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Dataset Information

Construction and verification of a prognostic model for cervical cancer based on genes associated with the p53 regulatory pathway.


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 SMYD2 among genes related to the p53 regulatory pathway in CESC.

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 survi

SUBMITTER: Wu Z 

PROVIDER: S-EPMC12605145 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature