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Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer by Kunqiao Hong; Qian Yang; Haisen Yin; Na Wei; Wei Wang; Baoping Yu is a Medicine article available to read on EtoBox.

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## 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 the prognostic value of the six-gene signature using GSE53624 dataset. The different immune status was observed in the single sample Gene Set Enrichment Analysis (ssGSEA). Finally, real-time quantitative PCR was used to detect the expression of six prognostic ZNF genes in twelve pairs of ESCA and adjacent normal tissues. ## Results A six prognosis-related ZNF family genes model consisted of ZNF91, ZNF586, ZN

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Author

Kunqiao Hong; Qian Yang; Haisen Yin; Na Wei; Wei Wang; Baoping Yu

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Medicine (Health Sciences)