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Article

Cluster classification of a Brazilian gastric cancer cohort reveals remarkable populational differences in normal p53 rate.

Einstein (Sao Paulo, Brazil) - 1 Jan 2024

Queiroz Fábio Ribeiro, Braga Letícia da Conceição, Melo Carolina Pereira de Souza, Gomes Matheus de Souza, Amaral Laurence Rodrigues do, Salles Paulo Guilherme de Oliveira

Abstract excerpt

BACKGROUND: Queiroz et al. showed that the application of cluster methodology for classifying gastric cancer is suitable and efficient within a Brazilian cohort, which is known for its population heterogeneity. The study highlighted the potential utilization of this method within public health services due to its low-cost, presenting a viable means to improve the diagnosis and prognosis of gastric cancer....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 39356938
DOI: 10.31744/einstein_journal/2024AO0508
PMCID: PMC11461015

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