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Identification and Validation of a Potential Prognostic 7-lncRNA Signature for Predicting Survival in Patients with Multiple Myeloma
المؤلفون المشاركون
Zhong, Yun
Liu, Zhe
Li, Dangchi
Liao, Qinyuan
Li, Jingao
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-05
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133447
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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