Competing Endogenous RNA and Coexpression Network Analysis for Identification of Potential Biomarkers and Therapeutics in association with Metastasis Risk and Progression of Prostate Cancer
المؤلفون المشاركون
Du, Guan-Hua
Xiang, Qian
Zhang, Zhuo
Cui, Yi-Min
Pang, Xiaocong
Liu, Ai-Lin
Li, Wan
Zhao, Ying
Wang, Jinhua
Wu, Shiliang
المصدر
Oxidative Medicine and Cellular Longevity
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-08-05
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص EN
Prostate cancer (PCa) is the most frequently diagnosed malignant neoplasm in men.
Despite the high incidence, the underlying pathogenic mechanisms of PCa are still largely unknown, which limits the therapeutic options and leads to poor prognosis.
Herein, based on the expression profiles from The Cancer Genome Atlas (TCGA) database, we investigated the interactions between long noncoding RNA (lncRNA) and mRNA by constructing a competing endogenous RNA network.
Several competing endogenous RNAs could participate in the tumorigenesis of PCa.
Six lncRNA signatures were identified as potential candidates associated with stage progression by the Kolmogorov-Smirnov test.
In addition, 32 signatures from the coexpression network had potential diagnostic value for PCa lymphatic metastasis using machine learning algorithms.
By targeting the coexpression network, the antifungal compound econazole was screened out for PCa treatment.
Econazole could induce growth restraint, arrest the cell cycle, lead to apoptosis, inhibit migration, invasion, and adhesion in PC3 and DU145 cell lines, and inhibit the growth of prostate xenografts in nude mice.
This systematic characterization of lncRNAs, microRNAs, and mRNAs in the risk of metastasis and progression of PCa will aid in the identification of candidate prognostic biomarkers and potential therapeutic drugs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pang, Xiaocong& Zhao, Ying& Wang, Jinhua& Li, Wan& Xiang, Qian& Zhang, Zhuo…[et al.]. 2019. Competing Endogenous RNA and Coexpression Network Analysis for Identification of Potential Biomarkers and Therapeutics in association with Metastasis Risk and Progression of Prostate Cancer. Oxidative Medicine and Cellular Longevity،Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1205588
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pang, Xiaocong…[et al.]. Competing Endogenous RNA and Coexpression Network Analysis for Identification of Potential Biomarkers and Therapeutics in association with Metastasis Risk and Progression of Prostate Cancer. Oxidative Medicine and Cellular Longevity No. 2019 (2019), pp.1-21.
https://search.emarefa.net/detail/BIM-1205588
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pang, Xiaocong& Zhao, Ying& Wang, Jinhua& Li, Wan& Xiang, Qian& Zhang, Zhuo…[et al.]. Competing Endogenous RNA and Coexpression Network Analysis for Identification of Potential Biomarkers and Therapeutics in association with Metastasis Risk and Progression of Prostate Cancer. Oxidative Medicine and Cellular Longevity. 2019. Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1205588
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1205588
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