ArticlePloS one2012
Pathway-based evaluation in early onset colorectal cancer suggests focal adhesion and immunosuppression along with epithelial-mesenchymal transition.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Early-Onset Colorectal Cancer: From Genetic Discovery to Clinical Innovation.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2025Review
- DNA methylation profiling at base-pair resolution reveals unique epigenetic features of early-onset colorectal cancer in underrepresented populations.Clinical epigenetics · 2025Article
- Unravelling Phyto-Compound Therapeutics Against Colorectal Cancer: Targeting SRC proto-oncogene via Fibroblast Growth Factor Signalling Pathway -A Comprehensive Approach Integrating Omics Data Analysis, Network Pharmacology, Virtual Screening, and Molecular Dynamics.Recent advances in food, nutrition & agriculture · 2025Article
- Early Onset Metastatic Colorectal Cancer: Current Insights and Clinical Management of a Rising Condition.Cancers · 2023Review
- Systems biology and OMIC data integration to understand gastrointestinal cancers.World journal of clinical oncology · 2022Review
- Prenatal opioid-exposed infant extracellular miRNA signature obtained at birth predicts severity of neonatal opioid withdrawal syndrome.Scientific reports · 2022Article
- SEPTIN9-SDC2-VIM methylation signature as a biomarker for the early diagnosis of colorectal cancer.American journal of cancer research · 2022Article
- Identification and Validation of Prognostically Relevant Gene Signature in Melanoma.BioMed research international · 2020Article
- Alpha-1 Antitrypsin Induces Epithelial-to-Mesenchymal Transition, Endothelial-to-Mesenchymal Transition, and Drug Resistance in Lung Cancer Cells.OncoTargets and therapy · 2020Article
- A comparison of mechanistic signaling pathway activity analysis methods.Briefings in bioinformatics · 2019Review
- Inhibition of ZIP4 reverses epithelial-to-mesenchymal transition and enhances the radiosensitivity in human nasopharyngeal carcinoma cells.Cell death & disease · 2019Article
- Cancer Transcriptome Dataset Analysis: Comparing Methods of Pathway and Gene Regulatory Network-Based Cluster Identification.Omics : a journal of integrative biology · 2017Article
- Benchmarking pathway interaction network for colorectal cancer to identify dysregulated pathways.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017Article
- Novel mouse model recapitulates genome and transcriptome alterations in human colorectal carcinomas.Genes, chromosomes & cancer · 2017Article
- Review
- Gene Expression Differences in Prostate Cancers between Young and Old Men.PLoS genetics · 2016Article
- Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity.Scientific reports · 2015Article
- Identification of key genes associated with colorectal cancer based on the transcriptional network.Pathology oncology research : POR · 2015Article
- Assessing the impact of mutations found in next generation sequencing data over human signaling pathways.Nucleic acids research · 2015Article
- Network Comparison of Inflammation in Colorectal Cancer and Alzheimer's Disease.BioMed research international · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) has one of the highest incidences among all cancers. The majority of CRCs are sporadic cancers that occur in individuals without family histories of CRC or inherited mutations. Unfortunately, whole-genome expression studies of sporadic CRCs are limited. A recent study used microarray techniques to identify a predictor gene set indicative of susceptibility to early-onset CRC. However, the molecular mechanisms of the predictor gene set were not fully investigated in the previous study. To understand the functional roles of the predictor gene set, in the present study we applied a subpathway-based statistical model to the microarray data from the previous study and identified mechanisms that are reasonably associated with the predictor gene set. Interestingly, significant subpathways belonging to 2 KEGG pathways (focal adhesion; natural killer cell-mediated cytotoxicity) were found to be involved in the early-onset CRC patients. We also showed that the 2 pathways were functionally involved in the predictor gene set using a text-mining technique. Entry of a single member of the predictor gene set triggered a focal adhesion pathway, which confers anti-apoptosis in the early-onset CRC patients. Furthermore, intensive inspection of the predictor gene set in terms of the 2 pathways suggested that some entries of the predictor gene set were implicated in immunosuppression along with epithelial-mesenchymal transition (EMT) in the early-onset CRC patients. In addition, we compared our subpathway-based statistical model with a gene set-based statistical model, MIT Gene Set Enrichment Analysis (GSEA). Our method showed better performance than GSEA in the sense that our method was more consistent with a well-known cancer-related pathway set. Thus, the biological suggestion generated by our subpathway-based approach seems quite reasonable and warrants a further experimental study on early-onset CRC in terms of dedifferentiation or differentiation, which is underscored in EMT and immunosuppression.
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