ArticleJournal of cellular and molecular medicine2020
Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer.
Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Metabolic gene expression-based stratification and prognostic risk predictive model of head and neck squamous cell carcinoma.NPJ systems biology and applications · 2026Article
- The quantitative proteomics analysis of multi-stage gastric mucosal lesions associated with Helicobacter pylori infection.PloS one · 2026Article
- Characterization of gastric ulcer influenced by hot-humid environment and high-sugar and high-fat diet provides a further insight into its underlying mechanism.Scientific reports · 2025Article
- Single-cell RNA Sequencing Demonstrates the Heterogeneity of Different Molecular Subtypes in Gastric Cancer.Biochemical genetics · 2025Article
- Development and validation of a prognostic model for efferocytosis-associated genes in cervical squamous cell carcinoma.Discover oncology · 2025Article
- Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025Review
- Energy metabolism: a new target for gastric cancer treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Review
- Identification of plasma proteomic signatures associated with the progression of cardia gastric cancer and precancerous lesions.Journal of the National Cancer Center · 2023Article
- WIPF1 promotes gastric cancer progression by regulating PI3K/Akt signaling in a myocardin-dependent manner.iScience · 2023Article
- A systems biology approach to pathogenesis of gastric cancer: gene network modeling and pathway analysis.BMC gastroenterology · 2023Article
- Screening of the differentially expressed proteins in malignant transformation of BEAS-2B cells induced by coal tar pitch extract.Toxicology research · 2023Article
- Proteomic signatures of infiltrative gastric cancer by proteomic and bioinformatic analysis.World journal of gastrointestinal oncology · 2022Article
- Early detection of colorectal cancer based on circular DNA and common clinical detection indicators.World journal of gastrointestinal surgery · 2022Article
- Quantitative proteomics characterization of cancer biomarkers and treatment.Molecular therapy oncolytics · 2021Review
- Capturing Biomarkers and Molecular Targets in Cellular Landscapes From Dynamic Reaction Network Models and Machine Learning.Frontiers in oncology · 2021Review
- Characteristics of the Immune Cell Infiltration Landscape in Gastric Cancer to Assistant Immunotherapy.Frontiers in genetics · 2021Article
- Quantitative proteomics identified 3 oxidative phosphorylation genes with clinical prognostic significance in gastric cancer.Journal of cellular and molecular medicine · 2020Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
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.
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