ArticleJournal of gastrointestinal oncology2020
Could CTSK and COL4A2 be specific biomarkers of poor prognosis for patients with gastric cancer in Asia?-a microarray analysis based on regional population.
Article in Journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
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- NCAPD2 Modulates MHC-I Antigen Presentation via the PI3K/AKT Axis to Drive Metastatic Progression in Gastric Cancer.Digestive diseases and sciences · 2026Article
- Relationship between cathepsin K and extracellular matrix dynamics: a comprehensive review.Frontiers in oncology · 2026Review
- Genetic Association Between Rheumatoid Arthritis and Preeclampsia: A Bidirectional Mendelian Randomization and Bioinformatics Study.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2026Article
- Telotristat ethyl affects tumour-fibroblast crosstalk in small intestinal neuroendocrine tumours.Journal of neuroendocrinology · 2025Article
- Identification of USP39 as a prognostic and predictive biomarker for determining the response to immunotherapy in pancreatic cancer.BMC cancer · 2025Article
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- The spatial and cellular portrait of transposable element expression during gastric cancer.Scientific reports · 2024Article
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- The potential contribution of aberrant cathepsin K expression to gastric cancer pathogenesis.Discover oncology · 2024Article
- COL4A2 enhances thyroid cancer cell proliferation through the AKT pathway.Oncology research · 2024Article
- Secretome analysis reveals reduced expression of COL4A2 in hypoxic cancer-associated fibroblasts with a tumor-promoting function in gastric cancer.Journal of cancer research and clinical oncology · 2023Article
- siRNA and targeted delivery systems in breast cancer therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Review
- Identification and validation of key genes associated with pathogenesis and prognosis of gastric cancer.PeerJ · 2023Article
- PGK1 contributes to tumorigenesis and sorafenib resistance of renal clear cell carcinoma via activating CXCR4/ERK signaling pathway and accelerating glycolysis.Cell death & disease · 2022Article
- Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma.BioMed research international · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the purpose of identifying reliable biomarkers for evaluating prognosis, monitoring recurrence and exploring new therapeutic targets, it is quite necessary to screen for the genetic changes and potential molecular mechanisms of the occurrence and development of gastric cancer (GC) from the aspects of race and region.
methodsTarget datasets were retrieved from Gene Expression Omnibus (GEO) database with "gastric cancer" as the key word, and corresponding data was downloaded. The differentially expressed genes (DEGs) were obtained by using limma R package, and the Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for DEGs were analyzed in Enirchr database. Protein-protein interaction (PPI) network and molecular module were also constructed through STRING database and Cytoscape software. Survival analyses were completed for DEGs in GEO and Kaplan-Meier plotter database via cross validation. Finally, the correlation between gene expression and the infiltration cell levels in tumor microenvironment (TME) was explored based on the tumor immune estimation resource (TIMER) database.
resultsFive GC-related microarray datasets were selected and used for differential analysis, and 222 DEGs were identified. GO analyses of DEGs were mainly involved in cell metabolism and the formation of extracellular matrix (ECM). The top enriched pathways of DEGs were protein digestion and absorption, ECM-receptor interaction, focal adhesion (FA), PI3K-Akt signaling pathway. Survival analyses of DEGs revealed that the expression levels of
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