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

Table 5 Sensitivity^a (%) and specificity (%) Calculated from discriminant function analysis

	Variables	miR-205, miR-21	miR-196, miR-21	miR-375, miR-21	miR-205, miR-196b, miR-21	miR-205, miR-375, miR-21	miR-375, miR-196, miR-21	miR-205, miR-196b, miR-375, miR-21
Training set	Sensitivity	46.7%	53.3%	93.3%	46.7%	86.7%	86.7%	80%
Training set	Specificity	66.7%	66.7%	86.7%	66.7%	86.7%	86.7%	86.7%
Validation set	Sensitivity	54.8%	48.3%	96.7%	51.6%	96.7%	96.7%	93.5%
Validation set	Specificity	65.5%	75.8%	93.1%	68.9%	93.1%	93.1%	93.1%

^aSensitivity (%) was determined as [true positive / (true positive + False negative)] and specificity (%) was [True negative / (True negative + False positive)]. Cut-off value = “Zero”. If the Z score was positive, sample was designated as SQCC and negative sample was designated as ADCC. Z score was calculated with the help of the formulas mentioned in the Table 2. True positive: Samples which were diagnosed as SQCC by the histopathologists and with positive Z score. False negative: Samples which were characterised as SQCC but with negative Z score. True negative: Samples which were characterised as ADCC by histopathologists and with negative Z score. False negative: Samples which were initially classified as ADCC but with the positive Z score