Comparative cost analysis of a diagnostic multi-omics platform for decision support in advanced cancer – results from the Tumor Profiler Melanoma project

While advances in the understanding of tumor biology through multi-omics profiling hold the promise of substantially improving patient outcomes, the cost implications of such strategies remain unclear. We therefore performed a comparative cost analysis of patients treated either within the Tumor Profiler (TuPro) melanoma project or from a control cohort who received treatment after standard next-generation sequencing testing. After adjustment of cohorts through inverse probability of treatment weighting, we found no evidence of statistically significant differences in total costs between the two cohorts (95% confidence interval -10% to +67%). Importantly, treatment costs (95% confidence interval -28% to +41%) were similar between the two cohorts. In conclusion, we found no evidence that treatment recommendations guided by advanced multi-omics profiling led to significantly higher treatment costs in a Swiss context.

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Publication Details

Journal
npj Precision Oncology
Published
2025-12-17
DOI
https://doi.org/10.1038/s41698-025-01229-5
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94

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article

Comparative cost analysis of a diagnostic multi-omics platform for decision support in advanced cancer – results from the Tumor Profiler Melanoma project

Alexander Ring, Laura Boos, Mitchell Paul Levesque, Bettina Sobottka et al.
1 citations
npj Precision Oncology
Cancer Genomics and Diagnostics
0.94
article

Comparative cost analysis of a diagnostic multi-omics platform for decision support in advanced cancer – results from the Tumor Profiler Melanoma project

Alexander Ring, Laura Boos, Mitchell Paul Levesque, Bettina Sobottka, Nicola Miglino, Dominik Menges, Benedict Gosztonyi, Tarun Mehra, Nora C. Toussaint
article en
1 citations

Abstract

While advances in the understanding of tumor biology through multi-omics profiling hold the promise of substantially improving patient outcomes, the cost implications of such strategies remain unclear. We therefore performed a comparative cost analysis of patients treated either within the Tumor Profiler (TuPro) melanoma project or from a control cohort who received treatment after standard next-generation sequencing testing. After adjustment of cohorts through inverse probability of treatment weighting, we found no evidence of statistically significant differences in total costs between the two cohorts (95% confidence interval -10% to +67%). Importantly, treatment costs (95% confidence interval -28% to +41%) were similar between the two cohorts. In conclusion, we found no evidence that treatment recommendations guided by advanced multi-omics profiling led to significantly higher treatment costs in a Swiss context.

npj Precision OncologyVol. 10(1)
Roche (Switzerland) (CH), University of Bern (CH), SIB Swiss Institute of Bioinformatics (CH), Bern University of Applied Sciences (CH), University of Basel (CH), University of Zurich (CH), University Hospital of Basel (CH), Karolinska Institutet (SE), FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH), ETH Zurich (CH), Roche Pharma AG (Germany) (DE), Integrated Oncology (United States) (US), University Hospital of Zurich (CH), Psychiatry Baselland (CH), Life Science Zurich (CH), Swiss Data Science Center (CH), Department of Biomedicine Basel (CH), University Hospital Cologne (DE), Kantonsspital Aarau (CH), Max Planck Institute for Biology (DE), RWTH Aachen University (DE), FH Aachen (DE)
F. Hoffmann-La Roche, Les Laboratories Pierre Fabre, Eidgenössische Technische Hochschule Zürich, Universität Zürich
Openalex Percentile: Top 18%
Cancer Genomics and Diagnostics
0.94
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