Table 2 The main features of the included studies on miR-106-related combination markers
First author | Year | Country | Ethnicity | Sample size (case/control) | N | Male/femal (case) | Sample source | Methods | MicroRNA | AUC | Sencitivity (%) | Specificity (%) | QUADAS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zhou et al. | 2010 | China | Asian | 90/27 | 117 | 63/27 | Serum | qRT-PCR | miR-106a and miR-17 | 0.741 | 62.96 | 80.49 | 5 |
Shiotani et al. | 2013 | Japan | Asian | 62/70 | 132 | 47/15 | Serum | qRT-PCR | miR-106b and miR-21 | NA | 69.00 | 69.40 | 6 |
Zeng et al. | 2014 | China | Asian | 40/36 | 76 | 28/12 | Serum | qRT-PCR | miR-106b and miR-17 | 0.913 | 83.30 | 87.50 | 5 |
Wang et al. | 2017 | China | Asian | 110/110 | 220 | NA | Serum | qRT-PCR | miR-106a and miR-19b | 0.814 | 71.08 | 82.44 | 5 |
Wang et al. | 2017 | China | Asian | 20/20 | 40 | NA | Serum | qRT-PCR | miR-106a and miR-19b | NA | 95.00 | 90.00 | 5 |