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Updated: Apr 28, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
Published on: March 1, 2024
A Pan-Cancer Transcriptomic Signature for Conserved Molecular Programs Underlying Premalignant-Malignant Progression
Kimia Sadat Kazemi1, Marta Miyazawa2, João Adolfo Costa Hanemann2
1College of Dentistry, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Researchers identified a 45-gene signature conserved across epithelial cancers, applicable to oral potentially malignant disorders (OPMDs). This discovery offers potential biomarkers for early oral cancer detection and risk stratification.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Oral squamous cell carcinoma (OSCC) often develops from oral potentially malignant disorders (OPMDs).
- Predictive molecular biomarkers for malignant transformation in OPMDs are currently limited.
- Conserved transcriptional pathways across epithelial cancers may offer insights into early oral tumorigenesis.
Purpose of the Study:
- To identify shared transcriptional signatures across various carcinomas.
- To evaluate the applicability of these signatures to the progression from precancerous lesions to carcinoma.
- To discover novel biomarkers for early detection and risk stratification of oral precancer.
Main Methods:
- Utilized bulk RNA-sequencing data from The Cancer Genome Atlas (TCGA) for five carcinoma types.
- Identified shared differentially expressed genes (DEGs) using stringent statistical criteria.
- Analyzed independent Gene Expression Omnibus (GEO) datasets with premalignant and malignant samples, including OPMD and OSCC cohorts.
Main Results:
- A conserved 45-gene signature was identified, enriched in transcriptional regulation and chromatin organization pathways.
- Key regulatory genes (e.g., ZIC5, MYBL2) and cancer-testis antigens were significantly upregulated.
- Thirteen genes showed consistent dysregulation from normal tissue through OPMD to OSCC, indicating stable biomarker potential.
Conclusions:
- Identified conserved transcriptional programs across epithelial cancers that are also detectable in OPMDs.
- These conserved programs highlight promising biomarker candidates for early oral precancer detection.
- Findings address a critical need for improved risk stratification and management of OSCC.
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