ArticleInternational journal of general medicine2021
Differential Expression of COL1A1, COL1A2, COL6A3, and SULF1 as Prognostic Biomarkers in Gastric Cancer.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Discovering Promising Biomarkers and Therapeutic Targets for Duchenne Muscular Dystrophy: a Multiomics Meta-Analysis Approach.Molecular neurobiology · 2024Pooled it
- Development of an ADME gene signature for prognostic and therapeutic stratification in gastric cancer.Discover oncology · 2025Article
- Mimicking Gastric Cancer Collagen Reorganization with Decellularized ECM-Based Scaffolds.Biology · 2025Review
- CircNSD1 promotes cardiac fibrosis through targeting the miR-429-3p/SULF1/Wnt/β-catenin signaling pathway.Acta pharmacologica Sinica · 2024Article
- [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- 6-O-endosulfatases in tumor metastasis: heparan sulfate proteoglycans modification and potential therapeutic targets.American journal of cancer research · 2024Review
- Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.BMC medical genomics · 2023Article
- Chitinase 3-like-1 Expression in the Microenvironment Is Associated with Neutrophil Infiltration in Bladder Cancer.International journal of molecular sciences · 2023Article
- Anti-aging mechanism of different age donor-matched adipose-derived stem cells.Stem cell research & therapy · 2023Article
- Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.World journal of clinical cases · 2023Article
- Identification of key immune-related genes in dilated cardiomyopathy using bioinformatics analysis.Scientific reports · 2023Article
- Extracellular Heparan 6-Cancers · 2022Article
- Article
- Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.Translational lung cancer research · 2022Article
- The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.Computational and mathematical methods in medicine · 2022Article
- Exploration of immune response mechanisms in cadmium and copper co-exposed juvenile golden cuttlefish (Frontiers in immunology · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer (GC) is among the most prevalent cancers globally. As such, there is a need to explore the mechanism underlying its pathogenesis and identify potential biomarkers for its prognosis.
methodsONCOMINE was used to screen differentially expressed genes between GC and normal gastric mucosa. GEPIA was used to analyze the expression and correlation of candidate genes in tumor node metastasis (TNM) stage. STRING was used to construct protein interaction network. Kaplan-Meier plotter was used to analyze survival. TIMER was used to evaluate the association between candidate genes and immune cell infiltration.
resultsFrom the ONCOMINE database, we found COL1A1, COL1A2, COL6A3, and SULF1 genes were significantly upregulated in stomach adenocarcinomas. There was a considerable correlation between the expression of COL1A1 (p = 0.029), COL1A2 (p = 0.004), COL6A3 (p = 0.002), SULF1 (p = 0.001), and the TNM stage. COL1A1 was positively correlated with ERBB2 (R = -0.037, p = 0.46), while the other three genes were negatively correlated with ERBB2 (p > 0.05). The Kaplan-Meier plotter showed that low transcriptional levels of COL1A1 (p = 0.0020), COL1A2 (p = 0.0015), COL6A3 (p = 0.0015), and SULF1 (p = 0.0016) in gastric cancer patients were remarkably related to longer overall survival. In addition, there was a close relationship between chemokine expression and infiltration of the six immune cell types: B cells, macrophages, CD4+ T cells, CD8+ T cells, dendritic cells, and neutrophils, implying that the genes acted as indicators of both prognosis and immune status.
conclusionOur findings implicate COL1A1, COL1A2, COL6A3, and SULF1 as candidate biomarkers for the prognosis of gastric cancer.
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