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Updated: Jul 19, 2025

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
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Systematic Analysis of the Therapy Resistance Genes and their Prognostic Relevance in Cervical Cancer

Sangavi Eswaran1, Mythili Padavu1, Dileep Kumar2,3

  • 1Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.

Current Pharmaceutical Design
|August 16, 2023
PubMed
Abstract

Insights

This study identified novel genes and pathways contributing to cervical cancer (CC) therapy resistance. These findings offer potential biomarkers and therapeutic targets for improving CC treatment outcomes.

Area of Science:

  • Genomics
  • Oncology
  • Molecular Biology

Background:

  • Therapy resistance and treatment failure are critical challenges in cervical cancer (CC) management.
  • Therapy resistance develops through complex genetic and epigenetic alterations.

Purpose of the Study:

  • To identify genes implicated in therapy resistance in cervical cancer (CC).
  • To explore the role of gene methylation and expression in CC prognosis and clinical outcomes.

Main Methods:

  • Text-mining approach to compile a list of therapy-resistant cancer genes.
  • Analysis of TCGA-CESC dataset to identify differentially expressed therapy resistance genes (DETRGs).
  • Utilized multiple online databases to assess gene methylation, expression, and clinical associations.

Main Results:

  • Identified 71 DETRGs with aberrant DNA methylation, with 25 showing an inverse methylation-expression correlation.
  • Differential expression or methylation patterns correlate with CC staging, HPV status, metastasis, and prognosis.
  • Discovered seven driver genes and ten hub genes associated with CC hallmarks and survival.

Conclusions:

  • Uncovered novel genes and pathways potentially driving CC therapy resistance.
  • Identified candidate genes that may function as biomarkers, prognostic indicators, and therapeutic targets for CC.
Keywords:
DETRGsHub genesTCGA-CESCTherapy resistancecervical cancerprognosis

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