Module 6 : Clinical and translational proteomics
Lecture 40 : End-Semester Examination (50 marks; 3 hours)
 

Question 6. Receiver operating characteristic (ROC) curve analysis is carried out to evaluate the accuracy of a serum protein for cancer prediction. The area under the ROC curve (AUC) indicates the accuracy of different classifier proteins to distinguish cancer patients from healthy subjects. ROC curve and specificity and sensitivity values obtained in different cut off values of the potential marker protein are provided below.

Please answer the following questions (1X5 = 5 marks):

6.1. At what concentration (cut off) of the protein best sensitivity will be obtained?
6.2. At what concentration (cut off) of the protein best specificity will be obtained?
6.3. At what concentration (cut off) of the protein optimum combination of specificity will be obtained?
6.4. If the AUC for this protein is 0.83; then how many times more effective it will be than the identity line, which represents 50% accuracy?
6.5. Comment on cancer prediction potential of this candidate biomarker.