Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database
المؤلفون المشاركون
Zhou, Wenqing
Pang, Yongkui
Yao, Yunmin
Qiao, Huiying
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-18
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Long noncoding RNA (lncRNA) plays a critical role in the development of tumors.
The aim of our study was construction of a lncRNA signature model to predict breast cancer (BRCA) patient survival.
We downloaded RNA-seq data and relevant clinical information from the Cancer Genome Atlas (TCGA) database.
Differentially expressed lncRNA were computed using the “edgeR” package and subjected to the univariate and multivariate Cox regression analysis.
Corresponding protein-coding genes were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis.
Finally, 521 differentially expression lncRNA were obtained.
We constructed a ten-lncRNA signature model (LINC01208, RP5-1011O1.3, LINC01234, LINC00989, RP11-696F12.1, RP11-909N17.2, CTC-297N7.9, CTA-384D8.34, CTC-276P9.4, and MAPT-IT1) to predict BRCA patient survival using the multivariate Cox proportional hazard regression model.
The C-index was 0.712, and AUC scores of training, test, and entire sets were 0.746, 0.717, and 0.732, respectively.
Univariate Cox regression analysis indicated that age, tumor status, N status, M status, and risk score were significantly related to overall survival in patients with BRCA.
Further, the multivariate analysis showed that risk score and M status had outstanding independent prognostic values, both with p<0.001.
The Gene Ontology (GO) function and KEEG pathway analysis was primarily enriched in immune response, receptor binding, external surface of plasma membrane, signal transduction, cytokine-cytokine receptor interaction, and cell adhesion molecules (CAMs).
Finally, we constructed a ten-lncRNA signature model that can serve as an independent prognostic model to predict BRCA patient survival.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Wenqing& Pang, Yongkui& Yao, Yunmin& Qiao, Huiying. 2020. Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database. Analytical Cellular Pathology،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126196
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Wenqing…[et al.]. Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database. Analytical Cellular Pathology No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1126196
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Wenqing& Pang, Yongkui& Yao, Yunmin& Qiao, Huiying. Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database. Analytical Cellular Pathology. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126196
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126196
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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