ArticleBioMed research international2017
Prediction and Validation of Hub Genes Associated with Colorectal Cancer by Integrating PPI Network and Gene Expression Data.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 32 citations in OpenAlex.
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- Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems biology approach.BMC plant biology · 2025Article
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- Atopic dermatitis-associated genetic variants regulate LOC100294145 expression implicating interleukin-27 production and type 1 interferon signaling.The World Allergy Organization journal · 2024Article
- Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta.Scientific reports · 2023Article
- The Potential ofGenes · 2023Article
- Dysregulated Expression of Three Genes in Colorectal Cancer Stratifies Patients into Three Risk Groups.Cancers · 2022Article
- DDX39B drives colorectal cancer progression by promoting the stability and nuclear translocation of PKM2.Signal transduction and targeted therapy · 2022Article
- PLHPP2 inhibits the stemness of colorectal cancer by inactivating the Nrf2 signaling pathway.Journal of Cancer · 2022Article
- Identification of Novel miRNAs, Targeting Genes, Signaling Pathway, and the Small Molecule for Overcoming Oxaliplatin Resistance of Metastatic Colorectal Cancer.BioMed research international · 2022Article
- Comprehensive analysis of the prognosis and immune infiltration for CXC chemokines in colorectal cancer.Aging · 2021Article
- Transcriptomic landscape of early age onset of colorectal cancer identifies novel genes and pathways in Indian CRC patients.Scientific reports · 2021Article
- TBX2 Identified as a Potential Predictor of Bone Metastasis in Lung Adenocarcinoma via Integrated Bioinformatics Analyses and Verification of Functional Assay.Journal of Cancer · 2020Article
- Genome-Wide Transcriptional Analysis Reveals Alternative Splicing Event Profiles in Hepatocellular Carcinoma and Their Prognostic Significance.Frontiers in genetics · 2020Article
- Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.Oncology letters · 2020Article
- Identification of cancer/testis antigen 2 gene as a potential hepatocellular carcinoma therapeutic target by hub gene screening with topological analysis.Oncology letters · 2019Article
- Diagnostic and prognostic values of C‑X‑C motif chemokine ligand 3 in patients with colon cancer.Oncology reports · 2019Article
- Locally advanced rectal cancer transcriptomic-based secretome analysis reveals novel biomarkers useful to identify patients according to neoadjuvant chemoradiotherapy response.Scientific reports · 2019Article
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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
Although hundreds of colorectal cancer- (CRC-) related genes have been screened, the significant hub genes still need to be further identified. The aim of this study was to identify the hub genes based on protein-protein interaction network and uncover their clinical value. Firstly, 645 CRC patients' data from the Tumor Cancer Genome Atlas were downloaded and analyzed to screen the differential expression genes (DEGs). And then, the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed, and PPI network of the DEGs was constructed by Cytoscape software. Finally, four hub genes (CXCL3, ELF5, TIMP1, and PHLPP2) were obtained from four subnets and further validated in our clinical setting and TCGA dataset. The results showed that mRNA expression of CXCL3, ELF5, and TIMP1 was increased in CRC tissues, whereas PHLPP2 mRNA expression was decreased. More importantly, high expression of CXCL3, ELF5, and TIMP1 was significantly associated with lymphatic invasion, distance metastasis, and advanced tumor stage. In addition, a shorter overall survival was observed in patients with increased CXCL3, TIMP1, and ELF5 expression and decreased PHLPP2 expression. In conclusion, the four hub genes screened by our strategy could serve as novel biomarkers for prognosis prediction of CRC patients.
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