ArticleOncology letters2016
Identification of potential therapeutic targets for colorectal cancer by bioinformatics analysis.
Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
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- Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation.Frontiers in molecular biosciences · 2022Article
- Smell Detection Agent Optimisation Framework and Systems Biology Approach to Detect Dys-Regulated Subnetwork in Cancer Data.Biomolecules · 2021Article
- Identification of Hub Genes and Immune Cell Infiltration Characteristics in Alzheimer's Disease.Journal of healthcare engineering · 2021Article
- Identification of candidate genes and miRNAs associated with neuropathic pain induced by spared nerve injury.International journal of molecular medicine · 2019Article
- Impact of Colon-Specific DNA Methylation-Regulated Gene Modules on Colorectal Cancer Patient Survival.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- OMICfpp: a fuzzy approach for paired RNA-Seq counts.BMC genomics · 2019Article
- Comprehensive clinical implications of homeobox A10 in 3,199 cases of non-small cell lung cancer tissue samples combining qRT-PCR, RNA sequencing and microarray data.American journal of translational research · 2019Article
- Development of a 21-miRNA Signature Associated With the Prognosis of Patients With Bladder Cancer.Frontiers in oncology · 2019Article
- Effect of KNL1 on the proliferation and apoptosis of colorectal cancer cells.Technology in cancer research & treatment · 2019Article
- Anticancer activity of calyx of Diospyros kaki Thunb. through downregulation of cyclin D1 via inducing proteasomal degradation and transcriptional inhibition in human colorectal cancer cells.BMC complementary and alternative medicine · 2017Article
- Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis.International journal of molecular sciences · 2017Article
- Effects of Sepantronium Bromide (YM-155) on the Whole Transcriptome of MDA-MB-231 Cells: Highlight on Impaired ATR/ATM Fanconi Anemia DNA Damage Response.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to identify potential therapeutic targets for colorectal cancer (CRC). The gene expression profile GSE32323, containing 34 samples, including 17 specimens of CRC tissues and 17 of paired normal tissues from CRC patients, was downloaded from the Gene Expression Omnibus database. Following data preprocessing using the Affy and preprocessCore packages, the differentially-expressed genes (DEGs) between the two types of samples were identified with the Linear Models for Microarray Analysis package. Next, functional and pathway enrichment analysis of the DEGs was performed using the Database for Annotation Visualization and Integrated Discovery. The protein-protein interaction (PPI) network was established using the Search Tool for the Retrieval of Interacting Genes database. Utilizing WebGestalt, the potential microRNAs (miRNAs/miRs) of the DEGs were screened and the integrated miRNA-target network was built. A cohort of 1,347 DEGs was identified, the majority of which were mainly enriched in cell cycle-related biological processes and pathways. Cyclin-dependent kinase 1 (
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