ArticleBMC medical genomics2013
Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis.
Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Integrated multidimensional analysis is required for accurate prognostic biomarkers in colorectal cancer.PloS one · 2014Trial
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- Pan-cancer analysis of the role of α2C-adrenergic receptor (ADRA2C) in human tumors and validation in glioblastoma multiforme models.Journal of Cancer · 2024Article
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- Targeting the splicing isoforms of spleen tyrosine kinase affects the viability of colorectal cancer cells.PloS one · 2022Article
- Profiling diverse sequence tandem repeats in colorectal cancer reveals co-occurrence of microsatellite and chromosomal instability involving Chromosome 8.Genome medicine · 2021Article
- Revealing the Potential Application of EC-Synthetic Retinoid Analogues in Anticancer Therapy.Molecules (Basel, Switzerland) · 2021Article
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- DDX5 promotes oncogene C3 and FABP1 expressions and drives intestinal inflammation and tumorigenesis.Life science alliance · 2020Article
- Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics.Mediators of inflammation · 2020Article
- Silencing microRNA-330-5p increases MMP1 expression and promotes an invasive phenotype in oesophageal adenocarcinoma.BMC cancer · 2019Article
- Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets.BMC bioinformatics · 2019Article
- Colorectal Cancer Prognosis is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study.Journal of clinical medicine · 2019Article
- Fibroblast growth factor-10 and epithelial-mesenchymal transition in colorectal cancer.EXCLI journal · 2019Article
- miR-885-5p upregulation promotes colorectal cancer cell proliferation and migration by targeting suppressor of cytokine signaling.Oncology letters · 2018Article
- Role of Short Chain Fatty Acid Receptors in Intestinal Physiology and Pathophysiology.Comprehensive Physiology · 2018Review
- DEAD-Box Helicase 5 Interacts With Transcription Factor 12 and Promotes the Progression of Osteosarcoma by Stimulating Cell Cycle Progression.Frontiers in pharmacology · 2018Article
- Epistasis analysis of microRNAs on pathological stages in colon cancer based on an Empirical Bayesian Elastic Net method.BMC genomics · 2017Article
- An Optimal Mean Based Block Robust Feature Extraction Method to Identify Colorectal Cancer Genes with Integrated Data.Scientific reports · 2017Article
- The accessory proteins REEP5 and REEP6 refine CXCR1-mediated cellular responses and lung cancer progression.Scientific reports · 2016Article
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3 authors.
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Abstract
backgroundColorectal cancer is the third leading cause of cancer deaths in the United States. The initial assessment of colorectal cancer involves clinical staging that takes into account the extent of primary tumor invasion, determining the number of lymph nodes with metastatic cancer and the identification of metastatic sites in other organs. Advanced clinical stage indicates metastatic cancer, either in regional lymph nodes or in distant organs. While the genomic and genetic basis of colorectal cancer has been elucidated to some degree, less is known about the identity of specific cancer genes that are associated with advanced clinical stage and metastasis.
methodsWe compiled multiple genomic data types (mutations, copy number alterations, gene expression and methylation status) as well as clinical meta-data from The Cancer Genome Atlas (TCGA). We used an elastic-net regularized regression method on the combined genomic data to identify genetic aberrations and their associated cancer genes that are indicators of clinical stage. We ranked candidate genes by their regression coefficient and level of support from multiple assay modalities.
resultsA fit of the elastic-net regularized regression to 197 samples and integrated analysis of four genomic platforms identified the set of top gene predictors of advanced clinical stage, including: WRN, SYK, DDX5 and ADRA2C. These genetic features were identified robustly in bootstrap resampling analysis.
conclusionsWe conducted an analysis integrating multiple genomic features including mutations, copy number alterations, gene expression and methylation. This integrated approach in which one considers all of these genomic features performs better than any individual genomic assay. We identified multiple genes that robustly delineate advanced clinical stage, suggesting their possible role in colorectal cancer metastatic progression.
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