Related Experiment Video

Updated: Jun 26, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Circular RNAs modulate cancer drug resistance: advances and challenges

Jinghan Hua1,2, Zhe Wang2, Xiaoxun Cheng2,3

  • 1The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China.

Cancer Drug Resistance (Alhambra, Calif.)
|April 9, 2025
PubMed

Insights

Circular RNAs (circRNAs) show promise in overcoming cancer drug resistance. Targeting these stable molecules may improve cancer therapy effectiveness and outcomes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Acquired drug resistance significantly contributes to cancer therapy failure and mortality.
  • Novel therapeutic targets are crucial for improving cancer treatment efficacy.
  • Circular RNAs (circRNAs) are stable RNA molecules with potential clinical applications.

Purpose of the Study:

  • To summarize recent research on circRNAs and their role in cancer drug resistance.
  • To explore the potential of circRNAs as biomarkers and therapeutic targets in oncology.

Main Methods:

  • Literature review of recently studied circRNAs.
  • Analysis of regulatory roles of circRNAs in various cancer treatment resistance mechanisms.
  • Consideration of artificial intelligence (AI) in circRNA research.

Main Results:

  • Aberrantly expressed circRNAs are linked to resistance across diverse cancer therapies (targeted, chemo-, radio-, immunotherapy).
  • circRNAs demonstrate unique advantages due to their stability.
  • AI-driven bioinformatics enhances the study of circRNAs.

Conclusions:

  • Targeting aberrant circRNAs presents a viable strategy to enhance cancer therapy efficacy.
  • circRNAs are emerging as promising biomarkers and intervention targets for overcoming cancer drug resistance.
  • AI advancements are accelerating the discovery and application of circRNAs in cancer therapy.
Keywords:
AI-based bioinformatics algorithmsCircRNAsDrug resistancebiomarkerscancer therapy

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