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Table 3 Performance of predictive models for classification of clinico-pathological characteristics in normal mucosa tissue.

From: Mass spectrometry protein expression profiles in colorectal cancer tissue associated with clinico-pathological features of disease

CHARACTERISTICS 1Advanced Dukes'
stage
Poorly differentiated Lymph node
involvement
Invasiveness 2Disease recurrence
Number of features 7 5 3 6 7
Positive prediction rate 8/13 8/14 11/14 3/7 0/5
Sensitivity 0.615 0.571 0.786 0.429 0.000
3CI 0.322-0.849 0.296-0.812 0.488-0.943 0.116-0.798 0.000-0.537
Positive predictive value 0.500 0.444 0.733 0.500 0.000
CI 0.255-0.749 0.224-0.686 0.448-0.911 0.139-0.860 0.000-0.945
Negative prediction rate 12/20 9/19 15/19 23/26 25/26
Specificity 0.600 0.474 0.789 0.885 0.962
CI 0.364-0.800 0.252-0.705 0.539-0.930 0.687-0.970 0.784-0.998
Negative predictive value 0.706 0.600 0.833 0.852 0.833
CI 0.440-0.886 0.329-0.825 0.577-0.956 0.654-0.951 0.645-0.937
Absolute error 0.394 0.485 0.212 0.212 0.194
4ROC error 0.392 0.477 0.212 0.343 0.519
Fisher's exact test P = 0.139 P = 0.267 P = 0.001 P = 0.082 P = 0.839
  1. 1Includes Dukes' C1 and C2; 2 Median follow-up time for recurrent disease patients: 33 months; median follow-up time for disease-free patient: 27 months (analysis excludes patients who died through surgical complications - see Table 1); 3CI = 95% confidence interval; 4ROC = receiver-operator characteristics
  2. The KNN algorithm [29] was used in 'leave-one-out' cross-validation prediction with the number of features (marker peaks) specified. Marker peaks were selected using a t-test statistic except for lymph node involvement and invasiveness characteristics of tumour tissue where the SNR test statistic was used.