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. 2016 Sep 15;7(42):68894–68908. doi: 10.18632/oncotarget.12028

Table 1. Characteristics and quality assessment of 48 studies included in meta-analysis.

First author Year Country Ethnicity Patients
(controls)
Cancer Sample method ECon Sen Spe Tp Fp Fn Tn AUC
Wei J[23] 2011 China Asian 77(36) LC Plasma SYBR miR-16 61.04 83.33 47 6 30 30 0.729
Shen J[24] 2011 USA Caucasian African 58(29) LC Plasma SYBR miR-16 79.31 65.52 46 10 12 19 0.816
Li Y[25] 2011 China Asian 20(10) LC Serum SYBR mimics 78.80 100.00 16 0 4 10 0.912
Le HB[26] 2012 China Asian 82(50) LC Serum Taqman miR-16 46.30 92.00 38 4 44 46 0.686
Wang B[9] 2012 China Asian 31(39) LC Serum SYBR miR-16 87.10 74.40 27 10 4 29 0.880
Tang D[27] 2013 China Asian 62(60) LC Plasma Taqman RNU6 48.40 78.30 30 13 32 47 0.715
Tang D[27] 2013 China Asian 34(32) LC Plasma Taqman RNU6 52.90 71.90 18 9 16 23 0.709
Abd-EI-Fattah AA[28] 2013 Egypt African 65(37) LC Serum SYBR RNU48 85.70 86.50 56 5 9 32 0.850
Mozzoni P[29] 2013 Italy Caucasian 54(46) LC Plasma Taqman miR-16 50.00 92.30 27 4 27 42 0.740
Yang JS[56] 2014 China Asian 300(152) LC Serum Taqman RNU6 69.00 71.00 207 45 93 107 0.810
Kanaan Z[57] 2012 USA Caucasian 50(50) CC Plasma Taqman RNU6 90.00 90.00 45 5 5 45 0.820
Wang B[9] 2012 China Asian 32(39) CC Serum SYBR miR-16 87.50 74.40 28 10 4 29 0.850
Toiyama Y[30] 2013 Japan Asian 186(53) CC Serum Taqman cel-miR-39 82.80 90.60 154 5 32 48 0.919
Liu GH[31] 2013 China Asian 200(80) CC Serum Taqman miR-16 65.00 85.00 130 12 70 68 0.802
Luo X[32] 2013 Germany Caucasian 80(144) CC Plasma Taqman miR-16 51.70 80.70 41 28 39 116 0.653
Basati G[33] 2014 Iran Caucasian 40(40) CC Serum SYBR RNU6 77.00 78.00 31 9 9 31 0.870
Ogata-kawata H[34] 2014 Japan Asian 88(11) CC Serum Taqman miR-451 61.40 90.90 54 1 34 10 0.798
Tsujiura M[35] 2010 Japan Asian 69(30) GC Plasma Taqman RNU6 60.90 63.33 42 11 27 19 0.673
Zheng Y[36] 2011 China Asian 53(20) GC Plasma SYBR RNU6 83.77 80.53 44 4 9 16 0.853
Li BS[37] 2012 China Asian 60(60) GC Plasma Taqman cel-miR-39 74.29 75.71 45 15 15 45 0.794
Wang B[9] 2012 China Asian 30(39) GC Serum SYBR miR-16 56.70 94.90 17 2 13 37 0.810
Shiotani A[38] 2013 Japan Asian 64(64) GC Serum Taqman miR-16 58.60 86.10 38 9 26 55 0.720
Wu J[22] 2015 China Asian 50(50) GC Serum SYBR RNU6 83.77 79.60 44 10 6 40 0.912
Wu J[22] 2015 China Asian 50(50) GC PBMC SYBR RNU6 74.29 73.40 41 13 9 37 0.898
Xu J[39] 2011 China Asian 101(89) HCC Serum SYBR miR-181 56.70 73.50 85 24 16 65 0.870
Tomimaru Y[40] 2012 Japan Asian 126(50) HCC Plasma Taqman miR-16 87.30 92.00 110 4 16 46 0.953
Tomimaru Y[40] 2012 Japan Asian 126(30) HCC Plasma Taqman miR-16 61.10 83.30 77 5 49 25 0.773
Liu AM[41] 2012 China Asian 57(59) HCC Serum Taqman NA 89.47 71.19 51 17 6 42 0.865
Amr KS[42] 2015 Egypt African 23(17) HCC Serum Taqman RNU48 100.00 81.20 23 3 0 14 0.943
Zhuang C[59] 2015 China Asian 52(43) HCC Serum SYBR cel-miR-39
RNU6
67.40 55.80 35 19 17 24 0.621
Asaga S[43] 2011 USA Caucasian 79(20) BC Serum SYBR miR-16 67.00 75.00 53 5 26 15 0.721
Wang B[9] 2012 China Asian 50(39) BC Serum SYBR miR-16 80.00 87.70 40 5 10 34 0.880
Mar-Aguilar F[44] 2013 Mexico Caucasian 60(10) BC Serum Taqman 18s RNA 94.40 80.00 57 2 3 8 0.950
Gao J[45] 2013 China Asian 89(55) BC Serum SYBR miR-16 87.60 87.30 78 7 11 48 0.929
Toraih EA[46] 2015 Egypt African 30(60) BC Serum Taqman RNU6 66.70 86.70 20 8 10 52 0.800
Motawi TM[58] 2016 Egypt African 50(25) BC Serum SYBR RNU48 96.00 92.00 48 2 2 23 0.984
Motawi TM[58] 2016 Egypt African 50(25) BC Serum SYBR RNU48 82.00 76.00 41 6 9 19 0.855
Kurashige J[47] 2012 Japan Asian 71(39) EC Serum Taqman miR-16 46.50 100.00 33 0 38 39 NA
Wang B[9] 2012 China Asian 31(39) EC Serum SYBR miR-16 71.00 69.20 22 12 9 27 0.740
Wang J[48] 2009 USA Caucasian 49(36) PC Plasma Taqman miR-16 46.00 89.00 23 4 26 32 0.620
Hsu CM[49] 2012 China Asian 50(36) HNSCC Plasma Taqman cel-miR-39 83.30 51.10 42 18 8 18 0.741
Liu X[50] 2013 China Asian 217(73) NPC Plasma SYBR RNU6 76.00 69.90 165 22 52 51 0.792
Kishimoto T[51] 2013 Japan Asian 94(50) BTC Plasma Taqman miR-16 85.10 100.00 80 0 14 50 0.930
Kishimoto T[51] 2013 Japan Asian 94(23) BTC Plasma Taqman miR-16 72.30 91.30 68 2 26 21 0.830
Jones K[52] 2014 Australia Caucasian 42(20) Lym Plasma SYBR cel-miR-39 95.00 86.00 40 3 2 17 0.920
Wang J[53] 2014 China Asian 52(49) LSCC Serum SYBR RNU6 69.20 81.60 36 9 16 40 0.801
Huang W[54] 2015 China Asian 75(75) PCa PBMC Taqman RNU6 87.50 85.70 66 11 9 64 0.833
Liu SS[55] 2014 China Asian 65(65) RB Plasma SYBR RNU6 46.00 72.00 30 18 35 47 0.548

Sen: sensitivity, Spe: specificity, Econ: endogenous control, Tp: true positive, Fp: false positive, Fn: false negative, Tn: true negative, AUC: area under ROC curve, LC: lung cancer, CC: colorectal cancer, GC: gastric cancer, HHC: hepatocellular cancer, BC: breast cancer, EC: esophageal cancer, PC: pancreatic cancer, HNSCC: head and neck squamous cell cancer, NPC: nasopharyngeal cancer, BTC: biliary tract cancer, Lym: Lymphoma, LSCC: laryngeal squamous cell cancer, PCa: prostate cancer, RB: retinoblastoma, PBMC: peripheral blood mononuclear cell, NA: not available