期刊
ONCOTARGETS AND THERAPY
卷 10, 期 -, 页码 2805-2813出版社
DOVE MEDICAL PRESS LTD
DOI: 10.2147/OTT.S128797
关键词
lncRNA; ovarian cancer; prognostic; gene signature; survival
资金
- National Key Research and Development Program on Precision Medicine [2016YFC0901700, 2016YFC0901900, 2016YFC0901600]
- National Key Technology Support Program [2013BAI101B09]
- National High Technology Research and Development Program of China [2015AA020104, 2015AA020108]
Ovarian cancer is one of the most common and lethal gynecological malignancies. The diagnosis of ovarian cancer is often at an advanced stage. Accumulated evidence suggests that long noncoding RNAs (lncRNAs) play important roles during ovarian tumorigenesis. In this study, using the lncRNA-mining approach, we analyzed lncRNA expression profiles of 493 ovarian cancer patients from Gene Expression Omnibus datasets, and identified a signature group of seven lncRNAs (BC037530, AK021924, AK094536, AK094536, BC062365, BC004123 and BC007937) associated with patient survival in the training dataset GSE9891. We also formulated a risk score model to divide patients into low-risk and high-risk groups based on the expression of these seven lncRNAs. We further validated the predictive power of our risk score model in two other datasets, GSE26193 and GSE63885. Our analysis showed that the seven-lncRNA signature can serve as an independent predictor apart from Federation of Gynecology and Obstetrics (FIGO) stage and patient age. Further investigation revealed the seven-lncRNA signature correlated with few critical signaling pathways involved in cancer. Combined, all these findings strongly support that the seven-lncRNA signature can serve as a strong prognosis biomarker.
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