Copy number architectures define treatment-mediated selection of lethal prostate cancer clones.
A M Mahedi HasanPaolo CremaschiDaniel WetterskogAnuradha JayaramStephen Q WongScott WilliamsAnupama PasamAnna Sofia TrigosBlanca TrujilloEmily GristStefanie FriedrichOsvaldas VainauskasMarina ParryMazlina IsmailWout DevliesAnna WingateMark LinchCristina Naceur-Lombardellinull nullCharles SwantonMariam Jamal-HanjaniStefano LiseShahneen SandhuGerhardt AttardPublished in: Nature communications (2023)
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.
Keyphrases
- replacement therapy
- copy number
- genome wide
- mitochondrial dna
- prostate cancer
- dna methylation
- end stage renal disease
- radical prostatectomy
- chronic kidney disease
- squamous cell carcinoma
- small cell lung cancer
- case report
- peritoneal dialysis
- gene expression
- single cell
- drug delivery
- prognostic factors
- patient reported outcomes