ArticleFrontiers in cell and developmental biology2020
Super-Enhancer Associated Five-Gene Risk Score Model Predicts Overall Survival in Multiple Myeloma Patients.
Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Super enhancer acquisition drives expression of oncogenic PPP1R15B that regulates protein homeostasis in multiple myeloma.Nature communications · 2024Article
- Complete miRNA-15/16 loss in mice promotes hematopoietic progenitor expansion and a myeloid-biased hyperproliferative state.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Survival prediction of stomach cancer using expression data and deep learning models with histopathological images.Cancer science · 2023Article
- Superenhancers as master gene regulators and novel therapeutic targets in brain tumors.Experimental & molecular medicine · 2023Review
- A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration.Frontiers in oncology · 2023Article
- Construction and experimental validation of a signature for predicting prognosis and immune infiltration analysis of glioma based on disulfidptosis-related lncRNAs.Frontiers in immunology · 2023Article
- Hypoxia-Immune-Related Gene SLC19A1 Serves as a Potential Biomarker for Prognosis in Multiple Myeloma.Frontiers in immunology · 2022Article
- Clinical M2 macrophages-related genes to aid therapy in pancreatic ductal adenocarcinoma.Cancer cell international · 2021Article
- Article
- Super-enhancers: a new frontier for epigenetic modifiers in cancer chemoresistance.Journal of experimental & clinical cancer research : CR · 2021Review
- Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis.PeerJ · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple myeloma (MM) is a malignant plasma cell tumor with high heterogeneity, characterized by anemia, hypercalcemia, renal failure, and lytic bone lesions. Although various powerful prognostic factors and models have been exploited, the development of more accurate prognosis and treatment for MM patients is still facing many challenges. Given the essential roles of super-enhancer (SE) associated genes in the tumorigenesis of MM, we tried to initially screen and identify the significant prognostic factors from SE associated genes in MM by the least absolute shrinkage and selection operator (Lasso) penalized Cox regression, univariate and multivariate Cox regression analysis using GSE24080 and GSE9782 datasets. Risk score model of five genes including
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