A machine learning approach to a nine-SNP immunogenetic score for prognostic stratification in cervical cancer.

doi:10.3389/fimmu.2026.1759674

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A machine learning approach to a nine-SNP immunogenetic score for prognostic stratification in cervical cancer.

Frontiers in immunology - 1 Jan 2026

Zidi Sabrina, Yacoubi-Loueslati Besma, Ben Abdelmoumen Mardassi Boutheina, Almawi Wassim Y

Abstract excerpt

Background: While human papillomavirus (HPV) is the primary driver of cervical cancer (CC), host immune-related genetic variations are thought to influence clinical heterogeneity. The role of combined immune-related single nucleotide polymorphisms (SNPs) in defining patient subgroups remains underexplored in focused, candidate-gene studies. Methods: We genotyped nine functional SNPs across TNF-α (rs361525,...

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PMID: 41727446
DOI: 10.3389/fimmu.2026.1759674
PMCID: PMC12920438

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