Insight into the emerging role of long non-coding RNAs in BRAF inhibitor resistance in melanoma

Vikas Yadav1, Manoj Kumar Jena2, Tejveer Singh3

  • 1Department of Translational Medicine, Clinical Research Centre, Skåne University Hospital, Lund University, Malmö, Sweden.

Frontiers in Oncology
|April 15, 2026
PubMed

Insights

Long noncoding RNAs (lncRNAs) are emerging as key players in melanoma BRAF inhibitor (BRAFi) resistance. Understanding lncRNA roles can reveal new therapeutic strategies and prognostic markers for BRAFi-treated melanoma patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Melanoma, the deadliest skin cancer, is increasingly common globally.
  • BRAF mutations are prevalent in melanoma, and targeted therapies (BRAFi) improve survival.
  • Acquired resistance to BRAFi is a major clinical challenge, with underlying mechanisms under investigation.

Purpose of the Study:

  • To summarize the current understanding of long noncoding RNAs (lncRNAs) in acquired resistance to BRAF inhibitors (BRAFi) in melanoma.
  • To explore the dual role of lncRNAs in either restoring sensitivity or conferring resistance to BRAFi.
  • To discuss the potential of lncRNAs as prognostic biomarkers for BRAFi therapy response and resistance.

Main Methods:

  • Literature review and synthesis of recent research findings.
  • Analysis of studies investigating lncRNA expression profiles in melanoma.
  • Examination of functional studies on lncRNAs in the context of BRAFi treatment.

Main Results:

  • lncRNAs are implicated in the development and progression of melanoma.
  • Specific lncRNAs can either re-sensitize melanoma cells to BRAFi or promote resistance.
  • lncRNA expression patterns correlate with treatment response and resistance.

Conclusions:

  • lncRNAs represent a critical, yet underexplored, factor in BRAFi resistance in melanoma.
  • Targeting lncRNAs may offer novel therapeutic avenues to overcome BRAFi resistance.
  • lncRNAs hold promise as predictive biomarkers for patient stratification and treatment selection in melanoma.

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