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. 2014 May 27;9(5):e97460. doi: 10.1371/journal.pone.0097460

Table 1. Summary of studies using miR-21 as a biomarker of lung carcinoma and study quality assessment.

First author Year patients (controls) Racial Disease Cut-off Normalizers RNA extraction kits Measurements TP FP FN TN QUADAS scores
Hanbo Le et al. [22] 2012 82(50) China lung cancer 1.68 2−ΔΔCt miRNA-16 miRNA extraction kit TaqMan 38 4 44 46 13
Yanzhao Li et al. [32] 2011 20(10) China lung cancer 1.947 ng/ml miRNA mimics miRNA extraction kit SYBR 16 0 4 10 12
Dongfang Tang et al. [33] 2013 96(122) China lung cancer 1.31 small nuclear U6B RNA ---- TaqMan 48 34 48 88 13
Bing Wang et al. [34] 2012 31(30) China lung cancer 3.63 2−ΔΔCt miRNA-16 TRIzol SYBR 27 8 4 22 13
Juan Wei et al. [30] 2011 77(36) China NSCLC 1.63 2−ΔΔCt Cel-miR-39 miRNA extraction kit SYBR 47 6 30 30 13
Amal A. et al. [35] 2013 65(37) Egypt lung cancer 2.441 ΔCt miRNA SNORD68 miRNA extraction kit SYBR 56 5 9 32 13
Hui Zhang et al. [36] 2012 129(83) China NSCLC (stageI, II) 1.101 2−ΔΔCt Cel-miR-39 TRIzol SYBR 100 12 29 71 13

Note: NSCLC: non-small cell lung cancer. TP: true positive. FP: false positive. FN: false negative. TN: true negative. QUADAS: The Quality Assessment of Diagnostic Accuracy Studies. ----: not reported in study.