Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis
المؤلفون المشاركون
Ma, Yi
Ma, Min
Jiang, Xuefeng
Zhang, Guijuan
Wu, Jieyan
Lin, Shujun
Liu, Yusheng
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-11
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Purpose.
The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis.
The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer.
Methods.
Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles.
Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis.
Stata and Meta-Disc software were used to conduct the meta-analysis.
Results.
33 articles including 4500 cases were identified in our meta-analysis.
lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively.
The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues.
In addition, heterogeneity was clearly apparent but was not caused by the threshold effect.
Conclusion.
This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, Xuefeng& Zhang, Guijuan& Wu, Jieyan& Lin, Shujun& Liu, Yusheng& Ma, Yi…[et al.]. 2020. Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1137929
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, Xuefeng…[et al.]. Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis. BioMed Research International No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1137929
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, Xuefeng& Zhang, Guijuan& Wu, Jieyan& Lin, Shujun& Liu, Yusheng& Ma, Yi…[et al.]. Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1137929
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1137929
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