miRNA arm switching identifies novel tumour biomarkers.
miRNA arm switching identifies novel tumour biomarkers.
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miRNA 臂切换识别新的肿瘤生物标志物
DOI：
10.1016/j.ebiom.2018.11.003
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发表时间：
2018-12
期刊：
影响因子：
11.1
通讯作者：
Wong G
中科院分区：
文献类型：
--
作者：
Chen L;Sun H;Wang C;Yang Y;Zhang M;Wong G
据报道，microRNA在癌症中起着关键作用，并具有作为诊断生物标志物的潜力。在miRNA生物发生过程中，miRNA发夹前体的一条链被优先选择为功能成熟的miRNA，而另一条链通常被降解。当链偏好改变时，臂切换发生。这种偏好可以是不同的，并且可以根据物种、组织类型或发育阶段而动态变化。由于下一代测序方法的最新进展，在多种癌症中观察到臂转换。肿瘤miRNA-Seq数据集收集自癌症基因组图谱（TCGA）。应用支持向量机（SVM）方法结合5倍交叉验证来选择臂转换的miRNA肿瘤标志物的最佳组合。还应用生存分析来识别与患者生存相关的miRNA标记物。我们观察到51个臂转换的miRNA，其中7个与患者生存相关。鉴定出23个具有良好诊断价值的1-组合臂转换miRNAs。有趣的是，与其他32种癌症相比，卵巢癌在手臂转换模式上表现出显着差异。这些结果表明，臂转换miRNA可用作各种癌症的潜在生物标志物。这项工作得到了（编号61472158，61572227）和健康科学学院（MYRG 2016 -00101-FHS）的部分支持。
microRNAs have been reported to play critical roles in cancer and to have potential as diagnostic biomarkers. During miRNA biogenesis, one strand of the miRNA hairpin precursor is preferentially selected as a functionally mature miRNA, while the other strand is typically degraded. Arm switching occurs when the strand preference is changed. This preference can be different and can change dynamically depending upon the species, tissue types, or development stages. Due to recent advances in next-generation sequencing methods, arm switching has been observed in a variety of cancers. A tumour miRNA-Seq dataset was collected from The Cancer Genome Atlas (TCGA). The support vector machine (SVM) method combined with 5-fold cross validation was applied to select the best combination of arm-switched miRNA tumour markers. Survival analysis was also applied to identify patient survival associated miRNA markers. We observed 51 arm-switched miRNAs and of these, 7 were associated with patient survival. Twenty-three 1-combination arm switching miRNAs with excellent diagnostic value were identified. Interestingly, ovarian cancer showed a significant difference in arm switching pattern compared with 32 other cancers. These results suggest that arm switching miRNAs could be used as potential biomarkers for various cancers. This work was partially supported by the (no. 61472158, 61572227), and Faculty of Health Sciences (MYRG2016-00101-FHS).
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影响因子：
4.4
作者：
Li SC;Liao YL;Ho MR;Tsai KW;Lai CH;Lin WC
通讯作者：
Lin WC
影响因子：
11
作者：
Choo KB;Soon YL;Nguyen PN;Hiew MS;Huang CJ
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影响因子：
14.9
作者：
Karagkouni D;Paraskevopoulou MD;Chatzopoulos S;Vlachos IS;Tastsoglou S;Kanellos I;Papadimitriou D;Kavakiotis I;Maniou S;Skoufos G;Vergoulis T;Dalamagas T;Hatzigeorgiou AG
通讯作者：
Hatzigeorgiou AG
影响因子：
7
作者：
de Wit, Elzo;Linsen, Sam E. V.;Berezikov, Eugene
通讯作者：
Berezikov, Eugene
影响因子：
6.4
作者：
Lee, Eun Jon;Gusev, Yuriy;Schmittgen, Thomas D.
通讯作者：
Schmittgen, Thomas D.