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Updated: Oct 17, 2025

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RNA-Seq based transcriptome analysis in oral lichen planus.

Haoyu Wang1, Yiwen Deng2, Siqi Peng3

  • 1Department of Dermatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Hereditas
|October 7, 2021
PubMed
Summary

This study reveals key gene pathways in oral lichen planus (OLP), a condition with potential for malignancy. Findings highlight T cell regulation and Wnt signaling as crucial targets for OLP treatment.

Keywords:
Oral lichen planusPathogenesisRNA sequencingWeighted gene co-expression network analysis

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Area of Science:

  • Immunology
  • Genomics
  • Oral Pathology

Background:

  • Oral lichen planus (OLP) is an autoimmune disorder affecting the oral mucosa.
  • It is recognized as an oral potential malignant disorder (OPMD).
  • The precise pathogenic mechanisms of OLP remain largely unknown.

Purpose of the Study:

  • To investigate the transcriptional profiles of OLP tissues.
  • To elucidate the potential pathogenesis of OLP through gene expression analysis.
  • To identify key molecular targets for OLP therapy.

Main Methods:

  • RNA sequencing was performed on matched OLP and normal oral mucosal tissues.
  • Bioinformatic analyses included Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and weighted gene co-expression network analysis (WGCNA).
  • Differentially expressed genes (DEGs) and hub genes were validated using qRT-PCR.

Main Results:

  • A total of 153 DEGs were identified between OLP and normal tissues.
  • Enrichment analyses indicated significant involvement of T cell-related pathways and Wnt signaling.
  • WGCNA identified 5 key modules containing hub genes crucial for OLP pathogenesis.

Conclusions:

  • RNA sequencing and bioinformatics provide valuable insights into OLP biology.
  • Identified DEGs and hub genes are associated with T cell regulation, inflammation, and Wnt signaling.
  • These findings suggest potential novel molecular therapeutic targets for OLP.