Long Non-coding RNA and mRNA Co-expression Network Reveals Novel Players in Pleomorphic Xanthoastrocytoma

Iman Dandapath1, Rahul Gupta2, Jyotsna Singh1

  • 1Neuropathology Laboratory, All India Institute of Medical Sciences, Neurosciences Centre, New Delhi, 110029, India.

Insights

This study reveals key gene and long non-coding RNA (lncRNA) signatures in pleomorphic xanthoastrocytoma (PXA) patients for the first time. These findings identify potential biomarkers and therapeutic targets, advancing RNA biology in PXA treatment.

Area of Science:

  • Neuro-oncology
  • Molecular Biology
  • Genomics

Background:

  • Pleomorphic xanthoastrocytoma (PXA) is a rare brain tumor with limited treatment options due to a lack of molecular data.
  • Gene expression profiling is crucial for understanding PXA/anaplastic PXA (APXA) pathogenesis and developing targeted therapies.

Purpose of the Study:

  • To comprehensively analyze the coding and long non-coding RNA (lncRNA) signatures in PXA/APXA patients.
  • To identify potential molecular biomarkers and therapeutic targets for PXA.

Main Methods:

  • Genome-wide analysis of coding and lncRNA expression profiles in PXA/APXA patients.
  • Protein-protein interaction (PPI) network, co-expression, and lncRNA-mRNA interaction analyses.
  • Pathway enrichment analysis and correlation with progression-free survival.

Main Results:

  • Identified deregulated genes (e.g., ERBB2, FOS, RPA1) and lncRNAs (e.g., NEAT1, HOTAIRM1, GAS5) common in gliomas.
  • Unraveled key hub genes and networks involved in PXA biology, enriched in pathways like MAPK and PI3K-Akt signaling.
  • Discovered novel lncRNA-mRNA interactions and identified specific lncRNAs and genes (e.g., RPA1, NTRK3) strongly correlated with progression-free survival.

Conclusions:

  • This study provides the first comprehensive RNA signature analysis for PXA/APXA.
  • Identified potential diagnostic and prognostic biomarkers, including specific lncRNAs and genes.
  • Findings pave the way for novel RNA-based therapeutic strategies and highlight the clinical significance of RNA biology in PXA.

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