MP28-07 DEVELOPMENT AND VALIDATION OF LNCRNAS–BASED NOMOGRAM FOR PREDICTION OF BIOCHEMICAL RECURRENCE IN PROSTATE CANCER BY BIOINFORMATICS ANALYSIS

作者
Ning Shao,Yuan Qu,Fang Wan,Ye Ding
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:201 (Supplement 4)
标识
DOI:10.1097/01.ju.0000555712.89713.6b
摘要

You have accessJournal of UrologyProstate Cancer: Markers II (MP28)1 Apr 2019MP28-07 DEVELOPMENT AND VALIDATION OF LNCRNAS–BASED NOMOGRAM FOR PREDICTION OF BIOCHEMICAL RECURRENCE IN PROSTATE CANCER BY BIOINFORMATICS ANALYSIS Ning Shao*, Yuan Qu, Fang Wan, and Ding Ye Ning Shao*Ning Shao* More articles by this author , Yuan QuYuan Qu More articles by this author , Fang WanFang Wan More articles by this author , and Ding YeDing Ye More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555712.89713.6bAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Early biochemical recurrence (BCR) was considered as a sign for clinical recurrence and metastasis of prostate cancer (PCa). The purpose of the present study was to identify a lncRNA-based nomogram that can predict BCR of PCa accurately. METHODS: Bioinformatics analysis, such as propensity score matching (PSM) and differentially expressed genes (DEGs) analyses were used to identify candidate lncRNAs for further bioinformatics analysis. LASSO Cox regression model was used to select the most significant prognostic lncRNAs and construct the lncRNAs signature for predicting BCR in discovery set. Additionally, a nomogram based on our lncRNAs signature was also formulated. Both lncRNAs signature and nomogram were validated in test set. GSEA was carried out to identify various lncRNAs sets which share a common biological function, chromosomal location, or regulation. RESULTS: A total of 457 patients with sufficient BCR information were included in our analysis. Finally, a five lncRNAs signature significantly associated with BCR was identified in discovery set (HR=0.44, 95%CI: 0.27-0.72, C-index = 0.63) and validated in test set (HR=0.22, 95%CI: 0.09-0.56, C-index = 0.65). Additionally, the lncRNAs-based nomogram showed significant performance for predicting BCR in both discovery set (C-index = 0.74) and test set (C-index = 0.78). CONCLUSIONS: In conclusion, our lncRNAs-based nomogram is a reliable prognostic tool for BCR in PCa patients. In addition, the present study put forward the direction for the further investigation on the mechanism of PCa progression. Source of Funding: none shanghai, China, People’s Republic of© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e405-e406 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ning Shao* More articles by this author Yuan Qu More articles by this author Fang Wan More articles by this author Ding Ye More articles by this author Expand All Advertisement PDF downloadLoading ...

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