Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer

Abstract

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.

Characteristics of the Immune Cell Infiltration Landscape in Gastric Cancer to Assistant Immunotherapy

“…Contrarily, several immune-activated and metabolicrelated pathways were found enriched in low-ICI score cohorts including Natural killer cell mediated cytotoxicity and Oxidative phosphorylation. Su et al (2020) also identified three oxidative phosphorylation genes associated with the clinical prognostic significance in GC and multiple therapeutic technologies had been found to activate NK cells directly or indirectly to improve their killing activity for GC including cytokines, antibodies, immunomodulatory drugs, immune checkpoint blockades and gene therapy (Mimura et al, 2014). TMB has been recognized as a new biomarker for immune checkpoint treatment in various tumor types and reported to applied in predicting the survival status after immunotherapy in advanced gastric cancer patients (Kim et al, 2020b).…”

TMT‐based proteomics analysis to screen potential biomarkers of Achyranthis Bidentatae Radix for osteoporosis in rats

“…As the first protein in the electron transport chain, they could transfer electrons from NADH to the resuscitation chain, and play the role of binding NADH and oxidation. In addition, MTND5 can also catalyze NADH to transfer electrons through the respiratory chain to produce energy (Su et al, 2020). MT‐CYB is a component of the ubiquinol–cytochrome C reductase complex, which mediates electron transfer from ubiquinol to cytochrome C. This contributes to the generation of a proton gradient across the mitochondrial membrane, which is then used for ATP synthesis, thereby playing an important role in energy generation (Heidari et al, 2020).…”

Capturing Biomarkers and Molecular Targets in Cellular Landscapes From Dynamic Reaction Network Models and Machine Learning

“…Parenthetically, precise measurements of reaction rates, enzymatic activity, and binding affinities are also critically important in computational modeling. The advent of critical technologies that can determine such include labeled and label-free assays such and SILAC and LC-MS/MS, respectively (27,28). Both tumor cell lines and tumor tissue have been studied in this fashion and databases exist to exploit (29)(30)(31)(32).…”