The Potential Use of Salivary miRNAs as Promising Biomarkers for Detection of Cancer: A Meta-Analysis.
The Potential Use of Salivary miRNAs as Promising Biomarkers for Detection of Cancer: A Meta-Analysis.
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唾液 miRNA 作为有前景的癌症检测生物标志物的潜在用途：荟萃分析
DOI：
10.1371/journal.pone.0166303
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Wei W
中科院分区：
文献类型：
--
作者：
Ding Y;Ma Q;Liu F;Zhao L;Wei W
Background Accumulating evidence has demonstrated that microRNAs (miRNAs) could serve as promising molecular biomarkers for cancer detection. This study aims to systematically assess the diagnostic performance of salivary miRNAs in detection of cancer through a comprehensive meta-analysis. Methods Eligible studies were identified using PubMed and other computerized databases up to October 31, 2015, supplemented by a manual search of references from retrieved articles. The pooled sensitivity, specificity, and other measurements of accuracy of salivary miRNAs in the diagnosis of cancer were analyzed using the bivariate binomial mixed model. Results Seventeen studies from 8 articles with 694 subjects were included in this meta-analysis. All studies have a relatively high score of quality assessment. The overall sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of salivary miRNAs in detection of cancer were 0.77 (95% confidence intervals [CI]: 0.69–0.84), 0.77 (95%CI: 0.65–0.88), 3.37 (95%CI: 2.26–5.02), 0.29 (95%CI: 0.23–0.38), and 11.41 (95%CI: 7.35–17.73), respectively. The AUC was 0.84 (95%CI: 0.80–0.87). Moreover, both whole saliva and saliva supernatant could be used as sources of clinical specimens for miRNAs detection. Conclusions Our meta-analysis demonstrated that salivary miRNAs may serve as potential noninvasive biomarkers for cancer detection. The findings need to be confirmed with further research before it can be applied in the clinic.
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影响因子：
--
作者：
Xie, Zi-Jun;Chen, Gang;Li, Zi-Jun
通讯作者：
Li, Zi-Jun
影响因子：
--
作者：
Deeks, JJ
通讯作者：
Deeks, JJ
影响因子：
2.5
作者：
Kim, Tad;Grobmyer, Stephen R.;Hochwald, Steven N.
通讯作者：
Hochwald, Steven N.
影响因子：
3.7
作者：
Humeau M;Vignolle-Vidoni A;Sicard F;Martins F;Bournet B;Buscail L;Torrisani J;Cordelier P
通讯作者：
Cordelier P
影响因子：
254.7
作者：
Torre, Lindsey A.;Bray, Freddie;Jemal, Ahmedin
通讯作者：
Jemal, Ahmedin