ArticleOncoTargets and therapy2015
Novel prognostic genes of diffuse large B-cell lymphoma revealed by survival analysis of gene expression data.
Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
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- Microenvironment-related prognostic genes in esophageal cancer.Translational cancer research · 2020Article
- Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profiling.BMC cancer · 2020Article
- Identification of gene modules associated with survival of diffuse large B-cell lymphoma treated with CHOP-based chemotherapy.The pharmacogenomics journal · 2020Article
- Co-expression network analysis identifies a gene signature as a predictive biomarker for energy metabolism in osteosarcoma.Cancer cell international · 2020Article
- Identifying autophagy gene-associated module biomarkers through construction and analysis of an autophagy-mediated ceRNA‑ceRNA interaction network in colorectal cancer.International journal of oncology · 2018Article
- Identification of new progestogen-associated networks in mammalian ovulation using bioinformatics.BMC systems biology · 2018Article
- TLE1 function and therapeutic potential in cancer.Oncotarget · 2017Review
- High Expression of VAV Gene Family Predicts Poor Prognosis of Acute Myeloid Leukemia.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to identify prognostic genes for diffuse large B-cell lymphoma (DLBCL), using bioinformatic methods.
methodsFive gene expression data sets were downloaded from the Gene Expression Omnibus database. Significance analysis of microarrays algorithm was used to identify differentially expressed genes (DEGs) from two data sets. Functional enrichment analysis was performed for the DEGs with the Database for Annotation, Visualization and Integration Discovery (DAVID). Survival analysis was performed with the Kaplan-Meier method using function survfit from package survival of R for the other three data sets. Cox univariate regression analysis was used to further screen out prognostic genes.
resultsThirty-one common DEGs were identified in the two data sets, mainly enriched in the regulation of lymphocyte activation, immune response, and interleukin-mediated signaling pathway. Combined with 47 DLBCL-related genes acquired by literature retrieval, a total of 78 potential prognostic genes were obtained. Cases from the other three data sets were used in hierarchical clustering, and the 78 genes could cluster them into several subtypes with significant differences in survival curves. Cox univariate regression analysis revealed 45, 33, and eleven prognostic genes in the three data sets, respectively. Five common prognostic genes were revealed, including LCP2, TNFRSF9, FUT8, IRF4, and TLE1, among which LCP2, FUT8, and TLE1 were novel prognostic genes.
conclusionFive prognostic genes of DLBCL were identified in this study. They could not only be used for molecular subtyping of DLBCL but also be potential targets for treatment.
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