ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2013
Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- The diagnostic and prognostic value ofBioImpacts : BI · 2025Article
- Ubiquitin Conjugating Enzyme E2 H (UBE2H) Is Linked to Poor Outcomes and Metastasis in Lung Adenocarcinoma.Biology · 2021Article
- From Glucose to Lactate and Transiting Intermediates Through Mitochondria, Bypassing Pyruvate Kinase: Considerations for Cells Exhibiting Dimeric PKM2 or Otherwise Inhibited Kinase Activity.Frontiers in physiology · 2020Review
- Genome-wide analysis of canine oral malignant melanoma metastasis-associated gene expression.Scientific reports · 2019Article
- FKBP14 Promotes The Proliferation And Migration Of Colon Carcinoma Cells Through Targeting IL-6/STAT3 Signaling Pathway.OncoTargets and therapy · 2019Article
- ARHGAP10 Inhibits the Proliferation and Metastasis of CRC Cells via Blocking the Activity of RhoA/AKT Signaling Pathway.OncoTargets and therapy · 2019Article
- Article
- Integrated genomic analysis of clear cell ovarian cancers identified PRKCI as a potential therapeutic target.Oncotarget · 2017Article
- FKBP14 overexpression contributes to osteosarcoma carcinogenesis and indicates poor survival outcome.Oncotarget · 2016Article
- Fluorouracil-based preoperative chemoradiotherapy with or without oxaliplatin for stage II/III rectal cancer: a 3-year follow-up study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2015Article
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Abstract
objectiveIdentification of colorectal cancer (CRC) metastasis genes is one of the most important issues in CRC research. For the purpose of mining CRC metastasis-associated genes, an integrated analysis of microarray data was presented, by combined with evidence acquired from comparative genomic hybridization (CGH) data.
methodsGene expression profile data of CRC samples were obtained at Gene Expression Omnibus (GEO) website. The 15 important chromosomal aberration sites detected by using CGH technology were used for integrated genomic and transcriptomic analysis. Significant Analysis of Microarray (SAM) was used to detect significantly differentially expressed genes across the whole genome. The overlapping genes were selected in their corresponding chromosomal aberration regions, and analyzed by using the Database for Annotation, Visualization and Integrated Discovery (DAVID). Finally, SVM-T-RFE gene selection algorithm was applied to identify metastasis-associated genes in CRC.
resultsA minimum gene set was obtained with the minimum number [14] of genes, and the highest classification accuracy (100%) in both PRI and META datasets. A fraction of selected genes are associated with CRC or its metastasis.
conclusionsOur results demonstrated that integration analysis is an effective strategy for mining cancer-associated genes.
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