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Author

R. Casolino

4 papers indexed here

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Open access Sep 2026

Global uptake of essential cancer medicines with and without complex genomic diagnostics: a retrospective observational study.

BACKGROUND New cancer medicines increasingly depend on molecular testing, from low-cost immunohistochemistry to expensive genomic diagnostics. The WHO Model List of Essential Medicines (EML) guides access to priority medicines. We aimed to analyse uptake trends for essential cancer medicines in 71 countries and two wor...

Kerstin N. Vokinger, S. Hediger, R. Casolino et al. · 0 citations
Review Sep 2026

Balancing benefits, costs, and harms: policy implications of expanding cancer susceptibility testing from genetics clinics to the general population.

Cancer susceptibility testing is rapidly advancing beyond specialist genetics clinics into routine oncology and population-level genomics initiatives. This expansion positions germline pathogenic variants in cancer susceptibility genes and polygenic risk scores as crucial tools for precision prevention, surveillance, a...

Clare Turnbull, Sandra Perdomo, S. Domchek et al. · 1 citation
Review Open access Sep 2026

Cancer genomic data systems in precision oncology: from integration to clinical implementation

Without robust data stewardship, including effective data sharing and global integration, the potential of cancer genomics will remain fragmented across projects, platforms, and jurisdictions, and this disaggregation limits reproducibility, equity, patient benefit, and societal value.

D. Torrents, Oliver Hofmann, K. Cranston et al. · 1 citation
Review Open access Sep 2026

Accelerating equitable cancer genomics and precision oncology in health care and research: a Lancet Oncology Commission.

The Commission developed a value-based resource-stratified implementation framework, a system-readiness assessment tool, a precision oncology workforce competency-based framework, a precision oncology monitoring and evaluation framework, and principles for responsible data sharing and health-system learning.

R. Casolino, J. Mateo, E. D. de Vries et al. · 11 citations

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