Identification and validation of a novel senescence-related biomarker for thyroid cancer to predict the prognosis and immunotherapy.

ABSTRACT:

Introduction

Cellular senescence is a hallmark of tumors and has potential for cancer therapy. Cellular senescence of tumor cells plays a role in tumor progression, and patient prognosis is related to the tumor microenvironment (TME). This study aimed to explore the predictive value of senescence-related genes in thyroid cancer (THCA) and their relationship with the TME.

Methods

Senescence-related genes were identified from the Molecular Signatures Database and used to conduct consensus clustering across TCGA-THCA. Differentially expressed genes (DEGs) were identified between the clusters used to perform multivariate Cox regression and least absolute shrinkage and selection operator regression (LASSO) analyses to construct a senescence-related signature. TCGA dataset was ran

SUBMITTER: Hong K 

PROVIDER: S-EPMC9902917 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature