Feasibility of multiomics tumor profiling for guiding treatment of melanoma
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Date
2025-07
Publication Type
Journal Article
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yes
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Abstract
There is limited evidence supporting the feasibility of using omics and functional technologies to inform treatment decisions. Here we present results from a cohort of 116 melanoma patients in the prospective, multicentric observational Tumor Profiler (TuPro) precision oncology project. Nine independent technologies, mostly at single-cell level, were used to analyze 126 patient samples, generating up to 500 Gb of data per sample (40,000 potential markers) within 4 weeks. Among established and experimental markers, the molecular tumor board selected 54 to inform its treatment recommendations. In 75% of cases, TuPro-based data were judged to be useful in informing recommendations. Patients received either standard of care (SOC) treatments or highly individualized, polybiomarker-driven treatments (beyond SOC). The objective response rate in difficult-to-treat palliative, beyond SOC patients (n = 37) was 38%, with a disease control rate of 54%. Progression-free survival of patients with TuPro-informed therapy decisions was 6.04 months, (95% confidence interval, 3.75-12.06) and 5.35 months (95% confidence interval, 2.89-12.06) in $\geq$ third therapy lines. The proof-of-concept TuPro project demonstrated the feasibility and relevance of omics-based tumor profiling to support data-guided clinical decision-making.
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published
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Journal / series
Volume
31 (7)
Pages / Article No.
2430 - 2441
Publisher
Nature
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Software
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Date collected
Date created
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Organisational unit
02892 - NEXUS Personalized Health / NEXUS Personalized Health
02072 - Proteomics Plattform D-HEST
09568 - Rätsch, Gunnar / Rätsch, Gunnar
Notes
ETH authors on behalf of the Tumor Profiler Consortium: Günther, Detlef and Immer, Alexander