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Updated: Oct 25, 2025

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

Published on: December 9, 2016

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Non-coding RNAs as Novel Biomarkers in Cancer Drug Resistance

Haixiu Yang1, Changlu Qi1, Boyan Li1

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Current Medicinal Chemistry
|August 5, 2021
PubMed

Insights

Non-coding RNAs (ncRNAs) significantly influence cancer chemotherapy resistance by affecting various cellular processes. This review highlights computational methods for identifying ncRNA biomarkers to overcome chemoresistance and personalize cancer treatments.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Chemotherapy is a cornerstone of cancer treatment, but drug resistance limits its efficacy.
  • Non-coding RNAs (ncRNAs), including microRNAs and long non-coding RNAs, play crucial roles in the development of tumor cell chemoresistance.
  • Understanding ncRNA involvement is key to overcoming resistance and personalizing cancer therapy.

Purpose of the Study:

  • To review recent findings on ncRNA-mediated drug resistance in cancer.
  • To highlight computational methods and resources for identifying ncRNA biomarkers of chemoresistance.
  • To bridge the gap between experimental limitations and the need for efficient biomarker discovery.

Main Methods:

  • Literature review of recent studies on ncRNAs and chemoresistance.
  • Summary of ncRNA's functional roles in drug resistance mechanisms (apoptosis, drug efflux, EMT, DNA repair, cell cycle).
  • Overview of computational approaches and available resources for ncRNA biomarker identification.

Main Results:

  • ncRNAs are implicated in diverse chemoresistance mechanisms.
  • Computational methods offer a cost-effective and efficient alternative to experimental identification of ncRNA biomarkers.
  • Several computational tools and databases are available for exploring ncRNA-drug resistance associations.

Conclusions:

  • ncRNAs are critical regulators of chemotherapy resistance.
  • Identifying ncRNA biomarkers through computational approaches can advance personalized cancer treatment.
  • Further research integrating ncRNA data and computational tools is essential for improving anticancer drug efficacy.
Keywords:
computational methoddatabasedrug resistancelncRNAmiRNAncRNA

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