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Multi-omics Analysis of Prognostic Significance and Immune Infiltration of FASTK Family Members in Kidney Renal Clear Cell Carcinoma.

Authors :
Guanghui Zhong
Dali Wu
Haiping Chen
Lingfei Yan
Qi Xiang
Yufeng Liu
Tao Wang
Source :
Evolutionary Bioinformatics; Jan-Dec2023, Vol. 19, p1-18, 18p
Publication Year :
2023

Abstract

OBJECTIVE: The Fas-activated serine/threonine kinase (FASTK) family of proteins has been recently found to be able to regulate mitochondrial gene expression post-transcriptionally. Nonetheless, there is a paucity of study about the role of the FASTK family in kidney renal clear cell carcinoma (KIRC). This study was conducted to explore the correlation of FASTK family genes with expression, prognosis, and immune infiltration in KIRC. METHODS: We collected the data from the UALCAN, GeneMANIA, STRING, CancerSEA, cBioPortal, Kaplan-Meier plotter, GEPIA, TISIDB and TIMER databases to evaluate the genetic alterations, differential expression, prognostic significance, and immune cell infiltration of FASTKs in patients with KIRC. RESULTS: In tumor tissues of KIRC, the mRNA expression level of FASTK and TBRG4 was elevated, whereas that of FASTKD1, FASTKD2, and FASTKD5 was lowered compared with normal tissues (P < .05). Patients with KIRC and high FASTK and Transforming growth factor β regulator 4 (TBRG4) expression had worse overall survival (OS) and disease specific survival (DFS), while those with lower expression of FASTKD2/3/5 had worse outcomes. FASTK was positively correlated with DNA damage. FASTKD1 was positively related to differentiation. FASTKD2 was inversely related to proliferation and FASTKD5 was inversely related to invasion and EMT in KIRC cells. FASTK expression in KIRC was inversely linked to the presence of several immune cells including Tgd, macrophages, Tcm, and Mast cells (P < .05). CONCLUSIONS: Our research provided fresh insight and in-depth analysis to the selection of prognostic biological markers of FASTK family members in KIRC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11769343
Volume :
19
Database :
Complementary Index
Journal :
Evolutionary Bioinformatics
Publication Type :
Academic Journal
Accession number :
175173719
Full Text :
https://doi.org/10.1177/11769343231212078