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1.

Introduction

Prostate cancer is the most common cancer diagnosed in

men, with nearly 410 000 diagnoses in Europe each year.

Approximately 20–25% will develop metastatic disease,

which inevitably progresses to lethal castration-resistant

prostate cancer (CRPC). CRPC is characterized by progres-

sive disease under maximal androgen blockade. Nonethe-

less, continued targeting of the androgen receptor (AR) has

demonstrated that this signalling pathway remains one of

the main drivers of progressive disease, even in the CRPC

setting

[1]

. Besides taxane-based chemotherapy regimens,

next-generation androgen deprivation therapies, encom-

passing both the CYP17 inhibitor abiraterone acetate and

novel antiandrogens such as enzalutamide, have become

available. However, up to 20–40% of patients have resistant

disease at the start of these second-line AR therapies

[2–5] .

Various AR perturbations, such as mutations

[6–8]

,

amplifications

[9–11]

, and splice variants

[12–15] ,

have

been associated with resistance to androgen deprivation

therapies. The emergence of mutations is affected by the

treatment history, as individual mutations have different

clinical consequences

[16,17]

. Amplifications occur in 29–

45% of CRPC patients before starting a new antiandrogen

therapy

[9,11,18]

and increase the expression of AR, which

is associated with resistance to next-generation androgen

deprivation therapies

[11]

. Furthermore, AR splice variants

(ARVs) can act as constitutively active transcription factors,

bypassing the need for activating ligands and therefore

stimulating ligand-independent growth and progression of

the disease

[19–22] .

Prostate cancer metastasises primarily to bone

[2]

and

there are low success rates for obtaining adequate material

for profiling, even in the research setting

[18]

. The

application of liquid biopsies, in the form of circulating

tumour cells (CTCs), circulating tumour DNA (ctDNA), or

exosomes, has potential for biomarker profiling without

access to metastatic tissue. Consequently, AR-V7 has

recently been linked to resistance to abiraterone acetate

and enzalutamide in multiple studies that applied various

forms of liquid biopsy

[12–15] .

However, there is ongoing discussion about the discrim-

inatory value of detecting AR-V7 expression

[23] .

As other

AR perturbations have been associated with endocrine

treatment outcome, it is likely that a combination test at

both the DNA and RNA levels will improve patient

stratification. Previous work pioneered by Li and colleagues

demonstrated a connection between structural AR variation

and the generation of noncanonical transcripts

[24,25]

. We

hypothesized that at least a subset of CRPC patients may

carry relevant intra-AR variations.

Therefore, we performed a pilot study in a selected

cohort of patients with CRPC involving thorough AR

profiling at both the DNA and RNA levels in liquid biopsies

(

n

= 34) from 30 patients. Our profiling combined muta-

tions, copy-number variations (CNVs), and sequencing of

the entire AR gene, including introns, in combination with

expression information from the full-length AR and seven

ARVs (AR45, AR-V1, AR-V2, AR-V3, AR-V5, AR-V7, and

AR-V9). The aim of the study was to investigate if a

comprehensive AR profile could provide additional infor-

mation to stratify patients beyond AR-V7 expression in the

context of endocrine treatment.

2.

Patients and methods

The Supplementary material provides a detailed description of all the

methods. In brief, we collected blood samples from chemotherapy

pretreated and chemo-naı¨ve patients with CRPC in a non-interventional

clinical study. Ethical approval was obtained from the institutional

review and ethics board of GZA Sint-Augustinus. All patients provided a

written informed consent document. Blood collections included samples

for germline DNA extraction, CTC enumeration, CTC enrichment, and

extraction of cell-free DNA from plasma.

ARV expression levels were assessed by performing cDNA synthesis,

multiplex exon-junction–specific PCR (MASTR, Multiplicom NV), and

Illumina sequencing on RNA derived from CellSearch-enriched CTC

fractions. DNA-based library preparation was performed using a

ThruPLEX DNA-seq kit (Rubicon Genomics). Low-pass whole-genome

sequencing (1 50 bp) was performed for identification of copy-number

alterations. Targeted sequencing was performed using a SeqCap EZ

system (Roche Nimblegen) for detection of point mutations and intra-AR

structural variations (2 100 bp). Sequencing was conducted on a

Hiseq2500 instrument in rapid mode. Details on sequence data

processing and statistical analysis are available in the Supplementary

material. To identify intra-AR structural variations, we developed an in-

house structural variant–calling algorithm,

svcaller

, that is publicly

available

( https://github.com/tomwhi/svcaller )

.

3.

Results

From October 2013 to June 2015, liquid biopsies (

n

= 34)

were collected from 30 patients with CRPC. Clinicopatho-

logic and radiologic data for the cohort are given in

Supplementary Table 1. The selected cohort encompasses

patients with poor prognosis, with 17/30 (56.7%) patients

having M1 disease at initial diagnosis. The goal was to

thoroughly investigate the AR molecular status in the

context of endocrine treatment

( Fig. 1 )

.

Cell-free DNA (cfDNA) was successfully extracted from

33 plasma samples and sequencing libraries were con-

structed. The libraries were subjected to low-pass whole-

genome sequencing to determine the copy-number AR

status as well as genome-wide somatic CNVs (Supplemen-

tary Table 2, Supplementary Fig. 1). AR amplifications were

detected in 20/30 patients, with high-level amplifications in

11 patients.

Subsequently, targeted sequencing was performed via

in-solution hybridisation capture on the same sequencing

libraries used for low-pass whole-genome sequencing. The

target region contained baits complementary to 112 genes

(Supplementary Table 3), including all coding exons and

nonrepetitive intronic regions of AR (Supplementary Fig. 2).

The overall average coverage was 1169 (interquartile

range [IQR] 904.5 –2180 ; Supplementary Table 2). So-

matic mutations were detected in all profiled samples

(Supplementary Fig. 3, Supplementary Table 4). Genes

previously reported to be over-represented in CRPC

compared to primary prostate cancer

[18]

, such as

TP53

,

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