ArticleTranslational cancer research2025
Construction and verification of a prognostic model for cervical cancer based on genes associated with the p53 regulatory pathway.
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Cervical squamous cell carcinoma (CESC) poses significant health risks, contributing to high mortality rates and economic burdens, particularly in developing countries. The p53 signaling pathway plays a crucial role in the initiation, progression, and treatment response of CESC. This study explored the role of Methods: A prognostic model for p53 regulatory pathway-related genes was established by performing least absolute shrinkage and selection operator (LASSO) regression analysis on the training cohort from The Cancer Genome Atlas (TCGA) dataset. By amalgamating the risk scores generated by the model with clinical characteristics, a nomogram was developed to assist in predicting overall survival (OS). In addition, we examined various associations concerning pathway enrichment, treatment modalities, immune cell infiltration, and the prognostic model itself. The functional role of the Results: We established a prognostic model that encompasses six genes: Conclusions: This study elucidates specific features associated with the p53 regulatory pathway, particularly
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