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J. Mateo

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Open access Oct 2026

Talazoparib plus enzalutamide in high-volume metastatic hormone-naive prostate cancer: a randomized phase 2 trial.

Combining inhibition of poly(ADP-ribose) polymerase and androgen receptor (AR) pathway has demonstrated clinical activity in men with metastatic prostate cancer, although the extent of benefit in tumors lacking homologous recombination repair (HRR) gene alterations remains uncertain. We conducted a randomized phase 2 t...

F. Zacchi, Elena Castro, Kathleen Imbach et al. · 0 citations
Open access Sep 2026

The RNA cargo of plasma-derived extracellular vesicles in mCRPC patients captures cancer cells and tumor microenvironment signals

Circulating analytes in cancer patients capture tumor-related signals. We profiled matched extracellular vesicle (EV) total RNA and cell-free DNA (cfDNA) from the same plasma aliquots of chemo-naive metastatic castration-resistant prostate cancer (mCRPC) patients treated with Enzalutamide (n=54 patients, n=119 longitud...

F. Vannuccini, Yari Ciani, Vera Mugoni 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

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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