ArticleMolecular medicine reports2018
Tetraspanin family identified as the central genes detected in gastric cancer using bioinformatics analysis.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 21 citations in OpenAlex.
- Mitochondria transfer: intercellular communication and tumor microenvironment dynamics.Cell communication and signaling : CCS · 2026Review
- Comprehensive molecular characterization of high-stemness gastric cancer cells using single-cell transcriptomics, spatial mapping, and machine learning.NPJ precision oncology · 2025Article
- Migrasomes, critical players in intercellular communication.Cancer cell international · 2025Review
- Migrasomes: A New Role in Disease Diagnosis and Treatment.Biologics : targets & therapy · 2025Review
- Tetraspanins in digestive‑system cancers: Expression, function and therapeutic potential (Review).Molecular medicine reports · 2024Review
- TSPAN1 overexpression as an indicator of poor prognosis in estrogen receptor-positive breast cancer.Translational cancer research · 2024Article
- Article
- Novel insights into the roles of migrasome in cancer.Discover oncology · 2024Review
- Research progress of migrasomes: from genesis to formation, physiology to pathology.Frontiers in cell and developmental biology · 2024Review
- TSPAN4 and migrasomes in atherosclerosis regression correlated to myocardial infarction and pan-cancer progression.Cell adhesion & migration · 2023Article
- Migrasomes and tetraspanins in hepatocellular carcinoma: current status and future prospects.Future science OA · 2023Review
- Review
- TSPAN4 is a prognostic and immune target in Glioblastoma multiforme.Frontiers in molecular biosciences · 2022Article
- Could gastrointestinal tumor-initiating cells originate from cell-cell fusionWorld journal of gastrointestinal oncology · 2021Review
- Tetraspanins: Novel Molecular Regulators of Gastric Cancer.Frontiers in oncology · 2021Review
- Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.BioMed research international · 2020Article
- Expression and function of transmembrane 4 superfamily proteins in digestive system cancers.Cancer cell international · 2020Article
- Identification of the lncRNA-miRNA-mRNA network associated with gastric cancer via integrated bioinformatics analysis.Oncology letters · 2019Article
- Genome-scale CRISPR activation screening identifies a role of ELAVL2-CDKN1A axis in paclitaxel resistance in esophageal squamous cell carcinoma.American journal of cancer research · 2019Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer has become a serious disease in the past decade. It has the second highest mortality rate among the four most common cancer types, leading to ~700,000 mortalities annually. Previous studies have attempted to elucidate the underlying biological mechanisms of gastric cancer. The present study aimed to obtain useful biomarkers and to improve the understanding of gastric cancer mechanisms at the genetic level. The present study used bioinformatics analysis to identify 1,829 differentially expressed genes (DEGs) which were obtained from the GSE54129 dataset. Using protein‑protein interaction information from the Search Tool for the Retrieval of Interacting Genes database, disease modules were constructed for gastric cancer using Cytoscape software. In the Gene Ontology analysis of biology processes, upregulated genes were significantly enriched in 'extracellular matrix organization', 'cell adhesion' and 'inflammatory response', whereas downregulated DEGs were significantly enriched in 'xenobiotic metabolic process', 'oxidation‑reduction process' and 'steroid metabolic process'. During Kyoto Encyclopedia of Genes and Genomes analysis, upregulated DEGs were significantly enriched in 'extracellular matrix‑receptor interaction', 'focal adhesion' and 'PI3K‑Akt signaling pathway', whereas the downregulated DEGs were significantly enriched in 'chemical carcinogenesis', 'metabolism of xenobiotics by cytochrome P450' and 'peroxisome'. The present study additionally identified 10 hub genes from the DEGs: Tumor protein p53 (TP53), C‑X‑C motif chemokine ligand 8 (CXCL8), tetraspanin 4 (TSPAN4), lysophosphatidic acid receptor 2 (LPAR2), adenylate cyclase 3 (ADCY3), phosphoinositide‑3‑kinase regulatory subunit 1 (PIK3R1), neuromedin U (NMU), C‑X‑C motif chemokine ligand (CXCL12), fos proto‑oncogene, AP‑1 transcription factor subunit (FOS) and sphingosine‑1‑phosphate receptor 1 (S1PR1), which have high degrees with other DEGs. The survival analysis revealed that the high expression of ADCY3, LPAR2, S1PR1, TP53 and TSPAN4 was associated with a lower survival rate, whereas high expression of CXCL8, FOS, NMU and PIK3R1 was associated with a higher survival rate. No significant association was identified between CXCL12 and survival rate. Additionally, TSPAN1 and TSPAN8 appeared in the top 100 DEGs. Finally, it was observed that 4 hub genes were highly expressed in gastric cancer tissue compared with para‑carcinoma tissue in the 12 patients; the increased TSPAN4 was significant (>5‑fold). Tetraspanin family genes may be novel biomarkers of gastric cancer. The findings of the present study may improve the understanding of the molecular mechanisms underlying the development of gastric cancer.
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