More recent data suggest that prognostic classification may be further refined using specific ranges of DI The INRG Biology Committee recommends recording the exact numerical DI value for each tumour, so that clinically relevant cutoffs for DI can be determined (for techniques see Table 3).
The most clinically relevant cutoff score for TOPK was determined on subgroup A by receiver operating characteristic (ROC) curve analysis for end point survival/death.
To find out the most relevant cutoff point for TYRP1/S100B ratio, we divided the population into two groups according to the median, the 25th and the 75th percentiles.
Clinically relevant cutoff values for variables independently associated with outcomes were assessed with receiver operating characteristic (ROC) curves to provide values with the optimal combination of sensitivity and specificity.
The closest clinically relevant cutoff was used for categorisation of characteristics instead of the median value for age (cutoff at 60 instead of median 62 years), Breslow's tumour thickness of the primary melanoma (2.0 instead of median 2.5 mm), and time interval (3 years instead of 2.5 years).
Study Group 2A was used to determine the most relevant cutoff scores above which a tumour should be considered to overexpress EGFR for each clinicopathological feature.
Clinically relevant cutoff values were derived from ROC curves by choosing the best combination of sensitivity and specificity for each variable.
Instead of trying to further increase the sensitivity of detecting minority populations we suggest to search for clinically relevant cutoffs.
Relevant cutoffs were chosen to allow comparison with previous studies [4, 7].
For visualization of the most relevant subnetworks, a cutoff for the edge relevance score was identified that minimizes the complexity of the network, while keeping both the drug and module nodes connected.
