Association of Circular RNA and Long Non-Coding RNA Dysregulation with the Clinical Response to Immune Checkpoint

Javier Oliver1, Juan Luis Onieva1,2, Maria Garrido-Barros1,2

  • 1Medical Oncology Intercenter Unit, Translational Research in Cancer Immunotherapy Group, Regional and Virgen de la Victoria University Hospitals, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma Bionand, 29010 Malaga, Spain.

Biomedicines
|October 27, 2022
PubMed

Insights

Specific long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) may predict immunotherapy response in metastatic melanoma. This study identified RNA biomarkers and a risk score to predict patient survival, offering insights into treatment resistance.

Area of Science:

  • Oncology
  • Molecular Biology
  • Immunology

Background:

  • Metastatic cutaneous melanoma (CM) has poor prognosis, with immunotherapy offering improved survival.
  • Immune checkpoint inhibitors (ICIs) like PD-1 and CTLA-4 are effective but resistance is common.
  • The role of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in ICI resistance in CM is unexplored.

Purpose of the Study:

  • To investigate lncRNA and circRNA expression variability as predictors of immunotherapy response in metastatic CM patients.
  • To identify specific RNA transcripts associated with clinical response to nivolumab treatment.
  • To develop a predictive risk score for patient survival outcomes.

Main Methods:

  • RNA sequencing (RNA-seq) of 12 formalin-fixed paraffin-embedded (FFPE) metastatic melanoma biopsies.
  • Analysis of lncRNA and circRNA expression profiles in patients treated with nivolumab.
  • Development and validation of a risk score for overall survival (OS) and progression-free survival (PFS).

Main Results:

  • Identified specific lncRNAs and circRNAs associated with response to nivolumab immunotherapy.
  • Findings suggest these RNAs, potentially acting as competitive endogenous RNAs (ceRNAs), modulate immune response.
  • A developed risk score accurately predicted OS and PFS in CMM patients.

Conclusions:

  • lncRNAs and circRNAs may serve as predictive biomarkers for immunotherapy response in metastatic CM.
  • ceRNAs are implicated in the regulatory networks of immune response to ICIs in melanoma.
  • This study provides a foundation for understanding molecular mechanisms of ICI resistance and developing novel predictive tools.

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