Table 2. Some studies on circulating miRNAs for diagnosis of lung cancer.
miRNA | TNM stage | Source | Detection method | Performance | Details |
miR-429,miR-205, miR-200b,miR-203,miR-125b,miR-34b |
I-IV | serum | qRT-PCR | Sen=88% Spe=71% AUC=0.88 (I/II) AUC=0.89 (I/V) Threshold value=0.37 |
NSCLC (n=100) [64] non-cancer (n=58) |
miR-146a,miR-222,miR-223 |
I-III |
serum |
qRT-PCR |
AC vs HD: Total AUC=0.951 Sen=84.35% Spe=90.83% Acu=87.27% Cutoff value = 0.5015 |
Training set [65] AC (n=40) HD (n=40) |
In AC AUC=0.942 (I) AUC=0.968 (II) AUC=0.954(III) |
Validation set AC (n=120) HD (n=120) |
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miR-21,miR-145, miR-155 |
I-III |
plasma |
qRT-PCR |
Training set LC vs HS Total AUC=0.847 Sen=69.4% Spe=78.3% Cutoff value: 1.310, 0.4950,0.01535 |
Training set [66] LC (n=62) HS(n=60) |
Validation set LC vs HS Total AUC=0.841 Sen=76.5% Spe=80.0% |
Validation set LC (n=34) BPN (n=30) HS (n=32) |
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miR-146b,miR-205,miR-29c, miR-30b |
I-III |
serum |
qRT-PCR |
Training set AUC=0.99 Sen=93.65% Spe=93.33% Acu=95.00% Cutoff value = 0.5606 |
Training set [67] NSCLS (n=63) HS (n=15) |
Validation set AUC=0.93 Sen=78.13% Spe=95.38% Acu=89.69% |
Validation set NSCLS (n=65) Cancer-free (n=32) |
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In NSCLC AUC=0.96(I) AUC=0.95(II-III) | |||||
miR-1254 MALAT1 miR-485-5p miR-574-5p |
I-IV |
serum |
qRT-PCR |
AUC=0.864/0.848/ 0.878/0.732(I/II/III /IV) Sen=94.6%/89.7%/ 94.9%/66.7%(I/II/III /IV) Spe=75.7%(I/II/III/ IV) |
Training set [68] NSCLS (n=36) HS (n=36) |
Validation set NSCLS (n=120) HS (n=71) |
Abbreviation: Sen: sensitivity; Spe: specificity; Acu: accuracy; AC: lung adenocarcinoma; HD: healthy donor; HS: healthy smoker; LC: lung cancer; BPNs: benign pulmonary nodules; SCC: squamous cell carcinoma.