Objective: Oral squamous cell carcinoma (OSCC) is the most prevalent malignancy with late-presentation, site-specific heterogeneity, and high-propensity for recurrence/metastasis that has shown rise in mortality. Lately, research emphasize on dynamic interactions between tumor-cells and extracellular-matrix components within tumor-microenvironment that promote tissue integrity loss and carcinogenesis. Therefore, OSCC clinical-management is still challenging.
Design: Present study validated clinical utility of a 13 gene-panel in two chief sub-sites of OSCC: Buccal mucosa squamous cell carcinoma (BMSCC) (N = 50) and Tongue squamous cell carcinoma (TSCC) (N = 52) using qRT-PCR. Principal component analysis and binary logistic regression analysis were applied to acquire definite multi gene models. Protein expression analysis was employed using the Human Protein Atlas, UALCAN and TIMER 2.0 databases to explore potential correlation between immune cells and gene-panels.
Results: Significant up-regulation of CXCL8, CXCL10, FN1, GBP1, IFIT3, ISG15, MMP1, MMP3, MMP10, PLAU, SERPINE1 and SPP1 except OASL was observed in OSCC tissue in comparison of absolute normal controls. Although, this gene-panel could potentially discriminate OSCC tissues from absolute normal controls as solitarily diagnostic and/or predictive biomarkers, models generated also showed substantial discriminating efficacy. Eight-genes were found to be significantly associated with poor-prognosis on clinico-pathological association. Protein-expression confirmed overexpression of gene-panel and added advantage of being secretory-protein. Importantly, up-regulated genes in our study showed significant relation with immune-cells infiltration suggesting their contribution in immune-escape.
Conclusion: Thus, we propose that the 13 gene-panel could pave the way to effective and personalized clinical-management of OSCC in terms of diagnostic and prognostic measures and thereby as therapeutic targets.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.archoralbio.2024.105925 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!