Evidence map›Paper›PMID 41402424›Full record

ArticleNPJ precision oncology2025

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

Tarun Mehra, Dominik Menges, Benedict Gosztonyi, Nicola Miglino, Alexander Ring, Laura Boos, Bettina Sobottka, Tumor Profiler Consortium, Viktor Hendrik Koelzer, Holger Moch and 6 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Tarun MehraUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland.
Dominik MengesEpidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), Zurich, Switzerland.
Benedict GosztonyiUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland.
Nicola MiglinoUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland.
Alexander RingUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland.
Laura BoosUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland.
Bettina SobottkaDepartment of Pathology and Molecular Pathology, University Hospital of Zurich, Schmelzbergstrasse 12, 8091, Zurich, Switzerland.
Tumor Profiler Consortium
Viktor Hendrik KoelzerFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Holger MochFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Nora C ToussaintETH Zurich, Swiss Data Science Center, Wasserwerkstrasse 10, 8092, Zurich, Switzerland.
Mitchell LevesqueFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Egle RamelyteFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Johanna ManganaFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Reinhard DummerFaculty of Medicine, University of Zurich, Zurich, Switzerland.
Andreas WickiUniversity Hospital Zurich, Department of Medical Oncology and Hematology, Rämistrasse 100, 8091, Zurich, Switzerland. andreas.wicki@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41402424
PMCPMC12819374

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.