Meta-analysis of microarray data to determine gene indicators involved in the cisplatin resistance in ovarian cancer

Somayeh Hashemi Sheikhshabani1,2, Zeinab Amini-Farsani2, Nesa Kazemifard3

  • 1Student Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

PubMed
Abstract

Insights

This study identified key genes and pathways involved in cisplatin resistance in ovarian cancer. Findings highlight the role of PI3K/AKT signaling, ion channels, and cell adhesion proteins in chemoresistance.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Cisplatin resistance in ovarian cancer is a significant clinical challenge.
  • Understanding the molecular mechanisms of chemoresistance is crucial for developing effective treatments.

Approach:

  • A meta-analysis of six ovarian cancer gene expression datasets was performed.
  • Differential gene expression analysis identified 261 significantly altered genes in cisplatin-resistant versus sensitive ovarian cancer.
  • Bioinformatic tools including R packages (SVA, ggplot2, LIMMA) were utilized for data processing and analysis.

Key Points:

  • Upstream regulators of the PI3K/AKT signaling pathway (PITX2, SNCA, EPHA7, TMEM98) were identified as crucial in chemoresistance.
  • Dysregulation of ion channels (KCa1.1, Kv4, CACNB4) and cell adhesion proteins (COL4A6, EPHA3, CD9) were also observed.
  • These molecular alterations impact cell proliferation, survival, apoptosis, and cell adhesion.

Conclusions:

  • The PI3K/AKT signaling pathway, ion channels, and cell adhesion proteins are critical players in ovarian cancer cisplatin resistance.
  • These findings offer potential therapeutic targets for reversing chemoresistance.

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