ArticleJournal of Cancer2020
Identification of Key Gene and Pathways for the Prediction of Peritoneal Metastasis of Gastric Cancer by Co-expression Analysis.
Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Screening and evaluation of specific blood MiRNAs as potential biomarkers in diagnostics of gastric Cancer.Scientific reports · 2025Article
- Molecular mechanisms of metastatic peritoneal dissemination in gastric adenocarcinoma.Cancer metastasis reviews · 2025Review
- Identification and validation of crucial lnc-TRIM28-14 and hub genes promoting gastric cancer peritoneal metastasis.BMC cancer · 2023Article
- TMEM92 acts as an immune-resistance and prognostic marker in pancreatic cancer from the perspective of predictive, preventive, and personalized medicine.The EPMA journal · 2022Article
- Review
- Article
- Immune landscape of advanced gastric cancer tumor microenvironment identifies immunotherapeutic relevant gene signature.BMC cancer · 2021Article
- hsa_circ_0060975 is highly expressed and predicts a poor prognosis in gastric cancer.Oncology letters · 2021Article
- Analysis of Nuclear Encoded Mitochondrial Gene Networks in Cervical Cancer.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Identification of Lymph Node Metastasis-Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis.Frontiers in molecular biosciences · 2021Article
- High Level of Legumain Was Correlated With Worse Prognosis and Peritoneal Metastasis in Gastric Cancer Patients.Frontiers in oncology · 2020Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peritoneal metastasis is the most common pattern in advanced gastric cancer and can predict poor disease prognosis. Early detection of peritoneal tumor dissemination is restricted by small peritoneal deposits. Therefore, it is critical to identify a novel predictive marker and to explore the potential mechanism associated with this process. In the present study, one module that correlated with peritoneal metastasis was identified. Enrichment analysis indicated that the Focal adhesion and the PI3K-Akt signaling pathway were the most significant pathways. Following network and Molecular Complex Detection (MCODE) analysis, the hub-gene cluster that consisted of 19 genes was selected. Methionine sulfoxide reductase B3 (
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