Comprehensive analysis of lncRNA-mRNA co-expression patterns identifies immune-associated lncRNA biomarkers in ovarian cancer malignant progression

被引:96
|
作者
Guo, Qiuyan [1 ]
Cheng, Yan [1 ]
Liang, Tian [1 ]
He, Yanan [1 ]
Ren, Chengcheng [1 ]
Sun, Liyuan [1 ]
Zhang, Guangmei [1 ]
机构
[1] Harbin Med Univ, Affiliated Hosp 1, Harbin 150001, Heilongjiang, Peoples R China
来源
SCIENTIFIC REPORTS | 2015年 / 5卷
基金
黑龙江省自然科学基金;
关键词
LONG NONCODING RNA; ANNOTATION; METASTASIS; EXPRESSION; PREDICTION; EVOLUTION;
D O I
10.1038/srep17683
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ovarian cancer (OV) is the most common and lethal gynecological tumor with a poor prognosis for women; however, the regulatory roles of the long non-coding RNAs (lncRNAs) in ovarian malignant progression are insufficiently understood. Here, we investigated the expression patterns of lncRNAs and mRNAs in the high-throughput molecular profiles of 399 OV patients and constructed a functional lncRNA-mRNA co-expression network across OV malignant progression. We found that two protective lncRNAs, RP11-284N8.3.1 and AC104699.1.1, were not only differentially expressed throughout the progression of malignant OV but were also independently predictive of the survival of patients with different OV stages. A functional analysis of the two lncRNAs predicted their roles in immune system activation and other anti-tumor processes in the OV microenvironment. Integrating these two lncRNAs into an OV risk model was able to significantly stratify patients into different risk groups. Overall, our analysis effectively provides insights into the lncRNA association with malignant OV progression. The two-lncRNA signature is a candidate biomarker for the prognosis of patients with OV and may enable a more accurate prediction of survival.
引用
收藏
页数:12
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