Table 1.
No. | Author | Country | Year | Sample size | Sample | miRNA | Expression | Diagnostic power | |||
---|---|---|---|---|---|---|---|---|---|---|---|
MM | HC | AUC | SENC | SPEC | |||||||
1 | Li J (14) | China | 2020 | 23 | 18 | serum | miR-134-5P | ↑ | 0.812 | 0.870 | 0.667 |
2 | serum | miR-107 | ↑ | 0.766 | 0.564 | 0.889 | |||||
3 | serum | miR-15a-5p | ↑ | 0.804 | 0.870 | 0.610 | |||||
4 | Gupta N (15) | India | 2019 | 30 | 30 | serum | miR203 | ↓ | 0.930 | 0.833 | 0.833 |
5 | serum | miR143 | ↓ | 0.864 | 0.767 | 0.767 | |||||
6 | serum | miR144 | ↓ | 0.784 | 0.733 | 0.733 | |||||
7 | serum | miR199 | ↓ | 0.900 | 0.800 | 0.800 | |||||
8 | Shen X (16) | China | 2017 | 71 | 46 | serum | miR-4449 | ↑ | 0.885 | 0.789 | 0.913 |
9 | JIANG Y (17) | China | 2018 | 35 | 20 | plasma | miR-125b-5p | ↑ | 0.954 | 0.860 | 0.960 |
10 | plasma | miR-490-3p | ↑ | 0.866 | 0.600 | 0.850 | |||||
11 | Qu X (18) | China | 2014 | 40 | 20 | plasma | miR-483-5p | ↑ | 0.745 | 0.580 | 0.900 |
12 | plasma | miR-20a | ↓ | 0.740 | 0.630 | 0.850 | |||||
13 | Kubiczkova L (19) | Czech | 2013 | 103 | 30 | serum | miR-744 | ↓ | 0.715 | 0.728 | 0.667 |
14 | serum | miR-130a | ↓ | 0.722 | 0.575 | 0.900 | |||||
15 | serum | miR-34a | ↑ | 0.790 | 0.777 | 0.700 | |||||
16 | serum | let-7d | ↓ | 0.804 | 0.641 | 0.867 | |||||
17 | serum | let-7e | ↓ | 0.829 | 0.888 | 0.633 | |||||
18 | Yoshizawa S (20) | Japan | 2011 | 62 | 21 | plasma | miR-92a | ↓ | 0.981 | 0.919 | 0.991 |
19 | Jones Cl (21) | UK | 2012 | 24 | 13 | serum | miR-720 | ↑ | 0.911 | 0.872 | 0.923 |
20 | serum | miR-1308 | ↓ | 0.892 | 0.821 | 0.923 | |||||
21 | Hao M (22) | China | 2015 | 108 | 56 | Serum | miR-4254 | ↑ | 0.926 | 0.793 | 0.985 |
22 | Serum | miR-19a | ↓ | 0.910 | 0.773 | 0.897 | |||||
23 | Serum | miR-92a | ↓ | 0.830 | 0.724 | 0.869 | |||||
24 | Serum | miR-135b-5p | ↑ | 0.810 | 0.667 | 0.833 | |||||
25 | Serum | miR-214-3p | ↑ | 0.720 | 0.625 | 0.833 | |||||
26 | Serum | miR-3658 | ↑ | 0.720 | 0.714 | 0.667 | |||||
27 | Serum | miR-33b | ↑ | 0.630 | 0.633 | 0.815 | |||||
28 | Y u J (13) | China | 2014 | 40 | 30 | serum | miR-202 | ↓ | 0.711 | 0.800 | 0.600 |
29 | Sevcikova S (23) | Czech | 2013 | 91 | 30 | Serum | miR-29a | ↑ | 0.832 | 0.880 | 0.700 |
miRNA cluster | |||||||||||
30 | Kubiczkova L (19) | Czech | 2013 | 103 | 30 | serum | miR-34a+let7e | N/A | 0.898 | 0.806 | 0.867 |
31 | Jones Cl (21) | UK | 2014 | 24 | 13 | serum | miR-1308/miR-720 | N/A | 0.986 | 0.974 | 0.923 |
32 | Hao M (22) | China | 2015 | 108 | 56 | Serum | miR-4254/miR-19a | N/A | 0.950 | 0.917 | 0.905 |
AUC, area under the curve; HC, health control; MM, multiple myeloma; N/A, Not applicable; SENS, sensitivity; SPEC, specificity; ↑, increase; ↓, decrease.