Copyright
©The Author(s) 2021.
World J Meta-Anal. Dec 28, 2021; 9(6): 568-584
Published online Dec 28, 2021. doi: 10.13105/wjma.v9.i6.568
Published online Dec 28, 2021. doi: 10.13105/wjma.v9.i6.568
Ref. | Country | MicroRNA | MicroRNA expression1 | Sample size | Specimen | Cut off value | Follow-up (mo) | Outcome | Detection method | Survival analysis | Source of HR | NOS score | ||
Total | Low | High | ||||||||||||
Yuan et al[20], 2012 | China | miR-21 | High | 65 | NR | NR | Serum | Median | 46 | OS | RT-PCR | U/M | Reported | 6 |
Ji et al[21], 2013 | China | miR-133a | Low | 92 | 46 | 46 | Tissue | Median | 60 | OS | RT-PCR | U | K-M curve | 6 |
Cai et al[22], 2013 | China | miR-210 | High | 92 | 44 | 48 | Tissue | Median | 100 | OS/PFS | RT-PCR | U | K-M curve | 6 |
Yang et al[23], 2013 | China | miR-132 | Low | 166 | 90 | 76 | Tissue | Median | 100 | OS/DFS | RT-PCR | U/M | K-M curve | 6 |
Li et al[24], 2014 | China | miR-17-92 | High | 117 | 45 | 72 | Tissue | Median | 60 | OS/RFS | RT-PCR | U/M | Reported | 6 |
Xu et al[25], 2014 | China | miR-9 | High | 79 | 39 | 40 | Tissue | Median | 60 | OS | RT-PCR | M | Reported | 6 |
Zhang et al[26], 2014 | China | miR-133b/ 206 | Low | 100 | NR | NR | Serum | 2.7/2.8 | 40 | OS/DFS | RT-PCR | M | K-M curve | 8 |
Cai et al[27], 2014 | China | miR-340 | Low | 92 | NR | NR | Tissue | Median | 100 | OS/PFS | RT-PCR | M | K-M curve | 7 |
Fei et al[28], 2014 | China | miR-9 | High | 118 | NR | NR | Serum | Median | 80 | OS | RT-PCR | U | K-M curve | 6 |
Zhang et al[13], 2014 | China | miR-196a/b | High | 100 | NR | NR | Serum | 4.9/5.5 | 40 | OS/DFS | RT-PCR | M | K-M curve | 8 |
Ma et al[29], 2014 | China | miR-148a | High | 148 | NR | NR | Plasma | Median | 100 | OS/DFS | RT-PCR | U/M | K-M curve | 7 |
Lin et al[30], 2014 | China | miR-17-92 | High | 63 | 25 | 38 | Tissue | Median | 60 | OS | RT-PCR | U | K-M curve | 6 |
Song et al[31], 2014 | China | miR-26a | Low | 144 | 63 | 81 | Tissue | Median | 150 | OS/DFS | RT-PCR | M | K-M curve | 7 |
Wang et al[32], 2014 | China | miR-214 | High | 82 | 33 | 49 | Tissue | Median | 60 | OS/FFS | RT-PCR | U | K-M curve | 7 |
Cai et al[33], 2015 | China | miR-195 | Low | 166 | 88 | 78 | Serum | 1.44 | 100 | OS/DFS | RT-PCR | M | K-M curve | 8 |
Liu et al[34], 2015 | China | miR-126 | Low | 122 | 60 | 62 | Tissue | Median | 60 | OS | RT-PCR | M | Reported | 7 |
Sun et al[35], 2015 | China | miR-217 | Low | 168 | 84 | 84 | Tissue | Median | 80 | OS | RT-PCR | U/M | Reported | 6 |
Wang, et al[36], 2015 | China | miR-152 | Low | 80 | 42 | 38 | Serum | Median | 60 | OS | RT-PCR | M | Reported | 6 |
Yang et al[37], 2015 | China | miR-221 | High | 108 | 55 | 53 | Serum | Median | 60 | OS/RFS | RT-PCR | M | Reported | 7 |
Tang et al[38], 2015 | China | miR-27a | High | 166 | 80 | 86 | Serum | Median | 100 | OS/DFS | RT-PCR | U/M | K-M curve | 8 |
Wang et al[39], 2015 | China | miR-191 | High | 100 | 42 | 58 | Serum | 3.56 | 60 | OS/DFS | RT-PCR | M | K-M curve | 8 |
Cao et al[40], 2016 | China | miR-326 | Low | 60 | 25 | 35 | Serum | Median | 60 | OS | RT-PCR | M | Reported | 6 |
Dong et al[41], 2016 | China | miR-223 | Low | 112 | 53 | 59 | Serum | Median | 60 | OS | RT-PCR | M | Reported | 6 |
Liu et al[42], 2016 | China | miR-300 | High | 114 | 46 | 68 | Serum | Median | 60 | OS/DFS | RT-PCR | U/M | Reported | 6 |
Luo et al[14], 2016 | China | miR-125b | Low | 56 | NR | NR | Plasma | Median | 30 | OS | RT-PCR | U/M | Reported | 7 |
Niu et al[43], 2016 | China | miR-95-3p | Low | 133 | 97 | 36 | Serum | Median | 60 | OS | RT-PCR | M | Reported | 7 |
Pang et al[44], 2016 | China | miR-497 | Low | 185 | 91 | 94 | Serum | Median | 70 | OS | RT-PCR | U/M | Reported | 7 |
Li et al[45], 2016 | China | miR-145 | low | 39 | 19 | 20 | Tissue | Median | 60 | OS | RT-PCR | U | K-M curve | 7 |
Zhang and Wang[46], 2016 | China | miR-222 | High | 57 | 28 | 29 | Serum | Median | 80 | OS/DFS | RT-PCR | U/M | K-M curve | 7 |
Ren et al[47], 2016 | China | miR-21 | High | 84 | 33 | 51 | Tissue | Median | 100 | OS/DFS | RT-PCR | U/M | K-M curve | 6 |
Wang et al[48], 2017 | China | miR-34a | low | 120 | NR | NR | Serum | 4.16 | 60 | OS | RT-PCR | M | Reported | 7 |
Yang et al[49], 2017 | China | miR-203 | Low | 103 | 52 | 51 | Tissue | Median | 60 | OS/DFS | RT-PCR | U/M | Reported | 7 |
Zhu et al[11], 2017 | China | miR-17-5p | High | 62 | NR | NR | Plasma | Median | 70 | OS/PFS | RT-PCR | U/M | Reported | 6 |
Nakka et al[50], 2017 | United States | miR-221 | Low | 32 | NR | NR | Plasma | Median | 150 | OS | RT-PCR | M | K-M curve | 6 |
Zou et al[51], 2017 | China | miR-19a | High | 166 | 80 | 86 | Tissue | Median | 100 | OS/DFS | RT-PCR | U/M | Reported | 7 |
Hu et al[52], 2017 | China | miR-19a | High | 32 | NR | NR | Tissue | Median | 50 | OS | RT-PCR | U/M | Reported | 6 |
Wang et al[53], 2017 | China | miR-491 | Low | 102 | 58 | 44 | Serum | Median | 60 | OS | RT-PCR | U/M | Reported | 7 |
Wang et al[54], 2017 | China | miR-491-5p | Low | 72 | 36 | 36 | Tissue/ Serum | Median | 60 | OS/DFS | RT-PCR | M | Reported | 6 |
Tang et al[55], 2017 | China | miR-490-3p | Low | 148 | 76 | 72 | Tissue | Median | 70 | OS | RT-PCR | M | K-M curve | 6 |
Gao et al[56], 2018 | China | miR-564 | Low | 217 | 107 | 110 | Tissue | Median | 60 | OS/DFS | RT-PCR | M | K-M curve | 7 |
Yao et al[57], 2018 | China | miR-101 | Low | 152 | 82 | 70 | Serum | Median | 60 | OS/RFS | RT-PCR | U/M | K-M curve | 6 |
Cong et al[58], 2018 | China | miR-124 | Low | 114 | NR | NR | Serum | Median | 60 | OS/DFS | RT-PCR | M | Reported | 6 |
Liu et al[59], 2018 | China | miR-375 | Low | 95 | 47 | 48 | Serum | Median | 60 | OS | RT-PCR | M | Reported | 6 |
Zhong et al[60], 2018 | China | miR-1270 | High | 143 | 69 | 74 | Tissue | Median | 70 | OS | RT-PCR | U/M | Reported | 7 |
Li et al[61], 2018 | China | miR-542-3p | High | 76 | NR | NR | Serum | 0.87 | 70 | OS/DFS | RT-PCR | U/M | Reported | 8 |
Zhou et al[62], 2018 | China | miR-139-5p | Low | 98 | 53 | 45 | Serum | Median | 60 | OS | RT-PCR | U/M | Reported | 7 |
Heishima et al[63], 2019 | Japan | miR-214 | High | 106 | NR | NR | Plasma | Median | 72 | OS/DFS | RT-PCR | U/M | Reported | 7 |
Liang et al[12], 2019 | China | miR-765 | Low | 33 | NR | NR | Tissue | Median | 72 | OS | RT-PCR | U/M | Reported | 6 |
Xu, et al[64], 2019 | China | miR-106b | High | 134 | 64 | 70 | Tissue | Median | 60 | OS | RT-PCR | M | Reported | 7 |
Diao et al[65], 2020 | China | miR-22 | Low | 120 | 60 | 60 | Plasma | Median | 60 | OS | RT-PCR | U/M | Reported | 6 |
Li et al[66], 2020 | China | miR-1826 | Low | 122 | 69 | 53 | Tissue | Median | 60 | OS | RT-PCR | U/M | Reported | 7 |
Li et al[67], 2020 | China | miR-629 | High | 110 | 45 | 65 | Tissue | Median | 60 | OS | RT-PCR | M | Reported | 7 |
Yang et al[68], 2020 | China | miR-21/ 214 | High | 63 | NR | NR | Tissue | Median | 60 | OS | RT-PCR | M | Reported | 7 |
Shi et al[69], 2020 | China | miR-194 | Low | 124 | 69 | 55 | Serum | Median | 60 | OS/DFS | RT-PCR | M | Reported | 7 |
Ref. | MicroRNA | OS | PFS | DFS | RFS | P | |||
HR (95%CI) | P | HR (95%CI) | P | HR (95%CI) | P | HR (95%CI) | |||
Yuan et al[20], 2012 | miR-21 | 2.33 (1.11-4.89) | 0.026 | ||||||
Ji et al[21], 2013 | miR-133a | 1.87 (1.12–3.31) | 0.015 | 2.6 (0.8–7.2) | 0.02 | ||||
Cai et al[22], 2013 | miR-210 | 3.3 (1.0–8.1) | 0.01 | ||||||
Yang et al[23], 2013 | miR-132 | 4.9 (1.0–10.2) | 0.001 | 4.1 (0.8–9.7) | 0.006 | ||||
Li et al[24], 2014 | miR-17-92 | 2.94 (1.51-5.75) | 0.002 | 2.50 (1.77-6.92) | 0.001 | ||||
Xu et al[25], 2014 | miR-9 | 4.77 (2.86–5.91) | 0.002 | ||||||
Zhang et al[26], 2014 | miR-133b | 5.36 (1.26-11.03) | 0.02 | 5.69 (1.33-11.26) | 0.02 | ||||
Zhang et al[26], 2014 | miR-206 | 5.42 (1.31-11.28) | 0.02 | 5.88 (1.56-12.08) | 0.02 | ||||
Zhang et al[26], 2014 | miR-133b/206 | 9.28 (2.69-20.79) | 0.001 | 9.69 (2.80-21.82) | 0.001 | ||||
Cai et al[27], 2014 | miR-340 | 6.2 (1.4–13.9) | 0.006 | 4.5 (1.0–9.2) | 0.01 | ||||
Fei et al[28], 2014 | miR-9 | 3.18 (1.35-4.42) | 0.002 | ||||||
Zhang et al[13], 2014 | miR-196a | 6.28 (1.62–13.39) | 0.01 | 6.95 (1.63–14.61) | 0.01 | ||||
Zhang et al[13], 2014 | miR-196b | 6.33 (1.61–13.48) | 0.01 | 6.98 (1.65–14.82) | 0.01 | ||||
Zhang et al[13], 2014 | miR-196a/196b | 9.89 (2.66–20.98) | 0.001 | 10.09 (2.82–21.99) | 0.001 | ||||
Ma et al[29], 2014 | miR-148a | 2.70 (1.41-5.17) | 0.003 | 2.53 (1.28-5.01) | 0.008 | ||||
Lin et al[30], 2014 | miR-17-92 | 2.93 (1.25-6.88) | 0.007 | ||||||
Song et al[31], 2014 | miR-26a | 5.72 (1.01-10.94) | 0.007 | 3.97 (1.19-9.87) | 0.014 | ||||
Wang et al[32], 2014 | miR-214 | 5.6 (1.2–12.9) | 0.008 | 3.5 (1.0–8.2) | 0.01 | ||||
Cai et al[33], 2015 | miR-195 | 5.16 (1.92-11.88) | 0.002 | 3.62 (1.83-9.09) | 0.01 | ||||
Liu et al[34], 2015 | miR-126 | 3.10 (1.11–9.02) | 0.018 | ||||||
Sun et al[35], 2015 | miR-217 | 2.83 (1.13–7.05) | 0.026 | ||||||
Wang et al[36], 2015 | miR-152 | 0.13 (0.02–0.70) | 0.004 | ||||||
Yang et al[37], 2015 | miR-221 | 7.66 (1.83–15.92) | 0. 01 | 6.82 (1.33–13.69) | 0.01 | ||||
Tang et al[38], 2015 | miR-27a | 2.17 (1.30-3.62) | 0. 01 | 1.39 (0.46-4.22) | 0. 01 | ||||
Wang, et al[39], 2015 | miR-191 | 3.56 (1.62–7.88) | 0.01 | 2.63 (1.28–6.06) | 0.02 | ||||
Cao et al[40], 2016 | miR-326 | 3.90 (1.13-12.53) | 0.001 | ||||||
Dong et al[41], 2016 | miR-223 | 4.59 (1.84–11.45) | 0.001 | ||||||
Liu et al[41], 2016 | miR-300 | 5.96 (2.35-10.70) | 0.009 | 5.11 (2.14-9.48) | 0.019 | ||||
Luo et al[14], 2016 | miR-125b | 0.49 (0.24-0.10) | 0.049 | ||||||
Niu et al[43], 2016 | miR-95-3p | 4.22 (2.31–8.07) | 0.014 | ||||||
Pang et al[44], 2016 | miR-497 | 3.79 (1.99-8.57) | 0.004 | ||||||
Li et al[45], 2016 | miR-145 | 2.07 (1.17-3.66) | 0.0124 | ||||||
Zhang and Wang[46], 2016 | miR-222 | 1.19 (1.05-1.36) | 0.008 | 1.23 (1.07-1.40) | 0.003 | ||||
Ren et al[47], 2016 | miR-21 | 6.3 (1.8–12.4) | 0.001 | 5.8 (1.7–13.5) | 0.001 | ||||
Wang et al[48], 2017 | miR-34a | 3.18 (2.87-9.56) | 0.001 | ||||||
Yang et al[49], 2017 | miR-203 | 2.73 (1.69-8.91) | 0.01 | 4.19 (2.91-10.12) | 0.005 | ||||
Zhu et al[11], 2017 | miR-17-5p | 10.47 (2.29-47.87) | 0.002 | 5.53 (2.02-15.16) | 0.001 | ||||
Nakka et al[50], 2017 | miR-221 | 0.73 (0.49-1.11) | 0.139 | ||||||
Zou et al[51], 2017 | miR-19a | 5.06 (1.12–11.62) | 0.001 | 4.66 (0.88–10.97) | 0.006 | ||||
Hu et al[52], 2017 | miR-19a | 2.62 (2.12-6.15) | 0.037 | ||||||
Wang et al[53], 2017 | miR-491 | 2.96 (1.09-8.07) | 0.03 | ||||||
Wang et al[54], 2017 | miR-491-5p | 2.55 (1.28-4.64) | 0.039 | 2.44 (1.21-4.51) | 0.03 | ||||
Wang et al[54], 2017 | miR-491-5p | 2.72 (1.30-4.92) | 0.028 | 2.64 (1.27-5.02) | 0.022 | ||||
Tang et al[55], 2017 | miR-490-3p | 2.13 (1.33-7.76) | 0.001 | ||||||
Gao et al[56], 2018 | miR-564 | 4.25 (1.66-8.63) | 0.001 | 4.63 (1.88-9.38) | 0.001 | ||||
Yao et al[57], 2018 | miR-101 | 3.82 (1.34-6.52) | 0.014 | 4.23 (1.45-7.22) | 0.008 | ||||
Cong et al[58], 2018 | miR-124 | 3.54 (1.38–5.64) | 0.019 | 3.92 (1.57–6.39) | 0.012 | ||||
Liu et al[59], 2018 | miR-375 | 3.27 (1.36-7.85) | 0.008 | ||||||
Zhong et al[60], 2018 | miR-1270 | 4.34 (4.08–4.79) | 0.018 | ||||||
Li et al[61], 2018 | miR-542-3p | 5.98 (3.26–18.44) | 0.01 | 6.89 (2.83–9.67) | 0.018 | ||||
Zhou et al[62], 2018 | miR-139-5p | 3.24 (1.81–4.76) | 0.007 | ||||||
Heishima et al[63], 2019 | miR-214 | 2.95 (1.35-7.77) | 0.005 | 3.51 (1.68-8.55) | 0.0004 | ||||
Liang et al[12], 2019 | miR-765 | 0.39 (0.20-0.77) | 0.007 | ||||||
Xu, et al[64], 2019 | miR-106b | 2.77 (1.37-5.60) | 0.005 | ||||||
Diao et al[65], 2020 | miR-22 | 3.31 (1.41-7.77) | 0.006 | ||||||
Li et al[66], 2020 | miR-1826 | 2.45 (1.25-4.37) | 0.014 | ||||||
Li et al[67], 2020 | miR-629 | 2.89 (1.13-7.42) | 0.027 | ||||||
Yang et al[68], 2020 | miR-21 | 3.46 (2.17-11.52) | 0.013 | ||||||
Yang et al[68], 2020 | miR-214 | 3.14 (2.01-10.26) | 0.017 | ||||||
Shi et al[69], 2020 | miR-194 | 3.65 (1.58-5.89) | 0.014 | 4.39 (1.90-6.91) | 0.005 |
Subgroup | Number of datasets | Heterogeneity | Pooled HR (95%CI) | P value | ||
I2 (%) | P value | |||||
Overall | 60 | 89.0% | 0.000 | 2.92 (2.43–3.41) | 0.000 | |
Expression | ||||||
High | 27 | 91.4% | 0.000 | 3.56 (2. 59–4.54) | 0.000 | |
Low | 33 | 74.5% | 0.000 | 2.23 (1. 74–2.72) | 0.000 | |
Specimen | ||||||
Tissue | 26 | 92.1% | 0.000 | 3.20 (2.16–4.23) | 0.000 | |
Serum | 28 | 77.1% | 0.000 | 3.04 (2.37–3.71) | 0.000 | |
Plasma | 6 | 53.7% | 0.055 | 0.94 (0.36–1.51) | 0.001 | |
Survival analysis | ||||||
U | 6 | 0.0% | 0.569 | 2.36 (1.67–3.04) | 0.000 | |
M | 30 | 76.9% | 0.000 | 3.29 (2.52–4.07) | 0.000 | |
U/M | 24 | 93.9% | 0.000 | 2.73 (1.95–3.50) | 0.000 | |
Source of HR | ||||||
Reported | 35 | 92.6% | 0.000 | 3.00 (2.21–3.79) | 0.000 | |
K-M curve | 25 | 65.6% | 0.000 | 2.48 (1.92–3.04) | 0.000 | |
Follow-up | ||||||
≤ 5 years | 40 | 76.2% | 0.000 | 3.08 (2.44–3.71) | 0.000 | |
> 5 | years20 | 94.8% | 0.000 | 2.75 (1.88–3.63) | 0.000 | |
Country | ||||||
China | 58 | 89.0% | 0.000 | 3.05 (2.52–3.57) | 0.000 | |
Non-China | 2 | 44.9% | 0.178 | 1.24 (0.59–3.07) | 0.183 |
- Citation: Gao SS, Zhang GX, Zhang WT. MicroRNAs as prognostic biomarkers for survival outcome in osteosarcoma: A meta-analysis. World J Meta-Anal 2021; 9(6): 568-584
- URL: https://www.wjgnet.com/2308-3840/full/v9/i6/568.htm
- DOI: https://dx.doi.org/10.13105/wjma.v9.i6.568