ArticleOncology letters2016
Matrix metalloproteinase expression and molecular interaction network analysis in gastric cancer.
Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 32 citations in OpenAlex.
- Analysis of the Matrix Metalloproteinases Family Profile in Gastric Cancer Suggests Key Matrix Metalloproteinases for Tumor Development and Their Clinical Impact.Molecular carcinogenesis · 2026Article
- Mimicking Gastric Cancer Collagen Reorganization with Decellularized ECM-Based Scaffolds.Biology · 2025Review
- Lactate metabolism-related genes serve as potential biomarkers for predicting gastric cancer progression and immunotherapy.Discover oncology · 2025Article
- The Emerging Role of MMP12 in the Oral Environment.International journal of molecular sciences · 2023Review
- Radiosensitivity in Non-Small-Cell Lung Cancer by MMP10 through the DNA Damage Repair Pathway.Journal of oncology · 2023Article
- Time-extended exposure of gastric epithelial cells to secretome ofAmerican journal of cancer research · 2022Article
- A tumour-resident Lgr5Nature cell biology · 2021Article
- Identification and Validation of Esophageal Squamous Cell Carcinoma Targets for Fluorescence Molecular Endoscopy.International journal of molecular sciences · 2021Article
- The changing face of gastric cancer: epidemiologic trends and advances in novel therapies.Cancer gene therapy · 2021Review
- Analysis of Gastric Cancer Transcriptome Allows the Identification of Histotype Specific Molecular Signatures With Prognostic Potential.Frontiers in oncology · 2021Article
- miR‑508‑3p suppresses the development of ovarian carcinoma by targeting CCNA2 and MMP7.International journal of oncology · 2020Observational
- Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.Pathology oncology research : POR · 2020Article
- Study of Gene Expression Profiles of Breast Cancers in Indian Women.Scientific reports · 2019Article
- Circular RNA 0047905 acts as a sponge for microRNA4516 and microRNA1227-5p, initiating gastric cancer progression.Cell cycle (Georgetown, Tex.) · 2019Article
- A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancer.EBioMedicine · 2019Article
- Omental Tissue-Mediated Tumorigenesis of Gastric Cancer Peritoneal Metastases.Frontiers in oncology · 2019Article
- Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.World journal of surgical oncology · 2018Article
- A molecular and staging model predicts survival in patients with resected non-small cell lung cancer.BMC cancer · 2018Article
- PRL-3 promotes gastric cancer peritoneal metastasis via the PI3K/AKT signaling pathwayOncology letters · 2018Article
- Identification of key miRNAs and genes associated with stomach adenocarcinoma from The Cancer Genome Atlas database.FEBS open bio · 2018Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is one of the most common types of cancer of the digestive tract. Invasion of tumor cells into surrounding tissue and metastasis are among the most significant checkpoints in tumor progression. It is known that matrix metalloproteinases (MMPs) are involved in these processes; however, knowledge of their molecular interaction networks is still limited. Investigation of these networks could provide a more comprehensive picture of the function of MMPs in tumorigenesis. Furthermore, it could be used to develop new approaches to targeted anticancer therapy. In this study, we performed microarray analysis, and 1666 genes that were aberrantly expressed in GC tissues were identified (fold change >2, P<0.05). In addition, quantitative polymerase chain reaction analysis has confirmed that MMP1, MMP3, MMP7, MMP10, MMP11 and MMP12 expression is upregulated in GC. In addition, the MMP3 expression level was negatively correlated with GC differentiation (P<0.05). By integrating the microarray information and BioGRID and STRING databases, we constructed an MMP-related molecular interaction network and observed that 18 genes (including MMPs) were highly expressed in GC tissues. The most enriched of these 18 genes in the Gene Oncology (GO) and pathway analysis were in extracellular matrix disassembly (GO biological process) and extracellular matrix-receptor interaction (KEGG pathway), which are closely correlated with cancer invasion and metastasis. Collectively, our results suggest that the MMP-related interaction network has a role in GC progression, and therefore further studies are required in order to investigate these network interactions in tumorigenesis.
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