ArticleOncology reports2017
Identification of hub genes, key miRNAs and potential molecular mechanisms of colorectal cancer.
Article in Oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 47 citations in OpenAlex.
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- Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.Endocrine · 2024Article
- CircABCB10 Promotes the Apoptosis and Inflammatory Response of 16HBE Cells by Cigarette Smoke Extract by Targeting miR-130a/PTEN Axis.Iranian journal of public health · 2024Article
- The impact of SLC10A3 on prognosis and immune microenvironment in colorectal adenocarcinoma.European journal of medical research · 2024Article
- Identification of candidate biomarkers and prognostic analysis of recurrence in colorectal cancer.Cancer biomarkers : section A of Disease markers · 2024Article
- Bioinformatical analysis of the key differentially expressed genes for screening potential biomarkers in Wilms tumor.Scientific reports · 2023Article
- Kinase Inhibitors in Genetic Diseases.International journal of molecular sciences · 2023Review
- Investigating the Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2021Article
- Comprehensive transcriptome profiling of Taiwanese colorectal cancer implicates an ethnic basis for pathogenesis.Scientific reports · 2020Article
- SGK1 in Human Cancer: Emerging Roles and Mechanisms.Frontiers in oncology · 2020Review
- Prognostic Model of Colorectal Cancer Constructed by Eight Immune-Related Genes.Frontiers in molecular biosciences · 2020Article
- Application of cAMP-dependent catalytic subunit β (PRKACB) Low Expression in Predicting Worse Overall Survival: A Potential Therapeutic Target for Colorectal Carcinoma.Journal of Cancer · 2020Article
- The Construction and Comprehensive Prognostic Analysis of the LncRNA-Associated Competitive Endogenous RNAs Network in Colorectal Cancer.Frontiers in genetics · 2020Article
- Desmoglein 3 and Keratin 14 for Distinguishing Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.OncoTargets and therapy · 2020Article
- Screening of potential biomarkers and their predictive value in early stage non-small cell lung cancer: a bioinformatics analysis.Translational lung cancer research · 2019Article
- G Protein γ subunit 7 loss contributes to progression of clear cell renal cell carcinoma.Journal of cellular physiology · 2019Article
- Article
- MiR-552 promotes the proliferation, migration and EMT of hepatocellular carcinoma cells by inhibiting AJAP1 expression.Journal of cellular and molecular medicine · 2019Article
- Serum- and Glucocorticoid-induced Kinase Sgk1 Directly Promotes the Differentiation of Colorectal Cancer Cells and Restrains Metastasis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the most common cancer of the digestive system. The aim of the present study was to identify the potential biomarkers and uncover the underlying mechanisms. The gene and miRNA expression profiles were obtained from GEO database. The differentially expressed genes (DEGs) and miRNAs (DE miRNAs) were identified by GEO2R. The gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by KOBAS 3.0. The protein-protein interaction (PPI) network and miRNA-gene network were constructed by Cytoscape software. Then, the identified genes were verified by quantitative real-time PCR in both CRC tissue samples and cell lines. A total of 600 upregulated DEGs, 283 downregulated DEGs, 13 upregulated DE miRNAs and 7 downregulated DE miRNAs were identified. GO analysis results showed that upregulated DEGs were significantly enriched in binding, organelle and cellular process. Downregulated DEGs were enriched in binding, extracellular region and chemical homeostasis. KEGG analysis showed that the DEGs were mostly enriched in cell cycle and pathways in cancer. A total of eight genes were identified as biomarkers, including CAD, ITGA2, E2F3, BCL2, PRKACB, IGF1, SGK1 and NR3C1. Experimental validation showed that seven of the eight identified genes had the same expression trend as predicted, except for ITGA2. Besides, hsa-miR-552 and hsa‑miR-30a were identified as key miRNAs. the present study provides a series of biomarkers and mechanisms for the diagnosis and therapy of CRC. We also prove that although bioinformatics analysis is a wonderful approach, experiment validation is necessary.
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