ArticleMedical science monitor : international medical journal of experimental and clinical research2018
Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Exploration and analysis of differentially expressed genes in Epstein-Barr virus negative and positive plasmablastic lymphoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
- Differential Expression of Decorin in Metastasising Colorectal Carcinoma Is Regulated byBiomedicines · 2022Article
- Identification and Validation of Dilated Cardiomyopathy-Related Genes via Bioinformatics Analysis.International journal of general medicine · 2022Article
- Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.Clinical rheumatology · 2021Article
- mRNA expression level ofExperimental and therapeutic medicine · 2021Article
- Integration of gene expression data identifies key genes and pathways in colorectal cancer.Medical oncology (Northwood, London, England) · 2021Article
- The Association between Periodontitis and Human Colorectal Cancer: Genetic and Pathogenic Linkage.Life (Basel, Switzerland) · 2020Article
- Bioinformatics Analysis Identifies a Novel Role ofCancer management and research · 2020Article
- A network view of microRNA and gene interactions in different pathological stages of colon cancer.BMC medical genomics · 2019Article
- Insulin-Like Growth Factor 2 (IGF2) Signaling in Colorectal Cancer-From Basic Research to Potential Clinical Applications.International journal of molecular sciences · 2019Review
- Novel miRNAs as potential biomarkers in stage II colon cancer: microarray analysis.Molecular biology reports · 2019Article
- The transcriptome difference between colorectal tumor and normal tissues revealed by single-cell sequencing.Journal of Cancer · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Colorectal cancer (CRC) is an extremely common gastrointestinal malignancy. MATERIAL AND METHODS Three mRNA and 2 microRNA microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and microRNAs (DEMs) were obtained. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) program was utilized to perform gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Protein-protein interaction (PPI) network analysis was performed with the Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape and Molecular Complex Detection (MCODE). Kaplan-Meier curves were plotted to determine overall survival (OS) estimates. DEMs targets were predicted by miRWalk. Quantitative reverse transcription polymerase chain reaction (QRT-PCR) was utilized to detect the expression of genes and microRNAs. RESULTS A total of 264 DEGs and 8 DEMs were obtained. GO analysis revealed that the DEGs were enriched in terms of cell structure, digestion, receptor binding, and extracellular material (ECM). KEGG pathway analysis showed that the DEGs were enriched in ECM interaction and mineral absorption. Additionally, a PPI network consisting of 181 nodes and 450 edges was established. Three modules with 38 high-degree hubs were extracted from the PPI network and found to be involved in pathways such as chemokine signaling. Five DEGs located in the network of DEM-DEG pairs were associated with the overall survival of CRC patients. Furthermore, hsa-miR-551b was demonstrated to be significantly down-regulated in CRC tissues. CONCLUSIONS The key biomarkers could provide new clues for CRC.
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