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Multiomics Tumour Profiling Guides Personalized Melanoma Treatment in Prospective TuPro Study

The Tumor Profiler precision oncology project applied nine independent single-cell and omics technologies to 126 melanoma samples, generating up to 500 GB of data per sample within four weeks. In 75% of cases, the molecular tumour board judged the multi-omic data useful for treatment recommendations. Among 37 difficult-to-treat patients receiving polybiomarker-driven beyond-standard-of-care therapy, the objective response rate was 38% with a disease control rate of 54%, demonstrating feasibility and clinical relevance of comprehensive omics-based tumour profiling.

The original study

Feasibility of multiomics tumor profiling for guiding treatment of melanoma.

Authors
Miglino N, Toussaint NC, Ring A, Bonilla X, Tusup M, Gosztonyi B, et al.
Journal
Nature medicine
Type
Journal Article, Multicenter Study, Observational Study
PMID
40425842
Read the original study →

Original 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 ≥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. ClinicalTrials.gov identifier: NCT06463509 .