AI Article Synopsis
- The study investigates the link between oral submucous fibrosis (OSF) and buccal squamous cell carcinoma (BSCC) in South and Southeast Asia, focusing on identifying protein biomarkers for better diagnosis and prognosis.
- Using quantitative proteomics, researchers compared proteins from normal oral mucosa, OSF, and BSCC samples to find significant differences in expression, identifying 30 proteins in total.
- Two proteins, ANXA4 and FLNA, were consistently found to be upregulated in BSCC, indicating they could be useful biomarkers for disease prognosis and potential therapeutic targets.
Article Abstract
Background: In South and Southeast Asian, the majority of buccal squamous cell carcinoma (BSCC) can arise from oral submucous fibrosis (OSF). BSCCs develop in OSF that are often not completely resected, causing local relapse. The aim of our study was to find candidate protein biomarkers to detect OSF and predict prognosis in BSCCs by quantitative proteomics approaches.
Methods: We compared normal oral mucosa (NBM) and paired biopsies of BSCC and OSF by quantitative proteomics using isobaric tags for relative and absolute quantification (iTRAQ) to discover proteins with differential expression. Gene Ontology and KEGG networks were analyzed. The prognostic value of biomarkers was evaluated in 94 BSCCs accompanied with OSF. Significant associations were assessed by Kaplan-Meier survival and Cox-proportional hazards analysis.
Results: In total 30 proteins were identified with significantly different expression (false discovery rate < 0.05) among three tissues. Two consistently upregulated proteins, ANXA4 and FLNA, were validated. The disease-free survival was negatively associated with the expression of ANXA4 (hazard ratio, 3.4; P = 0.000), FLNA (hazard ratio, 2.1; P = 0.000) and their combination (hazard ratio, 8.8; P = 0.002) in BSCCs.
Conclusion: The present study indicates that iTRAQ quantitative proteomics analysis for tissues of BSCC and OSF is a reliable strategy. A significantly up-regulated ANXA4 and FLNA could be not only candidate biomarkers for BSCC prognosis but also potential targets for its therapy.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971621 | PMC |
| http://dx.doi.org/10.1186/s12885-016-2650-1 | DOI Listing |
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