- 1Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
- 2Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
- 3Unit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
Introduction: Plasma androgen receptor (AR) copy number (CN) status identifies castration-resistant prostate cancer (CRPC) patients with worse outcome on abiraterone/enzalutamide. However, the impact of AR CN changes on clinical outcome in CRPC is unknown.
Materials and Methods: Plasma samples from 73 patients treated with abiraterone or enzalutamide were collected at baseline and at the time of progression disease (PD). Droplet digital polymerase chain reaction was used to assess AR CN status.
Results: We showed that 11 patients (15.1%) changed AR CN status from baseline to PD (9 patients from normal to gain, 2 from gain to normal). Patients changing AR CN status from normal at baseline to gain at PD had intermediate median overall survival (OS) of 20.5 months (95% CI = 8.0–44.2) between those who remained AR CN normal from baseline to PD (27.3 months [95% CI = 21.9–34.4]) and those who remained AR CN gain from baseline to PD (9.1 months [95% CI = 3.8–14.5], p < 0.0001). Patients changing AR CN from normal at baseline to gain at PD had a median progression-free survival (PFS) of 9.2 months (95% CI = 2.0–14.7), patients who remained AR CN normal had a median PFS of 9.1 months (95% CI = 7.2–10.1), and patients who remained AR CN gain had a median PFS of 5.4 (95% CI = 3.6–6.5, p = 0.0005). Both OS and PFS were not significantly different between patients with AR CN that changes from normal to gain and patients with stable AR CN normal.
Conclusions: We showed that CRPC patients changing AR CN status from baseline to progression time point had intermediate OS and we suggested that AR CN evaluation at baseline could be the most informative for clinical outcome of CRPC patients treated with abiraterone or enzalutamide. Larger prospective studies are warranted.
Introduction
Abiraterone acetate and enzalutamide belong to therapies introduced in the past years for patients with metastatic castration-resistant prostate cancer (CRPC), improving patient survival and quality of life (1–4). During therapy, the fractions of DNA alterations may vary under treatment selection, giving rise to alterations originally present in a very small number of cancer cells (5). Moreover, currently there is not yet a validated sequence of therapies and patient selection strategies, so there is now an urgent need to identify noninvasive biomarkers able to guide treatment selection for CRPC personalized medicine. Cell free DNA (cfDNA) has emerged as a minimally invasive and good source of biomarkers deriving from multiple metastases, suggesting its role in monitoring clinical outcome and tumor heterogeneity (6–8). Literature data reported that changes in cfDNA concentration correlate with radiological progression-free survival (PFS) and overall survival (OS) and may be used as independent prognostic biomarker of response to taxanes (9).
Androgen receptor (AR) has a key role in prostate cancer development and progression (10, 11). Copy number (CN) of AR has been well-investigated and is considered to be one of the main mechanisms of hormone-sensitive to hormone-resistant transition (12). Plasma AR CN at baseline of abiraterone and enzalutamide was associated with resistance to these therapies, both in pre- and post-chemotherapy with docetaxel (13). In this study, we evaluate the role of plasma AR CN changes on clinical outcome in CRPC patients treated with abiraterone or enzalutamide.
Materials and Methods
Patients
From August 2012 to June 2016, CRPC patients with histologically confirmed diagnosis of prostate adenocarcinoma were enrolled. Patients were treated with abiraterone or enzalutamide in pre- or post-chemotherapy settings. Treatment was continued until evidence of disease progression or unacceptable toxicity. The choice of therapy was at the discretion of the treating physician.
Serum prostate-specific antigen (PSA), alkaline phosphatase (ALP), serum lactate dehydrogenase (LDH), cell blood count to determine neutrophil to lymphocyte ratio were measured within 1 week of starting therapy and once per month thereafter. Radiographic disease was assessed with computed tomography (CT) and bone scans at the time of screening and once every 12 weeks during treatment. 18F-fluorocholine positron emission tomography/computed tomography (FCH-PET/CT) was performed after 12 ± 4 weeks of treatment.
Progression disease (PD) was assessed considering radiographic evidence of new lesions by bone scintigraphy and/or new or enlarging soft tissue lesions by CT or magnetic resonance imaging, per the Prostate Cancer Clinical Trials Working Group 3 guidelines (14). The study was approved by the Local Ethics Committee and informed consent was obtained from each patient for their biological material to be used for research purposes (CEIIAV IRSTB048).
Molecular Analysis
Peripheral blood samples were collected before initiating therapy with abiraterone or enzalutamide and at the time of PD. The blood was drawn into 10 ml ethylene diamine tetra-acetic acid (EDTA) tubes, maintained at room temperature, processed within 30 min and stored at −80°C. Circulating DNA was extracted from 1 or 2 ml of plasma using QIAamp Circulating Nucleic Acid Kit (Qiagen). Total extracted DNA was quantified with the Quant-iT high sensitivity PicoGreen double-stranded DNA Assay Kit (Invitrogen). We performed plasma AR CN analysis with a multiplex digital droplet polymerase chain reaction (Biorad) assay using three reference genes: NSUN3, ElF2C1, and AP3B1 and ZXDB at Xp11.21 as a control gene not involving the whole arm of the chromosome, as previously described (15).
Statistical Analyses
PFS was defined as the time elapsed between the date of start of therapy and the date of radiological/clinical or biochemical progression or last tumor evaluation. OS was defined as the time elapsed between the date of start of therapy and the date of death from any cause or the date of last follow-up. PFS and OS were estimated using Kaplan–Meier method and compared using logrank test. P-values were two-sided and a p < 0.05 was considered as statistically significant. Statistical analyses were performed with SAS statistical software, version 9.4 (SAS Institute, Cary, NC, USA).
Results
This study evaluated 73 patients with sufficient plasma DNA for AR CN detection in both baseline and progression samples. Of these, 35 (48%) and 38 (52%) received abiraterone or enzalutamide pre- and post- chemotherapy, respectively. When comparing the baseline patient characteristics according to therapy, post-chemotherapy setting displayed a higher Gleason score, a greater incidence of bone and visceral metastases as well as higher levels of ALP and LDH (as shown in Table 1). We found that 84% (49) of 58 patients with AR CN normal and 87% (13) of 15 with AR CN gain at baseline showed no changes in AR CN status in their PD sample (Figure 1A), observing a 15.1% conversion rate of AR CN status from baseline to PD time point. Clinical outcome in terms of OS (Figure 1B) and PFS (Figure 1C) was evaluated. In univariate analyses, we found that patients who were AR CN normal at baseline, then converted to AR CN gain at PD, had intermediate OS between those who were AR CN normal at baseline and remained normal at PD and those who were AR CN gain at baseline and remained gain. Patients changing AR CN from gain to normal were not included in the analyses because the group is only represented by two men. Particularly, we showed that patients changing AR CN from normal to gain had an intermediate median OS of 20.5 months (95% CI = 8.0–44.2) between patients with stable AR CN normal that presented a median OS of 27.3 months (95% CI = 21.9–34.4) and patients with stable AR CN gain with a median OS of 9.1 (95% CI = 3.8–14.5, p < 0.0001). The two patients changing AR CN from gain to normal presented an OS of 8.5 and 17.4 months, respectively. No significantly worse OS was observed for patients changing AR CN from normal to gain compared to patients with stable AR CN normal (p = 0.318, Figure 1B).
Figure 1. AR copy number changes. (A) AR copy number changes from baseline to progression time point. Median OS (B) and PFS (C) of stable AR CN normal, AR CN changing from normal to gain, and stable AR CN gain patients with the corresponding Kaplan–Meier curves. (D) Representative case that changed AR CN from normal to gain at stable disease and remained gain at disease progression, even though PSA response occurred.
Patients changing AR CN from normal to gain status had a median PFS of 9.2 months (95% CI = 2.0–14.7), patients with stable AR CN normal presented a median PFS of 9.1 months (95% CI = 7.2–10.1) and patients with stable AR CN gain had a median PFS of 5.4 (95% CI = 3.6–6.5, p = 0.0005). The two patients changing AR CN from gain to normal presented a PFS of 8.5 and 3.8 months, respectively. No significantly worse PFS was observed for patients changing AR CN from normal to gain compared to patients with stable AR CN normal (p = 0.551) (Figure 1C).
Correlation analysis between AR CN changes and PSA change was performed and we did not found a statistically significant correlation, as shown in Supplementary Table 1. PSA change was defined as a PSA decline >50% from baseline at first radiological evaluation (after about 3 months from starting therapy) according to the Prostate Cancer Clinical Trials Working Group 3 guidelines. PSA decline was available for 66 patients and we did not consider the two patients changing AR CN from gain to normal. Interestingly, we found that all patients changing AR CN status from normal to gain (8) did not show PSA decline.
Discussion
This study represents the first evidence of the impact of plasma AR CN changes from baseline to progression time point on clinical outcome of CRPC patients. We identified a low conversion rate of AR CN status, suggesting that, for most of patients, AR CN does not change under the pressure of abiraterone and enzalutamide. These results confirm those found by Romanel et al. (13) that showed that AR CN status in individual metastases does not noticeably change with treatment, but the impact on clinical outcome was not investigated.
We hypothesized that this could be challenging for physicians in helping treatment decision and possibly substituting therapy if AR CN change occurs during treatment, minimizing overtreatment. Our results showed that patients changing AR CN from normal to gain had intermediate median OS between patients with stable AR CN normal and patients with stable AR CN gain. This trend of intermediate prognosis was not observed for PFS, probably because AR CN was analyzed at the time of disease progression, impeding to impact on PFS itself. However, since the number of patients changing AR CN from normal to gain (9) was very low, additional validation is needed. Similarly, only 2 of the 15 AR CN gain patients became normal at PD, so it does not allow to identify the role of AR CN conversion in this setting of patients. Moreover, since both PFS and OS were not significantly different between patients with AR CN that changes from normal to gain and patients with stable AR CN normal, we hypothesized that the difference on clinical outcome depends on AR CN status at baseline. For this reason, we suggested that baseline assessment could be the most relevant time point to consider for AR CN status in therapeutic decision making.
Clinical utility of cfDNA biomarkers has emerged because of the impracticality of sampling bone metastatic tissue in CRPC patients. Circulating DNA is easy to obtain for serial monitoring of tumor dynamics, allowing the recognition of tumor heterogeneity (15). Primary and acquired resistance to AR-targeted therapies has been associated with mutations or amplification of AR gene (8, 16–18) and the expression of AR splice variants (i.e., AR-V7) in circulating tumor cells (CTC) or in metastatic tissues (19, 20). Hörnberg et al. (20) found that high levels expression of AR-V7 in prostate cancer bone metastases correlates with particularly poor prognosis. Antonarakis et al. (21) showed that 14% of patients AR-V7 negative at their baseline CTC samples converted to AR-V7 positive during the course of treatment with abiraterone/enzalutamide or at the time of PD and demonstrated that these patients had intermediate clinical outcomes (PSA response rates, PFS) between AR-V7 negative patients that remained negative and AR-V7 positive patients who remained all positive (21). Changes in AR-V7 status (i.e., conversion from AR-V7 negative to positive during AR-targeted therapies and reversion from AR-V7 positive to negative during taxanes) highlight the potential role of AR-V7 as a dynamic marker (22). However, large cohorts studies are needed to better clarify the predictive ability of AR-V7, standardize sensitive, and cost-sustainable clinical laboratory assays for the measurement of patients AR variants (23).
Actually, it is unclear whether lethal phenotype derives from multiple foci with different genomic patterns that metastasize or it depends on a single clone that maintains dominance during the course of the disease. These mechanisms could select specific clones, shedding light on the biological processes underlying the conversion of AR CN status (from normal to gain or from gain to normal) during therapies (5).
In treatment-naïve patients, intra-tumoral heterogeneity increases as the tumor burden increases, and individual metastatic lesions are affected by their local microenvironment. CRPC cells modify themselves because of the presence of distinct clones selected by therapies, that could be a basis of treatment resistance (7, 24). Abiraterone acetate and enzalutamide were introduced into clinical practice to overcome AR signaling reactivation after androgen deprivation therapies (25, 26). Since treatment resistance mechanisms occurs, there is an urgent need to identify the predictive and prognostic biomarkers for treatment selection in CRPC.
The present study represents the first evidence of the impact of plasma AR CN changes during abiraterone and enzalutamide treatments. We showed that conversion rate of AR CN was low and that CRPC patients changing AR CN status from baseline to progression time point had intermediate OS. Moreover, we suggested that AR CN evaluation at baseline could be the most informative for clinical outcome of CRPC patients treated with abiraterone or enzalutamide. The major limitations of the study included the relatively small number of patients enrolled and the retrospective nature of the study. Moreover, we evaluated AR CN status at baseline and progression time points, but AR CN at first radiological evaluation after 3 months of therapy is needed, as it represents the most clinically significant time point, according to Prostate Cancer Clinical Trials Working Group 3 guidelines. Finally, we did not distinguished circulating tumor DNA (ctDNA) from normal DNA present in cfDNA that potentially affects the detection of AR gain in patients with a low proportion of ctDNA. Larger prospective biomarkers study is warranted.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by COMITATO ETICO della Romagna. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
Conceptualization: GG and VC. Methodology, writing—original draft preparation, and writing—review and editing: GG. Software: SG. Validation: UD, VC, and ES. Formal analysis: ES. Investigation: CL. Resources: GS. Data curation: AA. Visualization: CC. Supervision: UD. Project administration: VC. All authors have read and agreed to the published version of the manuscript.
Conflict of Interest
GG has received travel support from Sanofi. VC has received speaker honoraria or travel support from Astellas, Janssen-Cilag, and Sanofi-Aventis, and has received consulting fee from Bayer. CL has received honoraria for consulting (advisory board) from Bristol-Myers Squibb and Janssen-Cilag. UD has served as consultant/advisory board member for Astellas, Bayer, BMS, Ipsen, Janssen, Merck, Pfizer, Sanofi, and has received travel support from BMS, Ipsen, Janssen, Pfizer, and has received research funding from AstraZeneca, Roche, Sanofi (Inst).
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer FM declared past co-authorships with the authors to the handling editor.
Acknowledgments
The authors would like to thank Alessia Filograna at Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori for her nursing support.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2020.567809/full#supplementary-material
Abbreviations
AR, androgen receptor; CN, copy number; CRPC, castration-resistant prostate cancer; PD, progression disease; OS, overall survival; PFS, progression-free survival; cfDNA, Cell free DNA; PSA, prostate-specific antigen; ALP, alkaline phosphatase; LDH, lactate dehydrogenase; CT, computed tomography; AR-V7, AR splice variant 7; CTC, circulating tumor cells; ctDNA, circulating tumor DNA.
References
1. de Bon JS, Logothetis CJ, Molina A, Fizazi K, North S, Chu L, et al. Abiraterone and increased survival in metastatic prostate cancer. N Engl J Med. (2011) 364:1995–2005. doi: 10.1056/NEJMoa1014618
2. Ryan CJ, Smith MR, de Bono JS, Molina A, Logothetis CJ, de Souza P, et al. Abiraterone in metastatic prostate cancer without previous chemotherapy. N Engl J Med. (2013) 368:138–48. doi: 10.1056/NEJMx130004
3. Beer TM, Armstrong AJ, Rathkopf DE, Loriot Y, Sternberg CN, Higano CS, et al. Enzalutamide in metastatic prostate cancer before chemotherapy. N Engl J Med. (2014) 371:424–33. doi: 10.1056/NEJMoa1405095
4. Scher HI, Fizazi K, Saad F, Taplin ME, Sternberg CN, Miller K, et al. Increased survival with enzalutamide in prostate cancer after chemotherapy. N Engl J Med. (2012) 367:1187–97. doi: 10.1056/NEJMoa1207506
5. Diehl F, Li M, Dressman D, He Y, Shen D, Szabo S, et al. Detection and quantification of mutations in the plasma of patients with colorectal tumors. Proc Natl Acad Sci U S A. (2005) 102:16368–73. doi: 10.1073/pnas.0507904102
6. Diaz LA Jr, Bardelli A. Liquid biopsies: genotyping circulating tumor DNA. J Clin Oncol. (2014) 32:579–86. doi: 10.1200/JCO.2012.45.2011
7. Gundem G, Van Loo P, Kremeyer B, Alexandrov LB, Tubio JMC, Papaemmanuil E1, et al. The evolutionary history of lethal metastatic prostate cancer. Nature. (2015) 520:353–7. doi: 10.1038/nature14347
8. Wyatt AW, Azad AA, Volik SV, Annala M, Beja K, McConeghy B, et al. Genomic alterations in cell-free DNA and enzalutamide resistance in castration-resistant prostate cancer. JAMA Oncol. (2016) 2:1598–606. doi: 10.1001/jamaoncol.2016.0494
9. Mehra N, Dolling D, Sumanasuriya S, Christova R, Pope L, Carreira S, et al. Plasma cell-free DNA concentration and outcomes from taxane therapy in metastatic castration-resistant prostate cancer from two phase III trials (FIRSTANA and PROSELICA). Eur Urol. (2018) 74:283–91. doi: 10.1016/j.eururo.2018.02.013
10. Scher HI, Sawyers CL. Biology of progressive, castration-resistant prostate cancer: directed therapies targeting the androgen-receptor signaling axis. J Clin Oncol. (2005) 23:8253–61. doi: 10.1200/JCO.2005.03.4777
11. Dai C, Heemers H, Sharifi N. Androgen signaling in prostate cancer. Cold Spring Harb Perspect Med. (2017) 7:a030452. doi: 10.1101/cshperspect.a030452
12. Attard G, Parker C, Eeles RA, Schröder F, Tomlins SA, Tannock I, et al. Prostate cancer. Lancet. (2016) 387:70–82. doi: 10.1016/S0140-6736(14)61947-4
13. Romanel A, Gasi Tandefelt D, Conteduca V, Jayaram A, Casiraghi N, Wetterskog D, et al. Plasma AR and abiraterone-resistant prostate cancer. Sci Transl Med. (2015) 7:312re10. doi: 10.1126/scitranslmed.aac9511
14. Scher HI, Morris MJ, Stadler WM, Higano C, Basch E, Fizazi K, et al. Trial design and objectives for castration-resistant prostate cancer: updated recommendations from the prostate cancer clinical trials working group 3. J Clin Oncol. (2016) 34:1402–18. doi: 10.1200/JCO.2015.64.2702
15. Conteduca V, Wetterskog D, Scarpi E, Romanel A, Gurioli G, Jayaram A, et al. Plasma tumour DNA as an early indicator of treatment response in metastatic castration-resistant prostate cancer. Br J Cancer. (2020). doi: 10.1038/s41416-020-0969-5. [Epub ahead of print].
16. Conteduca V, Wetterskog D, Sharabiani MTA, Grande E, Fernandez-Perez MP, Jayaram A, et al. Androgen receptor gene status in plasma DNA associates with worse outcome on enzalutamide or abiraterone for castration-resistant prostate cancer: a multi-institution correlative biomarker study. Ann Oncol. (2017) 28:1508–16. doi: 10.1093/annonc/mdx155
17. Ulz P, Belic J, Graf R, Auer M, Lafer I, Fischereder K, et al. Whole-genome plasma sequencing reveals focal amplifications as a driving force in metastatic prostate cancer. Nat Commun. (2016) 7:12008. doi: 10.1038/ncomms12008
18. Azad AA, Volik SV, Wyatt AW, Haegert A, Le Bihan S, Bell RH, et al. Androgen receptor gene aberrations in circulating cell-free DNA: biomarkers of therapeutic resistance in castration-resistant prostate cancer. Clin Cancer Res. (2015) 21:2315–24. doi: 10.1158/1078-0432.CCR-14-2666
19. Scher HI, Lu D, Schreiber NA, Louw J, Graf RP, Vargas HA, et al. Association of AR-V7 on circulating tumor cells as a treatment specific biomarker with outcomes and survival in castration-resistant prostate cancer. JAMA Oncol. (2016) 2:1441–9. doi: 10.1001/jamaoncol.2016.1828
20. Hörnberg E, Ylitalo EB, Crnalic S, Antti H, Stattin P, Widmark A, et al. Expression of androgen receptor splice variants in prostate cancer bone metastases is associated with castration-resistance and short survival. PLoS One. (2011) 6:e19059. doi: 10.1371/journal.pone.0019059
21. Antonarakis ES, Lu C, Wang H, Luber B, Nakazawa M, Roeser JC, et al. AR-V7 and resistance to enzalutamide and abiraterone in prostate cancer. N Engl J Med. (2014) 371:1028–38. doi: 10.1056/NEJMoa1315815
22. Nakazawa M, Lu C, Chen Y, Paller CJ, Carducci MA, Eisenberger MA, et al. Serial blood-based analysis of AR-V7 in men with advanced prostate cancer. Ann Oncol. (2015) 26:1859–65. doi: 10.1093/annonc/mdv282
23. Ciccarese C, Santoni M, Brunelli M, Buti S, Modena A, Nabissi M, et al. AR-V7 and prostate cancer: the watershed for treatment selection? Cancer Treat Rev. (2016) 43:27–35. doi: 10.1016/j.ctrv.2015.12.003
24. Carreira S, Romanel A, Goodall J, Grist E, Ferraldeschi R, Miranda S, et al. Tumor clone dynamics in lethal prostate cancer. Sci Transl Med. (2014) 6:254ra125. doi: 10.1126/scitranslmed.3009448
25. Tran C, Ouk S, Clegg NJ, Chen Y, Watson PA, Arora V, et al. Development of a second-generation antiandrogen for treatment of advanced prostate cancer. Science. (2009) 324:787–90. doi: 10.1126/science.1168175
Keywords: cell free DNA, androgen receptor, copy number changes, abiraterone acetate, enzalutamide, clinical outcome
Citation: Gurioli G, Conteduca V, Lolli C, Schepisi G, Gargiulo S, Altavilla A, Casadei C, Scarpi E and De Giorgi U (2020) Plasma AR Copy Number Changes and Outcome to Abiraterone and Enzalutamide. Front. Oncol. 10:567809. doi: 10.3389/fonc.2020.567809
Received: 30 May 2020; Accepted: 13 August 2020;
Published: 24 September 2020.
Edited by:
Elisabetta Rossi, University of Padua, ItalyReviewed by:
Victor C. Kok, Asia University, TaiwanFrancesco Massari, Integrated University Hospital Verona, Italy
Copyright © 2020 Gurioli, Conteduca, Lolli, Schepisi, Gargiulo, Altavilla, Casadei, Scarpi and De Giorgi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Giorgia Gurioli, giorgia.gurioli@irst.emr.it