A long non-coding RNA signature to improve prognosis prediction of gastric cancer
In: Molecular Cancer, Jg. 15, Heft 1
Online
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Zugriff:
Background Increasing evidence suggests long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, however, few related lncRNA signatures have been established for prediction of cancer prognosis. We aimed at developing alncRNA signature to improve prognosis prediction of gastric cancer (GC). Methods Using a lncRNA-mining approach, we performed lncRNA expression profiling in large GC cohorts from Gene Expression Ominus (GEO), including GSE62254 data set (N = 300) and GSE15459 data set (N = 192). We established a set of 24-lncRNAs that were significantly associated with the disease free survival (DFS) in the test series. Results Based on this 24-lncRNA signature, the test series patients could be classified into high-risk or low-risk subgroup with significantly different DFS (HR = 1.19, 95 % CI = 1.13–1.25, P
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A long non-coding RNA signature to improve prognosis prediction of gastric cancer
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| Autor/in / Beteiligte Person: | Wang, Zheng ; Zhu, Xiaoqiang ; Fang, Jing-Yuan ; Tian, Xianglong ; Shen, Chaoqin ; Yan, Tingting ; Yu, Chenyang ; Chen, Haoyan ; Hong, Jie |
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| Zeitschrift: | Molecular Cancer, Jg. 15, Heft 1 |
| Veröffentlichung: | Springer Nature |
| Medientyp: | unknown |
| ISSN: | 1476-4598 (print) |
| DOI: | 10.1186/s12943-016-0544-0 |
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