ArticleOncology letters2020
Identification of key genes involved in the development and progression of early-onset colorectal cancer by co-expression network analysis.
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- HER2Ile655Val Single Nucleotide Polymorphism Associated with Early-Onset Breast Cancer Susceptibility: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2021Pooled it
- Examining the gene network and prognostic biomarkers in the onset of colorectal cancer in stool samples using machine learning.Discover oncology · 2026Article
- Cytoskeleton reorganization induced by a novel K6-K14 keratin fusion promotes cancer stemness and cellular plasticity via cGAS-STING selection.Oncogenesis · 2026Article
- Decorin: matrix-based pan-cancer tumor suppressor.Molecular and cellular biochemistry · 2025Review
- Identification of key genes regulating colorectal cancer stem cell characteristics by bioinformatics analysis.Medicine · 2025Article
- A Transcriptome and Methylome Study Comparing Tissues of Early and Late Onset Colorectal Carcinoma.International journal of molecular sciences · 2022Article
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- miR-31-5p-Oncology letters · 2022Article
- Recognition of a Novel Gene Signature for Human Glioblastoma.International journal of molecular sciences · 2022Article
- Integrating cell cycle score for precise risk stratification in ovarian cancer.Frontiers in genetics · 2022Article
- RNA sequencing and functional studies of patient-derived cells reveal that neurexin-1 and regulators of this pathway are associated with poor outcomes in Ewing sarcoma.Cellular oncology (Dordrecht, Netherlands) · 2021Article
- TAGLN2 promotes the proliferation, invasion, migration and epithelial-mesenchymal transition of colorectal cancer cells by activating STAT3 signaling through ANXA2.Oncology letters · 2021Article
- A pancancer overview of FBN1, asprosin and its cognate receptor OR4M1 with detailed expression profiling in ovarian cancer.Oncology letters · 2021Article
- Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.Bioscience reports · 2021Article
- Human Mitoribosome Biogenesis and Its Emerging Links to Disease.International journal of molecular sciences · 2021Review
- Unearthing of Key Genes Driving the Pathogenesis of Alzheimer's Disease via Bioinformatics.Frontiers in genetics · 2021Article
- Article
- Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis.Frontiers in endocrinology · 2020Article
- Integrative Analysis of DNA Methylation Identified 12 Signature Genes Specific to Metastatic ccRCC.Frontiers in oncology · 2020Article
- Transgelins: Cytoskeletal Associated Proteins Implicated in the Metastasis of Colorectal Cancer.Frontiers in cell and developmental biology · 2020Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A number of studies have revealed that there is an increasing incidence of early-onset colorectal cancer (CRC) in young adults (before the age of 50 years) and a progressive decline in CRC among older patients, after the age of 50 years (late-onset CRC). However, the etiology of early-onset CRC is not fully understood. The aim of the present study was to identify key genes associated with the development of early-onset CRC through weighted gene co-expression network analysis (WGCNA). The GSE39582 dataset was downloaded from the Gene Expression Omnibus database, and the data profiles of tissues from patients diagnosed before the age of 50 years were selected. The top 10,000 genes with the highest variability were used to construct the WGCNA. Hub genes were identified from the modules associated with clinical traits using gene significance >0.2 and module membership >0.8 as the cut-off criteria. Gene Ontology and pathway analyses were subsequently performed on the hub genes and a protein-protein interaction network (PPI) was constructed. The diagnostic value of module hub genes with a degree score >5 in the PPI network was verified in samples from patients with CRC diagnosed before the age of 50 years obtained from The Cancer Genome Atlas. Eight co-expressed gene modules were identified in the WGCNA and two modules (blue and turquoise) were associated with the tumor-node-metastasis stage. A total of 140 module hub genes were identified and found to be enriched in 'mitochondrial large ribosomal subunit', 'structural constituent of ribosome', 'poly (A) RNA binding', 'collagen binding', 'protein ubiquitination' and 'ribosome pathway'. Twenty-six module hub genes were found to have a degree score >5 in the PPI network, seven of which [secreted protein acidic and cysteine rich (SPARC), decorin (DCN), fibrillin 1 (FBN1), WW domain containing transcription regulator 1 (WWTR1), transgelin (TAGLN), DEAD-box helicase 28 (DDX28) and cold shock domain containing C2 (CSDC2)], had good prognostic values for patients with early-onset CRC, but not late-onset CRC. Therefore, SPARC, DCN, FBN1, WWTR1, TAGLN, DDX28 and CSDC2 may contribute to the development of early-onset CRC and may serve as potential diagnostic biomarkers.
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