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DNTTIP1 is a Prognostic Biomarker Correlated With Immune Infiltrates in Hepatocellular Carcinoma: A Study Based on The Cancer Genome Atlas Data.

Authors :
Zhu, Changyu
Tong, Rongsheng
Jiang, Xiaolei
Xiao, Hua
Guan, Jianmei
Shu, Jianchen
Source :
Frontiers in Genetics; 2/21/2022, Vol. 13, p1-11, 11p
Publication Year :
2022

Abstract

Deoxynucleotidyltransferase terminal-interacting protein 1 (DNTTIP1) is involved in the deacetylation of p53 in regulating cell cycle and is associated with cancers at the molecular level. In this study, we evaluated the prognostic value in hepatocellular carcinoma (HCC) based on data from The Cancer Genome Atlas (TCGA) database. Kruskal–Wallis test, Wilcoxon signed-rank test, and logistic regression were used to evaluate the relationship between DNTTIP1 expression and clinicopathological features. Cox regression and the Kaplan–Meier method were adopted to evaluate prognosis-related factors. Gene set enrichment analysis (GSEA) was performed to identify the key pathways related to DNTTIP1. The correlations between DNTTIP1 and cancer immune infiltrates were investigated by single-sample Gene Set Enrichment Analysis (ssGSEA). DNTTIP1 was found to be upregulated with amplification in tumor tissues in multiple HCC cohorts. High DNTTIP1 expression was associated with poorer overall survival (OS) and disease-free survival (DFS). GSEA suggested that DNTTIP1 regulates the cell cycle mitotic, G1/S, and G2/M phases and Fc fragment of IgE receptor I (FCERI)–mediated NF-κB and MAPK pathway and Fc fragment of IgG receptor (FCGR) activation pathways. Notably, ssGSEA indicated that DNTTIP1 expression was positively correlated with infiltrating levels of Th2 cells, Tfh, NK CD56 bright cells, aDCs, T helper cells, Th1 cells, and macrophages. These findings suggest that DNTTIP1 is correlated with prognosis and immune infiltration in HCC, which lays a foundation for further study of the immune-regulatory role of DNTTIP1 in HCC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16648021
Volume :
13
Database :
Complementary Index
Journal :
Frontiers in Genetics
Publication Type :
Academic Journal
Accession number :
155378189
Full Text :
https://doi.org/10.3389/fgene.2021.767834