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Dataset Information

Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.


ABSTRACT:

Introduction

Abnormalities in ubiquitination-related pathways or systems are closely associated with various cancers, including cervical cancer (CC). However, the biological function and clinical value of ubiquitination-related genes (UbLGs) in CC remain unclear. This study aimed to explore key UbLGs associated with CC, construct a prognostic model, and investigate their potential clinical and immunological significance.

Methods

Differentially expressed genes (DEGs) between CC (tumor) and standard samples in self-sequencing and TCGA-GTEx-CESC datasets were identified using differential analysis. We identified overlaps between DEGs in both datasets and UbLGs, revealing key crossover genes. Subsequently, biological markers were identified via univariate Cox regression analysis

SUBMITTER: Jin G 

PROVIDER: S-EPMC12343280 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature