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Copy number architectures define treatment-mediated selection of lethal prostate cancer clones

Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen...

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Detalles Bibliográficos
Autores principales: Hasan, A. M. Mahedi, Cremaschi, Paolo, Wetterskog, Daniel, Jayaram, Anuradha, Wong, Stephen Q., Williams, Scott, Pasam, Anupama, Trigos, Anna, Trujillo, Blanca, Grist, Emily, Friedrich, Stefanie, Vainauskas, Osvaldas, Parry, Marina, Ismail, Mazlina, Devlies, Wout, Wingate, Anna, Linch, Mark, Naceur-Lombardelli, Cristina, Swanton, Charles, Jamal-Hanjani, Mariam, Lise, Stefano, Sandhu, Shahneen, Attard, Gerhardt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415299/
https://www.ncbi.nlm.nih.gov/pubmed/37563129
http://dx.doi.org/10.1038/s41467-023-40315-9
Descripción
Sumario:Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 167 metastatic regions from 11 organs harvested post-mortem from 10 men who died from prostate cancer. We identify diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number changes, we confirm a common clone of origin across metastases and diagnostic biopsies, and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. These autosome-defined clusters are characterized by cluster-specific AR gene architectures, and in two index cases are topologically more congruent than by chance (p-values 3.07 × 10(−8) and 6.4 × 10(−4)). Integration with anatomical sites suggests patterns of spread and points of genomic divergence. Here, we show that copy number boundaries identify treatment-selected clones with putatively distinct lethal trajectories.