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The tumor tissue of patients with pancreatic cancer will be submitted to next-generation sequencing (NGS) and these data will be evaluated with an oncology treatment decision support (TDS) software tool that is a medicinal product class 1 (CE-marked). This software will make evidence-based suggestions for drugs likely to be effective, ineffective, or toxic (FDA approved biomarkers). For patients fit for second-line therapy, the resulting recommendations will be judged by the tumor board.
Tumor tissue of patients (surgical resection, biopsy) will be used for SWEDAC-certified DNA extraction and NGS. Pseudonymised sequencing data will be fed into a TDS software tool (TreatmentMAPâ„¢, Molecular Health) and based on published evidence, suggestions will be made, graded into NCCN categories of approved drugs in indication or otherwise, clinical evidence or experimental. Same with anticipated inefficacy. In addition, FDA-approved biomarkers for toxicity will be analysed. This information is taken to the tumor board for making a decision whether this information is useful and eventually to recommend a treatment for a given patient.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NGS | Genetic | Next generation sequencing |
| Measure | Description | Time Frame |
|---|---|---|
| Number of participants with technical success | 2 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Number of participants with actionable targets | actionable targets (effective, ineffective, FDA approved toxicity markers) | 3 days |
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients where NGS+TME generated information was used for treatment | 1 week |
Inclusion Criteria:
Exclusion Criteria:
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Patients with pancreatic adenocarcinoma
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| Name | Affiliation | Role |
|---|---|---|
| Johan Permert, MD PhD | Karolinska University Hospital | Study Chair |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28675654 | Background | Malgerud L, Lindberg J, Wirta V, Gustafsson-Liljefors M, Karimi M, Moro CF, Stecker K, Picker A, Huelsewig C, Stein M, Bohnert R, Del Chiaro M, Haas SL, Heuchel RL, Permert J, Maeurer MJ, Brock S, Verbeke CS, Engstrand L, Jackson DB, Gronberg H, Lohr JM. Bioinformatory-assisted analysis of next-generation sequencing data for precision medicine in pancreatic cancer. Mol Oncol. 2017 Oct;11(10):1413-1429. doi: 10.1002/1878-0261.12108. Epub 2017 Aug 8. |
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Sequencing data will be made available anonymously
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The study will make use of routinely taken samples (surgical resection, biopsy)