Name
Abstract | ||
|---|---|---|
Molecular profiling of tumor biopsies plays an increasingly important role not only in cancer research, but also in the clinical management of cancer patients. Multi-omics approaches hold the promise of improving diagnostics, prognostics and personalized treatment. To deliver on this promise of precision oncology, appropriate bioinformatics methods for managing, integrating and analyzing large and complex data are necessary. Here, we discuss the specific requirements of bioinformatics methods and software that arise in the setting of clinical oncology, owing to a stricter regulatory environment and the need for rapid, highly reproducible and robust procedures. We describe the workflow of a molecular tumor board and the specific bioinformatics support that it requires, from the primary analysis of raw molecular profiling data to the automatic generation of a clinical report and its delivery to decision-making clinical oncologists. Such workflows have to various degrees been implemented in many clinical trials, as well as in molecular tumor boards at specialized cancer centers and university hospitals worldwide. We review these and more recent efforts to include other high-dimensional multi-omics patient profiles into the tumor board, as well as the state of clinical decision support software to translate molecular findings into treatment recommendations. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1093/bib/bbx143 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
cancer,molecular tumor board,data analysis pipeline,mutation calling,clinical decision support | Biology,Clinical decision support system,Bioinformatics,Cancer | Journal |
Volume | Issue | ISSN |
20 | 3 | 1467-5463 |
Citations | PageRank | References |
2 | 0.37 | 32 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jochen Singer | 1 | 18 | 2.92 |
| Anja Irmisch | 2 | 2 | 0.71 |
| Hans-Joachim Ruscheweyh | 3 | 2 | 0.37 |
| Franziska Singer | 4 | 4 | 1.12 |
| Nora C Toussaint | 5 | 110 | 7.40 |
| Mitchell P. Levesque | 6 | 4 | 0.78 |
| Daniel J. Stekhoven | 7 | 65 | 5.87 |
| Niko Beerenwinkel | 8 | 11 | 6.13 |