Integrated DNA and RNA Sequencing Reveals Drivers of Endocrine Resistance in Estrogen Receptor-Positive Breast Cancer

Youli Xia1,2,3, Xiaping He3, Lorna Renshaw4

  • 1Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Abstract

Insights

Endocrine therapy resistance in breast cancer involves diverse genomic and transcriptomic changes. Overcoming this challenge requires personalized treatment strategies based on individual patient biomarkers.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Endocrine therapy resistance (ETR) is a major obstacle in treating hormone receptor-positive breast cancer.
  • Understanding the molecular underpinnings of ETR is crucial for developing effective treatments.

Purpose of the Study:

  • To identify molecular mechanisms driving ETR in breast cancer.
  • To analyze genomic and transcriptomic profiles of tumors from patients with varying responses to endocrine therapy.

Main Methods:

  • Whole-exome and RNA sequencing of 169 tumor samples from 35 patients with estrogen receptor-positive breast cancer.
  • Analysis of DNA mutations, copy-number alterations, and gene expression.
  • Comparison of molecular profiles between resistant and sensitive tumors.

Main Results:

  • Enrichment of ESR1 and GATA3 mutations in ETR, including known (D538G) and novel (E380Q) ESR1 variants.
  • Distinct gene expression profiles in acquired resistance, with elevated ER, HER2, GATA3, AKT, RAS, and p63 signaling pathways.
  • Identification of diverse ETR mechanisms through integrated patient-level analysis.

Conclusions:

  • ETR is driven by multiple, diverse somatic genetic and transcriptomic alterations.
  • An individualized approach using genomic biomarkers and tailored drugs is necessary to overcome resistance.