2013
DOI: 10.1016/j.nbd.2013.05.011
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A long non-coding RNA signature in glioblastoma multiforme predicts survival

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Cited by 193 publications
(172 citation statements)
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“…Existing company and university databases that are currently not being investigated should be explored. Although the lncRNA data profile is large, the mining approach has been demonstrated to be effective when using a proper algorithm (30). In addition, when using data mining for medical research, the dataset should be large and confirmed as reliable.…”
Section: Discussionmentioning
confidence: 99%
“…Existing company and university databases that are currently not being investigated should be explored. Although the lncRNA data profile is large, the mining approach has been demonstrated to be effective when using a proper algorithm (30). In addition, when using data mining for medical research, the dataset should be large and confirmed as reliable.…”
Section: Discussionmentioning
confidence: 99%
“…Currently, a variety of large-scale genomic studies, such as TCGA, are being used to investigate the abnormal expression profiles of lncRNAs in tumor; 97 however, the molecular nature of most lncRNAs remains poorly characterized. Due to their complicated structural characteristics, tissue-specific expression, and specific temporal and spatial expression patterns, the detailed functions and mechanisms of one lncRNA may be significantly different in different tumors.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…Accumulating evidence has shown that lncRNAs can drive carcinogenesis by promoting cell proliferation through the regulation of cell cycle and apoptosis (17,19,45). Studies have found that lncRNAs can be used in predicting survival rates in patients with glioma (46), and are potential biomarkers and therapeutic targets for glioma (47,48). However, the roles of lncRNAs in glioma remain to be fully elucidated.…”
Section: Discussionmentioning
confidence: 99%