Table 1.
Author | Year | Country | microRNAs | Regulation mode | Sample size |
Speci-men | Diagnostic power |
|||
---|---|---|---|---|---|---|---|---|---|---|
OS patients | Healthy | Sen (%) | Spe (%) | AUC | ||||||
Single microRNA | ||||||||||
Zhu [29] | 2017 | China | miR-17-5p | Upregulated | 62 | 36 | Plasma | 0.500 | 0.972 | 0.793 |
Fujiwara [30] | 2017 | Japan | miR-17-5p | Upregulated | 14 | 22 | Serum | 0.643 | 0.846 | 0.720 |
Fujiwara [30] | 2017 | Japan | miR-25-3p | Upregulated | 14 | 22 | Serum | 0.714 | 0.923 | 0.868 |
Tang [31] | 2015 | China | miR-27a | Upregulated | 166 | 60 | Serum | 0.700 | 0.983 | 0.867 |
Zhang [32] | 2017 | China | miR-27b | Upregulated | 51 | 51 | Serum | 0.778 | 0.867 | 0.863 |
Zhi [33] | 2016 | China | miR-34a | Downregulated | 50 | 50 | Serum | 0.867 | 0.686 | 0.830 |
Wang [34] | 2017 | China | miR-34a | Downregulated | 120 | 87 | Serum | 0.680 | 0.920 | 0.830 |
Yao [35] | 2018 | China | miR-101 | Downregulated | 152 | 70 | Serum | 0.790 | 0.829 | 0.850 |
Cong [36] | 2018 | China | miR-124 | Downregulated | 114 | 50 | Serum | 0.798 | 0.860 | 0.846 |
Xiao [37] | 2016 | China | miR-125b | Downregulated | 20 | 20 | Serum | 0.900 | 0.950 | |
Zhou [25] | 2018 | China | miR-139-5p | Downregulated | 98 | 50 | Serum | 0.765 | 0.800 | 0.846 |
Zhang [38] | 2020 | China | miR-144 | Downregulated | 51 | 48 | Serum | 0.738 | 0.882 | 0.852 |
Ma [39] | 2014 | China | miR-148a | Downregulated | 89 | 89 | Plasma | 0.697 | 0.831 | 0.783 |
Wang [40] | 2015 | China | miR-152 | Downregulated | 80 | 20 | Serum | 0.925 | 0.962 | 0.956 |
Wang [41] | 2015 | China | miR-191 | Upregulated | 100 | 20 | Serum | 0.740 | 1 | 0.858 |
Shi [42] | 2020 | China | miR-194 | Downregulated | 124 | 60 | Serum | 0.842 | 0.791 | 0.855 |
Cai [43] | 2015 | China | miR-195 | Downregulated | 166 | 60 | Serum | 0.880 | 0.833 | 0.892 |
Zhou [44] | 2015 | China | miR-199a-5p | Upregulated | 60 | 60 | Serum | 0.883 | 0.767 | 0.861 |
Yang [45] | 2015 | China | miR-211 | Upregulated | 108 | 50 | Serum | 0.657 | 1 | 0.844 |
Zhang [46] | 2016 | China | miR-222 | Downregulated | 57 | 57 | Serum | 0.667 | 0.842 | 0.811 |
Dong [47] | 2016 | China | miR-223 | Downregulated | 122 | 50 | Serum | 0.895 | 0.972 | 0.926 |
Liu [48] | 2019 | China | miR-223 | Downregulated | 53 | 30 | Serum | 0.736 | 0.600 | 0.747 |
Zhang [49] | 2019 | China | miR-223 | Downregulated | 38 | 38 | Serum | 0.763 | 0.947 | 0.900 |
Liu [50] | 2016 | China | miR-300 | Upregulated | 114 | 114 | Serum | 0.842 | 0.886 | 0.885 |
Cao [51] | 2016 | China | miR-326 | Downregulated | 60 | 20 | Serum | 0.837 | 0.945 | 0.897 |
Liu [27] | 2018 | China | miR-375 | Downregulated | 95 | 95 | Serum | 0.840 | 0.844 | 0.830 |
Wang [52] | 2017 | China | miR-491-5p | Downregulated | 72 | 40 | Serum | 0.720 | 0.860 | 0.834 |
Li [53] | 2018 | China | miR-542-3p | Upregulated | 76 | 76 | Serum | 0.778 | 0.936 | 0.841 |
Liu [48] | 2019 | China | miR-586 | Upregulated | 53 | 30 | Serum | 0.642 | 0.700 | 0.743 |
Huang [26] | 2019 | China | miR-663a | Upregulated | 50 | 50 | Plasma | 0.674 | 0.898 | 0.860 |
microRNA clusters | ||||||||||
Ouyang [54] | 2013 | China | miRNA clusters (miR-21, miR-199a-3p, miR-143) |
Downregulated | 40 | 40 | Plasma | 0.905 | 0.938 | 0.953 |
Ren [55] | 2014 | china | miRNA clusters (miR-199b-5p/miR-124) |
Upregulated | 22 | 30 | Plasma | 0.960 | 0.970 | 0.993 |
Lian [56] | 2015 | China | miRNA clusters (miR-195-5p, miR-199a-3p, miR-320a, miR-374a-5p) |
Upregulated | 90 | 90 | Plasma | 0.911 | 0.944 | 0.961 |
Liu [48] | 2019 | China | miRNA clusters (miR-586, miR-223) |
Upregulated | 53 | 30 | Serum | 0.887 | 0.634 | 0.813 |