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Updated: Jun 6, 2026

Multi-Gene Single Nucleotide Polymorphism Detection in Gastric Cancer Based on Ion Semiconductor Sequencing Platform
Published on: May 10, 2024
Survivin -31C/G polymorphism and gastric cancer risk in a Brazilian population
Bárbara do Nascimento Borges1, Rommel Rodriguez Burbano, Maria Lúcia Harada
1Laboratório de Biologia Molecular "Francisco Mauro Salzano", Instituto de Ciências Biológicas, Universidade Federal do Pará, Cidade Universitária Belém, Pará, Brazil. bnborges@ufpa.br
Abstract:
Gastric cancer, despite its decline in incidence, remains a public health problem worldwide, especially in Brazil, where higher incidence indexes are still described. The Survivin gene codifies a multifunctional protein involved in the regulation of the cell cycle and inhibition of the apoptotic pathway, and a polymorphism (-31C/G) located in its promoter region is associated with gene regulation. In order to evaluate the correlation of this polymorphism with gastric cancer risk in a northern Brazil population, we sequenced a fragment containing the polymorphism in individuals with gastric cancer and controls. We observed no differences of alleles and genotype frequencies between cases and controls. However, G carriers of the tumor group had an increased relative risk of developing tumors of diffuse type (OR: 2.22-IC 95%: 0.4835-10.2137), localized in the antrum (OR: 2.16-IC 95%: 0.4811-9.6971) and in younger patients (<50 years-old) (OR: 3.65-IC 95%: 0.4012-33.2429), although with no statistical significance. Nevertheless, C carriers with a high D17S250 microsatellite instability (TP53 gene) show a higher risk to develop gastric tumors (P = 0.0453; OR: 4.1556-IC95%: 0.9716-17.7728), suggesting that the mutate TP53 gene may fail in control and inhibition of Survivin expression, favoring the gastric carcinogenesis. The present result suggests that the presence of the C allele of -31C/G Survivin promoter polymorphism in combination with D17S250 instability may be used as a risk factor for gastric cancer in our population. However, other studies based on a larger sample size are required to properly assess such hypothesis.
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