Genomic Correlates of DNA Damage in Breast Cancer Subtypes

Esther Cabañas Morafraile1, Javier Pérez-Peña2, Jesús Fuentes-Antrás1

  • 1Experimental Therapeutics Unit, Hospital Clínico San Carlos (HCSC), Instituto de Investigación Sanitaria San Carlos (IdISSC) and Centro de Investigación Biomédica en Red en Oncología (CIBERONC), 28040 Madrid, Spain.

Cancers
|April 30, 2021
PubMed

Insights

Identifying new biomarkers for DNA repair in breast cancer is crucial. This study found specific gene signatures linked to aggressive disease and poor prognosis, aiding in treatment stratification.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Targeting DNA repair mechanisms, like with PARP inhibitors, is a growing strategy in breast cancer treatment.
  • Biomarker identification beyond BRCA1/BRCA2 mutations is needed to select patients with high dependence on DNA repair.

Purpose of the Study:

  • To identify novel gene expression biomarkers within DNA damage response pathways that correlate with breast cancer prognosis.
  • To find gene signatures indicative of aggressive phenotypes and worse patient outcomes.

Main Methods:

  • Gene set enrichment analysis (GSEA) on public breast cancer datasets to identify upregulated genes.
  • Validation of gene alterations using cBioportal and correlation with prognosis via Kaplan-Meier plotter.
  • Selection of a gene signature meeting criteria across all breast cancer molecular subtypes.

Main Results:

  • Several DNA damage response pathway genes were found to be upregulated in breast cancer.
  • Nineteen genes were amplified and upregulated; five genes (NBN, PRKDC, RFWD2, UBE2T, YWHAZ) were consistently identified across subtypes.
  • Upregulation of the selected gene signature correlated with poorer relapse-free and overall survival.

Conclusions:

  • Genomic alterations within the DNA damage repair pathway serve as prognostic biomarkers in breast cancer.
  • The identified gene signature can indicate a more aggressive tumor phenotype and predict worse outcomes.
  • These findings support the stratification of therapeutic decisions based on DNA repair pathway biomarkers.

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