Open AccessQuantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer
Author(s) -
Su Fei,
Zhou Fenfang,
Zhang Tao,
Wang Danwen,
Zhao Da,
Hou Xiaoming,
Feng Maohui
Publication year - 2020
Publication title -
journal of cellular and molecular medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.44
H-Index - 130
eISSN - 1582-4934
pISSN - 1582-1838
DOI - 10.1111/jcmm.15712
Subject(s) - proteomics , biology , oxidative phosphorylation , kegg , citric acid cycle , biological pathway , quantitative proteomics , metabolic pathway , cancer , gene expression , gene , computational biology , biochemistry , bioinformatics , gene ontology , genetics , enzyme
The aim of the present study was to explore the underlying mechanisms involved in gastric cancer (GC) formation using data‐independent acquisition (DIA) quantitative proteomics analysis. We identified the differences in protein expression and related functions involved in biological metabolic processes in GC. Totally, 745 differentially expressed proteins (DEPs) were found in GC tissues vs . gastric normal tissues. Despite enormous complexity in the details of the underlying regulatory network, we find that clusters of proteins from the DEPs were mainly involved in 38 pathways. All of the identified DEPs involved in oxidative phosphorylation were down‐regulated. Moreover, GC possesses significantly altered biological metabolic processes, such as NADH dehydrogenase complex assembly and tricarboxylic acid cycle, which is mostly consistent with that in KEGG analysis. Furthermore the higher expression of UQCRQ, NDUFB7 and UQCRC2 were positively correlated with a better prognosis, implicating these proteins may as novel candidate diagnostic and prognostic biomarkers.