ArticlePeerJ2020
Identification of key gene modules and hub genes of human mantle cell lymphoma by coexpression network analysis.
Article in PeerJ, 2020. 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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15 citing papers in PubMed, 19 citations in OpenAlex.
- Inhibition of CDC20 suppresses the development and progression of mantle cell lymphoma through PI3K/AKT pathway.Annals of hematology · 2026Article
- Potential diagnostic markers and therapeutic targets for obstructive sleep apnea with comorbid depression based on bioinformatics analysis.Frontiers in genetics · 2025Article
- Transcriptomic and Metabolomics Joint Analyses Reveal the Influence of Gene and Metabolite Expression in Blood on the Lactation Performance of Dual-Purpose Cattle (International journal of molecular sciences · 2024Article
- Intramolecular autoinhibition regulates the selectivity of PRPF40A tandem WW domains for proline-rich motifs.Nature communications · 2024Article
- Transcriptome meta-analysis reveals the hair genetic rules in six animal breeds and genes associated with wool fineness.Frontiers in genetics · 2024Article
- Never a dull enzyme, RNA polymerase II.Transcription · 2023Review
- p53 directly downregulates the expression of CDC20 to exert anti-tumor activity in mantle cell lymphoma.Experimental hematology & oncology · 2023Article
- Clinical Prognostic Implications of Wnt Hub Genes Expression in Medulloblastoma.Cellular and molecular neurobiology · 2023Article
- First Report of FARSA in the Regulation of Cell Cycle and Survival in Mantle Cell Lymphoma Cells via PI3K-AKT and FOXO1-RAG1 Axes.International journal of molecular sciences · 2023Article
- Identification of immune-related genes and development of a prognostic model in mantle cell lymphoma.Annals of translational medicine · 2022Article
- Identification of six hub genes in mantle cell lymphoma patients with BTKi resistance.Annals of translational medicine · 2022Article
- CDC20 in and out of mitosis: a prognostic factor and therapeutic target in hematological malignancies.Journal of experimental & clinical cancer research : CR · 2022Review
- The Predictive Competing Endogenous RNA Regulatory Networks and Potential Prognostic and Immunological Roles of Cyclin A2 in Pan-Cancer Analysis.Frontiers in molecular biosciences · 2022Article
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Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMantle cell lymphoma (MCL) is a rare and aggressive subtype of non-Hodgkin lymphoma that is incurable with standard therapies. The use of gene expression analysis has been of interest, recently, to detect biomarkers for cancer. There is a great need for systemic coexpression network analysis of MCL and this study aims to establish a gene coexpression network to forecast key genes related to the pathogenesis and prognosis of MCL.
methodsThe microarray dataset GSE93291 was downloaded from the Gene Expression Omnibus database. We systematically identified coexpression modules using the weighted gene coexpression network analysis method (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were performed on the modules deemed important. The protein-protein interaction networks were constructed and visualized using Cytoscape software on the basis of the STRING website; the hub genes in the top weighted network were identified. Survival data were analyzed using the Kaplan-Meier method and were compared using the log-rank test.
resultsSeven coexpression modules consisting of different genes were applied to 5,000 genes in the 121 human MCL samples using WGCNA software. GO and KEGG enrichment analysis identified the blue module as one of the most important modules; the most critical pathways identified were the ribosome, oxidative phosphorylation and proteasome pathways. The hub genes in the top weighted network were regarded as real hub genes (IL2RB, CD3D, RPL26L1, POLR2K, KIF11, CDC20, CCNB1, CCNA2, PUF60, SNRNP70, AKT1 and PRPF40A). Survival analysis revealed that seven genes (KIF11, CDC20, CCNB1, CCNA2, PRPF40A, CD3D and PUF60) were associated with overall survival time (
conclusionsThe blue module may play a vital role in the pathogenesis of MCL. Five real hub genes (KIF11, CDC20, CCNB1, CCNA2 and PUF60) were identified as potential prognostic biomarkers as well as therapeutic targets with clinical utility for MCL.
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