ArticleMolecular medicine reports2018
Novel prognostic biomarkers of gastric cancer based on gene expression microarray: COL12A1, GSTA3, FGA and FGG.
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 42 papers, 2 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.
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- Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020Pooled it
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- Identification of Bone Marrow and Peripheral Blood Plasma Extracellular Vesicle Protein Biomarker Signatures for Multiple Myeloma Diagnosis and Staging.International journal of nanomedicine · 2026Article
- Deciphering the role of complement system genes in pancreatic cancer susceptibility and prognosis.Nature communications · 2025Article
- Proteomics Analysis of Plasma Biomarker of Cognitive Frailty in Elders Who Locally Reside in Chiang Mai Province of Thailand.Life (Basel, Switzerland) · 2025Article
- DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data.Briefings in bioinformatics · 2025Article
- Fibrinogen Alpha Chain as a Potential Serum Biomarker for Predicting Response to Cisplatin and Gemcitabine Doublet Chemotherapy in Lung Adenocarcinoma: Integrative Transcriptome and Proteome Analyses.International journal of molecular sciences · 2025Article
- Gene regulatory networks reveal sex difference in lung adenocarcinoma.Biology of sex differences · 2024Article
- Type XII collagen is elevated in serum from patients with solid tumors: a non-invasive biomarker of activated fibroblasts.Clinical and experimental medicine · 2024Article
- Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer.Biological procedures online · 2023Article
- Gene regulatory Networks Reveal Sex Difference in Lung Adenocarcinoma.bioRxiv : the preprint server for biology · 2023Article
- Network and functional analyses of differentially expressed genes in gastric cancer provide new biomarkers associated with disease pathogenesis.Journal of the Egyptian National Cancer Institute · 2023Article
- Article
- Spatial transcriptomics reveals the heterogeneity and FGG+CRP+ inflammatory cancer-associated fibroblasts replace islets in pancreatic ductal adenocarcinoma.Frontiers in oncology · 2023Article
- Identification of specific prognostic markers for lung squamous cell carcinoma based on tumor progression, immune infiltration, and stem index.Frontiers in immunology · 2023Article
- Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis.Bioinformatics and biology insights · 2023Article
- Oxidative Modification Status of Human Serum Albumin Caused by Chronic Low-Dose Radiation Exposure in Mamuju, Sulawesi, Indonesia.Antioxidants (Basel, Switzerland) · 2022Article
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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 (GC) is the fifth most common malignancy and the third leading cause of cancer‑associated mortality in the world. However, its mechanisms of occurrence and development have not been clearly elucidated. Furthermore, there is no effective tumor marker for GC. Using DNA microarray analysis, the present study revealed genetic alterations, screened out core genes as novel markers and discovered pathways for potential therapeutic targets. Differentially expressed genes (DEGs) between GC and adjacent normal tissues were identified, followed by pathway enrichment analysis of DEGs. Next, the protein‑protein interaction (PPI) network of DEGs was built and visualized. Analyses of modules in the PPI network were then performed to identify the functional core genes. Finally, survival analysis of core genes was conducted. A total of 256 genes were identified as DEGs between the GC samples and normal samples, including 169 downregulated and 87 upregulated genes. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, the present study identified a total of 143 GO terms and 21 pathways. Six clusters of functional modules were identified, and the genes associated with these modules were screened out as the functional core genes. Certain core genes, including collagen type 12 α1 chain (COL12A1), glutathione S‑transferase α3 (GSTA3), fibrinogen α chain (FGA) and fibrinogen γ chain (FGG), were the first reported to be associated with GC. Survival analysis suggested that these four genes, COL12A1 (P=0.002), GSTA3 (P=3.4x10‑6), FGA (P=0.00075) and FGG (P=1.4x10‑5), were significant poor prognostic factors and therefore, potential targets to improve diagnosis, optimize chemotherapy and predict prognostic outcomes.
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