Genetic variants in immune mediators as potential molecular biomarkers for oral cancer evaluation: Insights from a systematic revaluation by computational analyses and Bayesian approaches

Genetic variants in immune mediators as potential molecular biomarkers for oral cancer evaluation: Insights from a systematic revaluation by computational analyses and Bayesian approaches

Background: Oral cancer is a complex disease in which genetic variations in immune mediator play a relevant role in its pathophysiology. This study aimed at assessing the level of false-positive rates on meta-analytic data on genetic variations in immune mediator genes related with oral cancer risk....

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Main Authors: Juliana Campos Botelho, Samuel Arcebispo Brasileiro, André Victor Oliveira Monteiro, Alessandro Luiz Araújo Bentes Leal, Naum Neves da Costa dos Santos, Gabrielly Ribeiro Alves, Reyce Santos Koga, Haline Alves da Silva, José Rogério Souza Monteiro, Denis Vieira Gomes Ferreira, Adenilson Leão Pereira, Ana Carolina Alves de Oliveira, Márcia Socorro Silva Lima Duarte, Felipe Rodolfo Pereira da Silva
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Oral Oncology Reports
Subjects:
Oral neoplasms
Cytokine
Risk factors
Alleles
Online Access:http://www.sciencedirect.com/science/article/pii/S2772906025000172
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Summary:Background: Oral cancer is a complex disease in which genetic variations in immune mediator play a relevant role in its pathophysiology. This study aimed at assessing the level of false-positive rates on meta-analytic data on genetic variations in immune mediator genes related with oral cancer risk. Material and methods: A systematic search was performed for meta-analyses in this field that were published before September 22, 2024. The calculations for the False-Positive Rate Probability (FPRP) and the Bayesian False Discovery Probability (BFDP) were performed to assess the noteworthiness with a statistical power of 1.2 and 1.5 of Odds Ratio (OR) at a prior probability of 10−3 and 10−6. A methodological evaluation by the Venice criteria was performed and in silico networks were designed. Results: Ten meta-analyses on the TNFA/rs361625/rs1800629, VEGF/rs3025039, IL4/rs2070874, IL6/rs1800795, IL8/rs4073 and IL10/rs1800896 genes/polymorphisms and oral cancer have been included. 88 significant OR association values from the meta-analyses included allowed the performance of 336 calculations for FPRP and 176 for BFDP. We found 35 noteworthy values (10.42 %) for FPRP and 59 noteworthy values (33.52 %) for BFDP that demonstrated the variants in VEGF and IL10 with noteworthiness association with oral cancer. The gene-gene and protein-protein networks evidenced the role of VEGF, TNFA, IL4, IL6, IL8 and IL10 genes in the physiopathology of the disease. Conclusions: The Bayesian calculations and the in-silico analyses indicated the rs3025039 and rs1800896 polymorphisms in the VEGF and IL10 genes, respectively, as noteworthy molecular biomarkers for oral cancer risk evaluation.
ISSN:2772-9060

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