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

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作者
A. M. Mahedi Hasan
Paolo Cremaschi
Daniel Wetterskog
Anuradha Jayaram
Stephen Q. Wong
Scott Williams
Anupama Pasam
Anna Trigos
Blanca Trujillo
Emily Grist
Stefanie Friedrich
Osvaldas Vainauskas
Marina Parry
Mazlina Ismail
Wout Devlies
Anna Wingate
Mark Linch
Cristina Naceur-Lombardelli
Charles Swanton
Mariam Jamal-Hanjani
Stefano Lise
Shahneen Sandhu
Gerhardt Attard
机构
[1] University College London Cancer Institute,The Sir Peter MacCallum Department of Oncology
[2] University College London Hospitals,Cancer Research UK Lung Cancer Centre of Excellence
[3] Peter MacCallum Cancer Centre,Cancer Evolution and Genome Instability Laboratory
[4] University of Melbourne,Department of Oncology
[5] University College London Cancer Institute,Cancer Metastasis Laboratory
[6] The Francis Crick Institute,Department of Pathology
[7] University College London Hospitals,CRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology
[8] University College London Cancer Institute,Cancer Research UK Manchester Institute
[9] The Princess Alexandra Hospital,Cancer Research UK & UCL Cancer Trials Centre
[10] The Francis Crick Institute,undefined
[11] Leeds Teaching Hospitals NHS Trust,undefined
[12] Mount Vernon Cancer Centre,undefined
[13] GZA-ZNA Antwerp,undefined
[14] The Whittington Hospital NHS Trust,undefined
[15] The Royal Free Hospital,undefined
[16] The Royal Marsden Hospital,undefined
[17] The Institute of Cancer Research,undefined
[18] Barts Cancer Institute,undefined
[19] Queen Mary’s University of London,undefined
[20] Sheffield Teaching Hospitals NHS Foundation Trust,undefined
[21] Imperial College London NHS Foundation Trust,undefined
[22] Guy’s and St Thomas’ NHS Foundation Trust,undefined
[23] King’s College London,undefined
[24] CRUK Cambridge Centre,undefined
[25] University of Cambridge,undefined
[26] Addenbrooke’s Hospital,undefined
[27] Wellcome Sanger Institute,undefined
[28] University of Oxford,undefined
[29] Queen Elizabeth University Hospital,undefined
[30] Beatson Institute for Cancer Research,undefined
[31] University of Manchester,undefined
[32] Christie Hospital,undefined
[33] The Christie NHS Foundation Trust,undefined
[34] University Hospitals of Leicester,undefined
[35] Heart of England NHS Foundation Trust,undefined
[36] University Hospital Southampton NHS Trust,undefined
[37] Imperial College London,undefined
[38] Independent Cancer Patients’ Voice,undefined
[39] University College London,undefined
[40] Marie Curie Hospice,undefined
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摘要
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.
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