Lymph node metastasis-related gene signature shows good performance in predicting prognosis and immune infiltration in cervical cancer.

ABSTRACT:

Aims

This study aimed to construct a lymph node metastasis-related gene signature to predict prognosis and immune infiltration in patients with cervical cancer.

Methods

Clinical and RNA sequencing data of 193 patients with cervical cancer, which were divided into lymph node metastasis (N1) and non-lymph node metastasis (N0) groups, were acquired from TCGA. Differentially expressed genes (DEGs) between the N1 and N0 groups were detected, and protein-protein interaction combined with LASSO analysis was conducted to further screen lymph node metastasis-related genes. Univariate and multivariate Cox regression analyses were performed to establish a predictive signature. The genetic features, potential biological behavior, and immune infiltration characteristics of the predictive

SUBMITTER: Guo Y 

PROVIDER: S-EPMC10325684 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature