Factors | Definition |
---|---|
1. Feasibility | To what extend are the available infrastructure and human resources suitable to perform the diagnostic tests in terms of: • Data storage • Interpretation of test results • Method of biopsy preparation (in case of WGS; fresh frozen tissue) |
2. Patient and physician test journey | The diagnostic experience from the patient and oncologist perspective: • Time interval from requesting the test to results • Number of procedures to obtain biopsies (including germline for WGS) • Success rate of the test strategy • Completeness of results (are all results available at once) • Complexity test request for oncologist |
3. Wider implications of diagnostic results | Possibility of using the test results for the selection of additional treatment options: • Off-label treatments • Tumor-agnostic treatments • Phase I, II, III studies Or for the identification of: • Predictors for a negative treatment response • Hereditary cancer predisposition genes • Pathogenic viruses • Pharmacogenetic profiles • A revision of the diagnosis |
4. Organization of labs | The impact of the diagnostic test on the organization of labs regarding the: • Uniformity of tests (variation between available tests) • Future-proofness (is the test able to test for biomarkers that will be relevant in the future) • Equity (are there differences in the availability of tests) |
5. Scientific spillover | Potential of using the test results to: • Develop a learning care system by generating data • Identify new (complex) biomarkers |