| |
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%
|
|
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%
|
|
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
