SynthesisPathology oncology research : POR2018
COL1A2 is a Novel Biomarker to Improve Clinical Prediction in Human Gastric Cancer: Integrating Bioinformatics and Meta-Analysis.
Synthesis in Pathology oncology research : POR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020Pooled it
- SynProtX: a large-scale proteomics-based deep learning model for predicting synergistic anticancer drug combinations.GigaScience · 2025Article
- Patient-derived cell lines unveil COL1A2 as a predictor of docetaxel resistance in breast cancer.Frontiers in oncology · 2025Article
- Simultaneous Detection of Collagen I Alpha II and Cytokeratin 19 mRNA by Multiplex qPCR in Liquid Biopsy in Diagnosis of Patients with Resectable Solid Tumors.International journal of molecular sciences · 2024Article
- ceRNA network-regulated COL1A2 high expression correlates with poor prognosis and immune infiltration in colon adenocarcinoma.Scientific reports · 2023Article
- Novel CAF-identifiers via transcriptomic and protein level analysis in HNSC patients.Scientific reports · 2023Article
- Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.World journal of clinical cases · 2023Article
- An epithelial-mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysis.The Journal of international medical research · 2022Article
- Potential biomarkers and immune characteristics of small bowel adenocarcinoma.Scientific reports · 2022Article
- Collagen Remodeling along Cancer Progression Providing a Novel Opportunity for Cancer Diagnosis and Treatment.International journal of molecular sciences · 2022Review
- CircCOL1A2 Sponges MiR-1286 to Promote Cell Invasion and Migration of Gastric Cancer by Elevating Expression of USP10 to Downregulate RFC2 Ubiquitination Level.Journal of microbiology and biotechnology · 2022Article
- Immunohistochemical expression of osteopontin and collagens in choroid plexus of human brains.Neuropathology : official journal of the Japanese Society of Neuropathology · 2022Article
- Transcriptome analysis reveals SALL4 as a prognostic key gene in gastric adenocarcinoma.Journal of the Egyptian National Cancer Institute · 2022Article
- Glucoside xylosyltransferase 2 as a diagnostic and prognostic marker in gastric cancer via comprehensive analysis.Bioengineered · 2021Article
- LncRNA LIFR-AS1 promotes proliferation and invasion of gastric cancer cell via miR-29a-3p/COL1A2 axis.Cancer cell international · 2021Article
- Bioinformatics Analysis of Hub Genes and Potential Therapeutic Agents Associated with Gastric Cancer.Cancer management and research · 2021Article
- Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia.Computational and mathematical methods in medicine · 2021Article
- Prognostic Value of Highly Expressed Type VII Collagen (COL7A1) in Patients With Gastric Cancer.Pathology oncology research : POR · 2021Article
- Identification of three tumor antigens and immune subtypes for mRNA vaccine development in diffuse glioma.Theranostics · 2021Article
- Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.Pathology oncology research : POR · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer is the third most common cause of cancer-related death in worldwide. It is crucial to target the key genes controlling pathogenesis in the early stage of gastric cancer. This study describes an integrated bioinformatics to identify molecular biomarkers for gastric cancer in patients' cancer tissues. We reports differently expression genes in large gastric cancer cohorts from Gene Expression Ominus (GEO). Our findings revealed that 433 genes were significantly different expressed in human gastric cancer. Differently expression gene profile in gastric cancer was further validated by bioinformatic analyses, co-expression network construction. Based on the co-expression network and top-ranked genes, we identified collagen type I alpha 2 (COL1A2) which encodes the pro-alpha2 chain of type I collagen whose triple helix comprises two alpha1 chains and one alpha2 chain, was the key gene in a 37-gene network that modulates cell motility by interacting with the cytoskeleton. Furthermore, the prognostic role of COL1A2 was determined by use of immunohistochemistry on human gastric cancer tissue. COL1A2 was highly expressed in human gastric cancer as compared with normal gastric tissues. Statistical analysis showed COL1A2 expression level was significantly associated with histological type and lymph node status. However, there were no correlations between COL1A2 expression and age, lymph node numbers, tumor size, or clinical stage. In conclusion, the novel bioinformatics used in this study has led to identification of improving diagnostic biomarkers for human gastric cancer and could benefit further analyses of the key alteration during its progression.
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