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Kim, D. W., Lee, S., Kwon, S., Nam, W., Cha, I. H., & Kim, H. J. (2019). Deep learning-based survival prediction of oral cancer patients. Scientific reports, 9(1), 6994.

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Mutational Difference between the Microsatellite BAT 26 and the TP53 Coding Gene and Survival of Patients with Oral Cavity Cancers in Senegal

1Genomics Laboratory, Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal


American Journal of Cancer Prevention. 2025, Vol. 12 No. 1, 9-14
DOI: 10.12691/ajcp-12-1-2
Copyright © 2025 Science and Education Publishing

Cite this paper:
Mame Diarra Samb, Mbacke Sembene. Mutational Difference between the Microsatellite BAT 26 and the TP53 Coding Gene and Survival of Patients with Oral Cavity Cancers in Senegal. American Journal of Cancer Prevention. 2025; 12(1):9-14. doi: 10.12691/ajcp-12-1-2.

Correspondence to: Mame  Diarra Samb, Genomics Laboratory, Department of Animal Biology, Faculty of Science and Technology, Cheikh Anta Diop University, Dakar, Senegal. Email: mamediarra1.samb@ucad.edu.sn

Abstract

Oral cancers primarily present as oral squamous cell carcinoma and are a subgroup of head and neck cancers (HNC). The objective of this study was to identify mutational differences and assess the survival of Senegalese patients with oral cavity cancers. A total of 75 tissue samples from patients and 40 blood samples from healthy controls were analyzed. DNA extraction, polymerase chain reaction (PCR), and sequencing were performed to obtain genetic sequences. The software BioEdit and DnaSP were used to analyze polymorphism and genetic diversity in patients. Chromatograms from the BAT 26 microsatellite and the TP53 gene were compared to the consensus sequence and the TP53 reference sequence, respectively, using Mutation Surveyor software. The multivariate Cox analysis was performed using R software, and the impact of BAT 26 instability on patient survival was evaluated using the Kaplan–Meier method with StatView software. The results revealed greater genetic diversity in the TP53 gene than in BAT 26, particularly in terms of the number of polymorphic and informative sites. Furthermore, microsatellite instability appeared to lead to the accumulation of a specific TP53 mutation (c.640C>G p.His214Asp). This study indicates that Senegalese patients with oral cavity cancers harbor more TP53 mutations than BAT 26 mutations. However, BAT 26 instability appeared to confer a survival advantage to patients.

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