvironment interactivity.

Main Results:

  • Inclusion of indel events significantly improved HRD classification accuracy in exome-sequenced breast cancers.
  • A 228-gene transcriptional signature was developed, capable of characterizing HRD and BRCA1/2 defect status, and predicting PARP inhibitor response.
  • The signature applied to single-cell data revealed distinct tumor microenvironment interactions in HRD cells, including altered responses to TNFα signaling.

Conclusions:

  • Multi-scale approaches combining mutational and transcriptional signatures provide robust characterization of HRD in breast cancer.
  • Indels are valuable for improving HRD classification from exome sequencing, and transcriptional signatures capture HRD heterogeneity at a single-cell level.
  • These findings enable deeper investigation into the interplay between DNA repair deficiencies and the tumor microenvironment, with implications for targeted therapies.