Molecular binary classification of NSCLC: miR-375 is a potential biomarker to differentiate SQCC from ADCC in Indian NSCLC patients

Table 4 Sensitivity (%) and specificity (%) Calculated from ROC curves

	Variables	miR-205, miR-21	miR-196b, miR-21	miR-375, miR-21
ROC	Cut-off^a	4.264	7.511	0.584
	AUC	0.471	0.498	0.907
	p Value	0.789	0.983	<0.0001
	Sensitivity (Training set)	13.33%	26.67%	93.3%
	Specificity(Training set)	66.67%	93.33%	86.7%
	Sensitivity (Validation set)	9.67%	12.9%	96.7%
	Specificity (Validation set)	72.41%	75.86%	93.1%

^aCut-off value is the score that correspond to the youden index (sensitivity + specificity-1) in ROC curve. Sample was positive if the score ≥ cut off. Sensitivity (%) was determined as [true positive / (true positive + False negative)] and specificity (%) was [True negative / (True negative + False positive)]. True positive: Samples which were diagnosed as SQCC by the histopathologists and with score ≥ cut off. False negative: Samples which were characterised as SQCC but score < cut off. True negative: Samples which were characterised as ADCC by histopathologists and score < cut off. False negative: Samples which were initially classified as ADCC but score ≥ cut off