Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer.

ABSTRACT:

Background

As a common malignant tumor, esophageal carcinoma (ESCA) has a low early diagnosis rate and poor prognosis. This study aimed to construct the prognostic features composed of ZNF family genes to effectively predict the prognosis of ESCA patients.

Methods

The mRNA expression matrix and clinical data were downloaded from TCGA and GEO database. Using univariate Cox analysis, lasso regression and multivariate Cox analysis, we screened six prognosis-related ZNF family genes to construct the prognostic model. We then used Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, and nomogram to evaluate the prognostic value within and across sets, separately and combined. We also validated th

SUBMITTER: Hong K 

PROVIDER: S-EPMC10069130 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature