Comprehensive Analysis of Transcriptomics and Genetic Alterations Identifies Potential Mechanisms Underlying

Zihao Liu1,2, Jingbo Gao1, Ran Gu1

  • 1Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.

Biomolecules
|December 23, 2022
PubMed

Insights

Understanding anthracycline resistance in breast cancer is key. This study identified key gene expression changes and mutations, revealing potential molecular mechanisms for improved treatment strategies.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Anthracyclines are vital for breast cancer treatment.
  • Anthracycline resistance significantly hinders treatment efficacy.
  • Identifying resistance mechanisms is crucial for overcoming treatment failure.

Purpose of the Study:

  • To elucidate the molecular mechanisms of anthracycline resistance in breast cancer.
  • To identify differentially expressed genes and genetic alterations associated with resistance.
  • To explore the role of immune infiltration in anthracycline resistance.

Main Methods:

  • Integration of The Cancer Genome Atlas (TCGA) transcriptome, genetic, and clinical data.
  • Differential gene expression analysis between sensitive and resistant groups.
  • Gene Set Enrichment Analysis (GSEA) and mutation analysis.

Main Results:

  • Identified 204 upregulated and 1376 downregulated genes in resistant vs. sensitive breast cancer.
  • Found upregulation of drug resistance genes (e.g., ABCB5, CYP1A1, CYP4Z1) in resistant tumors.
  • Associated P53 signaling, DNA replication, and metabolism pathways with sensitivity; noted TP53 mutations in sensitive and CDH1 in resistant groups.
  • Observed distinct immune infiltration patterns, with higher immune-related gene expression in the sensitive group.

Conclusions:

  • Uncovered potential molecular drivers of anthracycline resistance in breast cancer.
  • Highlighted the role of specific genes, pathways, and mutations in mediating resistance.
  • Suggested that immune infiltration patterns differ significantly between sensitive and resistant breast cancer, offering therapeutic targets.

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