Meta-Analysis
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
Table 1 Characteristics of eligible studies in this meta-analysis
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], 2012ChinamiR-21High65NRNRSerumMedian46OSRT-PCRU/MReported6
Ji et al[21], 2013ChinamiR-133aLow924646TissueMedian60OSRT-PCRUK-M curve6
Cai et al[22], 2013ChinamiR-210High924448TissueMedian100OS/PFSRT-PCRUK-M curve6
Yang et al[23], 2013ChinamiR-132Low1669076TissueMedian100OS/DFSRT-PCRU/MK-M curve6
Li et al[24], 2014ChinamiR-17-92High1174572TissueMedian60OS/RFSRT-PCRU/MReported6
Xu et al[25], 2014ChinamiR-9High793940TissueMedian60OSRT-PCRMReported6
Zhang et al[26], 2014ChinamiR-133b/ 206Low100NRNRSerum2.7/2.840OS/DFSRT-PCRMK-M curve8
Cai et al[27], 2014ChinamiR-340Low92NRNRTissueMedian100OS/PFSRT-PCRMK-M curve7
Fei et al[28], 2014ChinamiR-9High118NRNRSerumMedian80OSRT-PCRUK-M curve6
Zhang et al[13], 2014ChinamiR-196a/bHigh100NRNRSerum4.9/5.540OS/DFSRT-PCRMK-M curve8
Ma et al[29], 2014ChinamiR-148aHigh148NRNRPlasmaMedian100OS/DFSRT-PCRU/MK-M curve7
Lin et al[30], 2014ChinamiR-17-92High632538TissueMedian60OSRT-PCRUK-M curve6
Song et al[31], 2014ChinamiR-26aLow1446381TissueMedian150OS/DFSRT-PCRMK-M curve7
Wang et al[32], 2014ChinamiR-214High823349TissueMedian60OS/FFSRT-PCRUK-M curve7
Cai et al[33], 2015ChinamiR-195Low1668878Serum1.44100OS/DFSRT-PCRMK-M curve8
Liu et al[34], 2015ChinamiR-126Low1226062TissueMedian60OSRT-PCRMReported7
Sun et al[35], 2015ChinamiR-217Low1688484TissueMedian80OSRT-PCRU/MReported6
Wang, et al[36], 2015ChinamiR-152Low804238SerumMedian60OSRT-PCRMReported6
Yang et al[37], 2015ChinamiR-221High1085553SerumMedian60OS/RFSRT-PCRMReported7
Tang et al[38], 2015ChinamiR-27aHigh1668086SerumMedian100OS/DFSRT-PCRU/MK-M curve8
Wang et al[39], 2015ChinamiR-191High1004258Serum3.5660OS/DFSRT-PCRMK-M curve8
Cao et al[40], 2016ChinamiR-326Low602535SerumMedian60OSRT-PCRMReported6
Dong et al[41], 2016ChinamiR-223Low1125359SerumMedian60OSRT-PCRMReported6
Liu et al[42], 2016ChinamiR-300High1144668SerumMedian60OS/DFSRT-PCRU/MReported6
Luo et al[14], 2016ChinamiR-125bLow56NRNRPlasmaMedian30OSRT-PCRU/MReported7
Niu et al[43], 2016ChinamiR-95-3pLow1339736SerumMedian60OSRT-PCRMReported7
Pang et al[44], 2016ChinamiR-497Low1859194SerumMedian70OSRT-PCRU/MReported7
Li et al[45], 2016ChinamiR-145low391920TissueMedian60OSRT-PCRUK-M curve7
Zhang and Wang[46], 2016ChinamiR-222High572829SerumMedian80OS/DFSRT-PCRU/MK-M curve7
Ren et al[47], 2016ChinamiR-21High843351TissueMedian100OS/DFSRT-PCRU/MK-M curve6
Wang et al[48], 2017ChinamiR-34alow120NRNRSerum4.1660OSRT-PCRMReported7
Yang et al[49], 2017ChinamiR-203Low1035251TissueMedian60OS/DFSRT-PCRU/MReported7
Zhu et al[11], 2017ChinamiR-17-5pHigh62NRNRPlasmaMedian70OS/PFSRT-PCRU/MReported6
Nakka et al[50], 2017United StatesmiR-221Low32NRNRPlasmaMedian150OSRT-PCRMK-M curve6
Zou et al[51], 2017ChinamiR-19aHigh1668086TissueMedian100OS/DFSRT-PCRU/MReported7
Hu et al[52], 2017ChinamiR-19aHigh32NRNRTissueMedian50OSRT-PCRU/MReported6
Wang et al[53], 2017ChinamiR-491Low1025844SerumMedian60OSRT-PCRU/MReported7
Wang et al[54], 2017ChinamiR-491-5pLow723636Tissue/ SerumMedian60OS/DFSRT-PCRMReported6
Tang et al[55], 2017ChinamiR-490-3pLow1487672TissueMedian70OSRT-PCRMK-M curve6
Gao et al[56], 2018ChinamiR-564Low217107110TissueMedian60OS/DFSRT-PCRMK-M curve7
Yao et al[57], 2018ChinamiR-101Low1528270SerumMedian60OS/RFSRT-PCRU/MK-M curve6
Cong et al[58], 2018ChinamiR-124Low114NRNRSerumMedian60OS/DFSRT-PCRMReported6
Liu et al[59], 2018ChinamiR-375Low954748SerumMedian60OSRT-PCRMReported6
Zhong et al[60], 2018ChinamiR-1270High1436974TissueMedian70OSRT-PCRU/MReported7
Li et al[61], 2018ChinamiR-542-3pHigh76NRNRSerum0.8770OS/DFSRT-PCRU/MReported8
Zhou et al[62], 2018ChinamiR-139-5pLow985345SerumMedian60OSRT-PCRU/MReported7
Heishima et al[63], 2019JapanmiR-214High106NRNRPlasmaMedian72OS/DFSRT-PCRU/MReported7
Liang et al[12], 2019ChinamiR-765Low33NRNRTissueMedian72OSRT-PCRU/MReported6
Xu, et al[64], 2019ChinamiR-106bHigh1346470TissueMedian60OSRT-PCRMReported7
Diao et al[65], 2020ChinamiR-22Low1206060PlasmaMedian60OSRT-PCRU/MReported6
Li et al[66], 2020ChinamiR-1826Low1226953TissueMedian60OSRT-PCRU/MReported7
Li et al[67], 2020ChinamiR-629High1104565TissueMedian60OSRT-PCRMReported7
Yang et al[68], 2020ChinamiR-21/ 214High63NRNRTissueMedian60OSRT-PCRMReported7
Shi et al[69], 2020ChinamiR-194Low1246955SerumMedian60OS/DFSRT-PCRMReported7
Table 2 Hazard ratios and 95% confidence intervals of survival outcome extracted from included studies
Ref.MicroRNAOS
PFS
DFS
RFS
P
HR (95%CI)
P
HR (95%CI)
P
HR (95%CI)
P
HR (95%CI)

Yuan et al[20], 2012miR-212.33 (1.11-4.89)0.026
Ji et al[21], 2013miR-133a1.87 (1.12–3.31)0.0152.6 (0.8–7.2)0.02
Cai et al[22], 2013miR-2103.3 (1.0–8.1)0.01
Yang et al[23], 2013miR-1324.9 (1.0–10.2)0.0014.1 (0.8–9.7)0.006
Li et al[24], 2014miR-17-922.94 (1.51-5.75)0.0022.50 (1.77-6.92)0.001
Xu et al[25], 2014miR-94.77 (2.86–5.91)0.002
Zhang et al[26], 2014miR-133b5.36 (1.26-11.03)0.025.69 (1.33-11.26)0.02
Zhang et al[26], 2014miR-2065.42 (1.31-11.28)0.025.88 (1.56-12.08)0.02
Zhang et al[26], 2014miR-133b/2069.28 (2.69-20.79)0.0019.69 (2.80-21.82)0.001
Cai et al[27], 2014miR-3406.2 (1.4–13.9)0.0064.5 (1.0–9.2)0.01
Fei et al[28], 2014miR-93.18 (1.35-4.42)0.002
Zhang et al[13], 2014miR-196a6.28 (1.62–13.39)0.016.95 (1.63–14.61)0.01
Zhang et al[13], 2014miR-196b6.33 (1.61–13.48)0.016.98 (1.65–14.82)0.01
Zhang et al[13], 2014miR-196a/196b9.89 (2.66–20.98)0.00110.09 (2.82–21.99)0.001
Ma et al[29], 2014miR-148a2.70 (1.41-5.17)0.0032.53 (1.28-5.01)0.008
Lin et al[30], 2014miR-17-922.93 (1.25-6.88)0.007
Song et al[31], 2014miR-26a5.72 (1.01-10.94)0.0073.97 (1.19-9.87)0.014
Wang et al[32], 2014miR-2145.6 (1.2–12.9)0.0083.5 (1.0–8.2)0.01
Cai et al[33], 2015miR-1955.16 (1.92-11.88)0.0023.62 (1.83-9.09)0.01
Liu et al[34], 2015miR-1263.10 (1.11–9.02)0.018
Sun et al[35], 2015miR-2172.83 (1.13–7.05)0.026
Wang et al[36], 2015miR-1520.13 (0.02–0.70)0.004
Yang et al[37], 2015miR-2217.66 (1.83–15.92)0. 016.82 (1.33–13.69)0.01
Tang et al[38], 2015miR-27a2.17 (1.30-3.62)0. 011.39 (0.46-4.22)0. 01
Wang, et al[39], 2015miR-1913.56 (1.62–7.88)0.012.63 (1.28–6.06)0.02
Cao et al[40], 2016miR-3263.90 (1.13-12.53)0.001
Dong et al[41], 2016miR-2234.59 (1.84–11.45)0.001
Liu et al[41], 2016miR-3005.96 (2.35-10.70)0.0095.11 (2.14-9.48)0.019
Luo et al[14], 2016miR-125b0.49 (0.24-0.10)0.049
Niu et al[43], 2016miR-95-3p4.22 (2.31–8.07)0.014
Pang et al[44], 2016miR-4973.79 (1.99-8.57)0.004
Li et al[45], 2016miR-1452.07 (1.17-3.66)0.0124
Zhang and Wang[46], 2016miR-2221.19 (1.05-1.36)0.0081.23 (1.07-1.40)0.003
Ren et al[47], 2016miR-216.3 (1.8–12.4)0.0015.8 (1.7–13.5)0.001
Wang et al[48], 2017miR-34a3.18 (2.87-9.56)0.001
Yang et al[49], 2017miR-2032.73 (1.69-8.91)0.014.19 (2.91-10.12)0.005
Zhu et al[11], 2017miR-17-5p10.47 (2.29-47.87)0.0025.53 (2.02-15.16)0.001
Nakka et al[50], 2017miR-2210.73 (0.49-1.11)0.139
Zou et al[51], 2017miR-19a5.06 (1.12–11.62)0.0014.66 (0.88–10.97)0.006
Hu et al[52], 2017miR-19a2.62 (2.12-6.15)0.037
Wang et al[53], 2017miR-4912.96 (1.09-8.07)0.03
Wang et al[54], 2017miR-491-5p2.55 (1.28-4.64)0.0392.44 (1.21-4.51)0.03
Wang et al[54], 2017miR-491-5p2.72 (1.30-4.92)0.0282.64 (1.27-5.02)0.022
Tang et al[55], 2017miR-490-3p2.13 (1.33-7.76)0.001
Gao et al[56], 2018miR-5644.25 (1.66-8.63)0.0014.63 (1.88-9.38)0.001
Yao et al[57], 2018miR-1013.82 (1.34-6.52)0.0144.23 (1.45-7.22)0.008
Cong et al[58], 2018miR-1243.54 (1.38–5.64)0.0193.92 (1.57–6.39)0.012
Liu et al[59], 2018miR-3753.27 (1.36-7.85)0.008
Zhong et al[60], 2018miR-12704.34 (4.08–4.79)0.018
Li et al[61], 2018miR-542-3p5.98 (3.26–18.44)0.016.89 (2.83–9.67)0.018
Zhou et al[62], 2018miR-139-5p3.24 (1.81–4.76)0.007
Heishima et al[63], 2019miR-2142.95 (1.35-7.77)0.0053.51 (1.68-8.55)0.0004
Liang et al[12], 2019miR-7650.39 (0.20-0.77)0.007
Xu, et al[64], 2019miR-106b2.77 (1.37-5.60)0.005
Diao et al[65], 2020miR-223.31 (1.41-7.77)0.006
Li et al[66], 2020miR-18262.45 (1.25-4.37)0.014
Li et al[67], 2020miR-6292.89 (1.13-7.42)0.027
Yang et al[68], 2020miR-213.46 (2.17-11.52)0.013
Yang et al[68], 2020miR-2143.14 (2.01-10.26)0.017
Shi et al[69], 2020miR-1943.65 (1.58-5.89)0.0144.39 (1.90-6.91)0.005
Table 3 Subgroup analyses of the relationship between microRNA expression and overall survival.
years
SubgroupNumber of datasetsHeterogeneity
Pooled HR (95%CI)
P value
I2 (%)
P value
Overall6089.0%0.0002.92 (2.43–3.41)0.000
Expression
High2791.4%0.0003.56 (2. 59–4.54)0.000
Low3374.5%0.0002.23 (1. 74–2.72)0.000
Specimen
Tissue2692.1%0.0003.20 (2.16–4.23)0.000
Serum2877.1%0.0003.04 (2.37–3.71)0.000
Plasma653.7%0.0550.94 (0.36–1.51)0.001
Survival analysis
U60.0%0.5692.36 (1.67–3.04)0.000
M3076.9%0.0003.29 (2.52–4.07)0.000
U/M2493.9%0.0002.73 (1.95–3.50)0.000
Source of HR
Reported3592.6%0.0003.00 (2.21–3.79)0.000
K-M curve2565.6%0.0002.48 (1.92–3.04)0.000
Follow-up
≤ 5 years4076.2%0.0003.08 (2.44–3.71)0.000
> 52094.8%0.0002.75 (1.88–3.63)0.000
Country
China5889.0%0.0003.05 (2.52–3.57)0.000
Non-China244.9%0.1781.24 (0.59–3.07)0.183