Competing Endogenous RNA and Coexpression Network Analysis for Identification of Potential Biomarkers and Therapeutics in association with Metastasis Risk and Progression of Prostate Cancer
Joint Authors
Du, Guan-Hua
Xiang, Qian
Zhang, Zhuo
Cui, Yi-Min
Pang, Xiaocong
Liu, Ai-Lin
Li, Wan
Zhao, Ying
Wang, Jinhua
Wu, Shiliang
Source
Oxidative Medicine and Cellular Longevity
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-05
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205588