Research Papers:

Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer

Meng Zhou _, Yanying Sun, Yifan Sun, Wanying Xu, Zhaoyue Zhang, Hengqiang Zhao, Zhaohua Zhong and Jie Sun

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Oncotarget. 2016; 7:32433-32448. https://doi.org/10.18632/oncotarget.8653

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Meng Zhou1,*, Yanying Sun2,*, Yifan Sun1,*, Wanying Xu1, Zhaoyue Zhang1, Hengqiang Zhao1, Zhaohua Zhong2, Jie Sun1

1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, PR China

2Department of Microbiology, Harbin Medical University, Harbin, 150081, PR China

*These authors have contributed equally to this work

Correspondence to:

Zhaohua Zhong, email: [email protected]

Jie Sun, email: [email protected]

Keywords: long non-coding RNAs, ovarian cancer, outcome, BRCA1/2

Received: January 27, 2016    Accepted: March 28, 2016    Published: April 18, 2016


There is growing evidence of dysregulated long non-coding RNAs (lncRNAs) serving as potential biomarkers for cancer prognosis. However, systematic efforts of searching for an expression-based lncRNA signature for prognosis prediction in ovarian cancer (OvCa) have not been made yet. Here, we performed comprehensive analysis for lncRNA expression profiles and clinical data of 544 OvCa patients from The Cancer Genome Atlas (TCGA), and identified an eight-lncRNA signature with ability to classify patients of the training cohort into high-risk group showing poor outcome and low-risk group showing significantly improved outcome, which was further validated in the validation cohort and entire TCGA cohort. Multivariate Cox regression analysis and stratified analysis demonstrated that the prognostic value of this signature was independent of other clinicopathological factors. Associating the outcome prediction with BRCA1 and/or BRCA2 mutation revealed a superior prognosis performance both in BRCA1/2-mutated and BRCA1/2 wild-type tumors. Finally, a significantly correlation was found between the lncRNA signature and the complete response rate of chemotherapy, suggesting that this eight-lncRNA signature may be a measure to predict chemotherapy response and identify platinum-resistant patients who might benefit from other more efficacious therapies. With further prospective validation, this eight-lncRNA signature may have important implications for outcome prediction and therapy decisions.

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