Identification and Validation of a Potential Prognostic 7-lncRNA Signature for Predicting Survival in Patients with Multiple Myeloma
Joint Authors
Zhong, Yun
Liu, Zhe
Li, Dangchi
Liao, Qinyuan
Li, Jingao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-05
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Background.
An increasing number of studies have indicated that the abnormal expression of certain long noncoding RNAs (lncRNAs) is linked to the overall survival (OS) of patients with myeloma.
Methods.
Gene expression data of myeloma patients were downloaded from the Gene Expression Omnibus (GEO) database (GSE4581 and GSE57317).
Cox regression analysis, Kaplan-Meier, and receiver operating characteristic (ROC) analysis were performed to construct and validate the prediction model.
Single sample gene set enrichment (ssGSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to predict the function of a specified lncRNA.
Results.
In this study, a seven-lncRNA signature was identified and used to construct a risk score system for myeloma prognosis.
This system was used to stratify patients with different survival rates in the training set into high-risk and low-risk groups.
Test set, the entire test set, the external validation set, and the myeloma subtype achieved the authentication of the results.
In addition, functional enrichment analysis indicated that 7 prognostic lncRNAs may be involved in the tumorigenesis of myeloma through cancer-related pathways and biological processes.
The results of the immune score showed that IF_I was negatively correlated with the risk score.
Compared with the published gene signature, the 7-lncRNA model has a higher C-index (above 0.8).
Conclusion.
In summary, our data provide evidence that seven lncRNAs could be used as independent biomarkers to predict the prognosis of myeloma, which also indicated that these 7 lncRNAs may be involved in the progression of myeloma.
American Psychological Association (APA)
Zhong, Yun& Liu, Zhe& Li, Dangchi& Liao, Qinyuan& Li, Jingao. 2020. Identification and Validation of a Potential Prognostic 7-lncRNA Signature for Predicting Survival in Patients with Multiple Myeloma. BioMed Research International،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1133447
Modern Language Association (MLA)
Zhong, Yun…[et al.]. Identification and Validation of a Potential Prognostic 7-lncRNA Signature for Predicting Survival in Patients with Multiple Myeloma. BioMed Research International No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1133447
American Medical Association (AMA)
Zhong, Yun& Liu, Zhe& Li, Dangchi& Liao, Qinyuan& Li, Jingao. Identification and Validation of a Potential Prognostic 7-lncRNA Signature for Predicting Survival in Patients with Multiple Myeloma. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1133447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133447