ArticlePeerJ2019
The clinical significance of collagen family gene expression in esophageal squamous cell carcinoma.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 54 citations in OpenAlex.
- Integrative Bioinformatics Analysis Reveals COL13A1 and COL23A1 as Potential Diagnostic and Prognostic Biomarkers in Thyroid Cancer.Health science reports · 2026Article
- Genetic Profiling of Primary Versus Metastatic Ewing Sarcoma for Therapeutic Target Identification.Life (Basel, Switzerland) · 2026Article
- Mimicking Gastric Cancer Collagen Reorganization with Decellularized ECM-Based Scaffolds.Biology · 2025Review
- NEK2 Control of Esophageal Squamous Cell Carcinoma Growth Based on Circadian Oscillation.Cancer science · 2025Article
- Downregulation of SMAD2 and SMAD4 is associated with poor prognosis and shorter survival in esophageal squamous cell carcinoma.Molecular biology reports · 2025Article
- Biological implications of decoding the extracellular matrix of vulva cancer.Oncology reports · 2025Review
- Oncogenic mechanisms of COL10A1 in cancer and clinical challenges (Review).Oncology reports · 2024Review
- Screening and verification of hub genes in esophageal squamous cell carcinoma by integrated analysis.Scientific reports · 2024Article
- Molecular mechanism detection of stage I to stage II transition of esophageal squamous cell carcinoma: a system biology approach.Gastroenterology and hepatology from bed to bench · 2024Article
- Plasma COL10A1 Level, a Potential Diagnostic and Prognostic Biomarker for Pancreatic Ductal Adenocarcinoma.OncoTargets and therapy · 2024Article
- Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer.Health data science · 2024Article
- IGH repertoire analysis at scale: deciphering the complexity of B cell infiltration and migration in esophageal squamous cell carcinoma.Cancer gene therapy · 2024Article
- Comprehensive Analysis of Differential Gene Expression and Correlated Immune Infiltration in Bladder Cancer.Iranian journal of public health · 2023Article
- COL19A1 is a predictive biomarker for the responsiveness of esophageal squamous cell carcinoma patients to immune checkpoint therapy.Thoracic cancer · 2023Article
- Systematic identification of biochemical networks in cancer cells by functional pathway inference analysis.Bioinformatics (Oxford, England) · 2023Article
- High expression COL10A1 promotes breast cancer progression and predicts poor prognosis.Heliyon · 2022Article
- Esophageal squamous cell carcinoma: Integrated bioinformatics analysis for differential gene expression with identification of hub genes and lncRNA.Biochemistry and biophysics reports · 2022Article
- Development of a prognostic nomogram based on an eight-gene signature for esophageal squamous cell carcinoma by weighted gene co-expression network analysis (WGCNA).Annals of translational medicine · 2022Article
- A Five Collagen-Related Gene Signature to Estimate the Prognosis and Immune Microenvironment in Clear Cell Renal Cell Cancer.Vaccines · 2021Article
- Homeoprotein SIX1 compromises antitumor immunity through TGF-β-mediated regulation of collagens.Cellular & molecular immunology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal squamous cell carcinoma (ESCC) is a subtype of esophageal cancer with high incidence and mortality. Due to the poor 5-year survival rates of patients with ESCC, exploring novel diagnostic markers for early ESCC is emergent. Collagen, the abundant constituent of extracellular matrix, plays a critical role in tumor growth and epithelial-mesenchymal transition. However, the clinical significance of collagen genes in ESCC has been rarely studied. In this work, we systematically analyzed the gene expression of whole collagen family in ESCC, aiming to search for ideal biomarkers.
methodsClinical data and gene expression profiles of ESCC patients were collected from The Cancer Genome Atlas and the gene expression omnibus databases. Bioinformatics methods, including differential expression analysis, survival analysis, gene sets enrichment analysis (GSEA) and co-expression network analysis, were performed to investigate the correlation between the expression patterns of 44 collagen family genes and the development of ESCC.
resultsA total of 22 genes of collagen family were identified as differentially expressed genes in both the two datasets. Among them, COL1A1, COL10A1 and COL11A1 were particularly up-regulated in ESCC tissues compared to normal controls, while COL4A4, COL6A5 and COL14A1 were notably down-regulated. Besides, patients with low COL6A5 expression or high COL18A1 expression showed poor survival. In addition, a 7-gene prediction model was established based on collagen gene expression to predict patient survival, which had better predictive accuracy than the tumor-node-metastasis staging based model. Finally, GSEA results suggested that collagen genes might be tightly associated with PI3K/Akt/mTOR pathway, p53 pathway, apoptosis, cell cycle, etc.
conclusionSeveral collagen genes could be potential diagnostic and prognostic biomarkers for ESCC. Moreover, a novel 7-gene prediction model is probably useful for predicting survival outcomes of ESCC patients. These findings may facilitate early detection of ESCC and help improves prognosis of the patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.