AR gene aberrations are rare in prostate cancer prior to primary hormone treatment but emerge with castration resistance. To determine AR gene status using a minimally-invasive assay that could have broad clinical utility, we developed a targeted next-generation sequencing approach amenable to plasma DNA that covers all the AR coding bases and regions of the genome highly informative in prostate cancer. We here sequenced 274 plasma samples from 97 castration-resistant prostate cancer patients treated with abiraterone at two institutions. After controlling for the fraction of normal DNA in patients’ circulation, we quantified AR copy number state and point mutations. AR aberrations by the two mechanisms were inversely correlated, supported further by the enrichment of non-synonymous versus synonymous mutations in AR copy number normal as opposed to AR gain samples. While AR copy number was unchanged from pre-treatment to progression and no mutant AR alleles showed signal for acquired gain, we observed emergence of T878A or L702H AR amino acid changes in 13% at progression on abiraterone. Patients with AR gain or T878A or L702H pre-abiraterone (45%) were 4.9 times and 7.8 times less likely to have a decline in PSA by ≥50% or ≥90% respectively and had a significantly worse overall (HR 7.33, 95% CI 3.51-15.34) and progression-free (HR 3.73, 95% CI 2.17-6.41) survival. Evaluation of plasma AR using next-generation sequencing could identify cancers with primary resistance to abiraterone.

BackgroundThere is an urgent need to identify biomarkers to guide personalized therapy in castration-resistant prostate cancer (CRPC). We aimed to clinically qualify androgen receptor (AR) gene status measurement in plasma DNA using multiplex droplet digital PCR (ddPCR) in pre- and post-chemotherapy CRPC.MethodsWe optimized ddPCR assays for AR copy number and mutations and retrospectively analyzed plasma DNA from patients recruited to one of the three biomarker protocols with prospectively collected clinical data. We evaluated associations between plasma AR and overall survival (OS) and progression-free survival (PFS) in 73 chemotherapy-naïve and 98 post-docetaxel CRPC patients treated with enzalutamide or abiraterone (Primary cohort) and 94 chemotherapy-naïve patients treated with enzalutamide (Secondary cohort; PREMIERE trial).ResultsIn the primary cohort, AR gain was observed in 10 (14%) chemotherapy-naïve and 33 (34%) post-docetaxel patients and associated with worse OS [hazard ratio (HR), 3.98; 95% CI 1.74–9.10; P < 0.001 and HR 3.81; 95% CI 2.28–6.37; P < 0.001, respectively], PFS (HR 2.18; 95% CI 1.08–4.39; P = 0.03, and HR 1.95; 95% CI 1.23–3.11; P = 0.01, respectively) and rate of PSA decline ≥50% [odds ratio (OR), 4.7; 95% CI 1.17–19.17; P = 0.035 and OR, 5.0; 95% CI 1.70–14.91; P = 0.003, respectively]. AR mutations [2105T>A (p.L702H) and 2632A>G (p.T878A)] were observed in eight (11%) post-docetaxel but no chemotherapy-naïve abiraterone-treated patients and were also associated with worse OS (HR 3.26; 95% CI 1.47–not reached; P = 0.004). There was no interaction between AR and docetaxel status (P = 0.83 for OS, P = 0.99 for PFS). In the PREMIERE trial, 11 patients (12%) with AR gain had worse PSA-PFS (sPFS) (HR 4.33; 95% CI 1.94–9.68; P < 0.001), radiographic-PFS (rPFS) (HR 8.06; 95% CI 3.26–19.93; P < 0.001) and OS (HR 11.08; 95% CI 2.16–56.95; P = 0.004). Plasma AR was an independent predictor of outcome on multivariable analyses in both cohorts.ConclusionPlasma AR status assessment using ddPCR identifies CRPC with worse outcome to enzalutamide or abiraterone. Prospective evaluation of treatment decisions based on plasma AR is now required.Clinical Trial numberNCT02288936 (PREMIERE trial).

The increasing knowledge of the molecular pathogenesis of cancer and the rapid development of new molecular techniques are promoting the study of early molecular alterations involved in cancer development in body fluids. Specific genetic and epigenetic alterations could be found in plasma, serum, and urine cell-free DNA (cfDNA) and could potentially be used as diagnostic biomarkers for several types of cancers. This review focuses on the role of cfDNA in diagnosis: a PubMed search was performed by selecting papers according to journal impact factor and robustness of statistical analysis. A comprehensive evaluation of “liquid biopsy”, including cfDNA analysis, will be one of the critical challenges to better understand the early mechanisms of cancer development.