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Prognostic significance of total plasma cell-free DNA level and androgen receptor amplification in castration-resistant prostate cancer

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Abstract

Purpose

To investigate the prognostic significance of total cell-free DNA (cfDNA) level and androgen receptor amplification (AR-amp) in patients with castration-resistant prostate cancer (CRPC).

Methods

We retrospectively compared the total cfDNA level and AR-amp in 42 individuals without prostate cancer, 57 patients with localized prostate cancer without androgen-deprivation therapy (ADT), 97 patients with castration-sensitive prostate cancer (CSPC) with ADT, and 97 patients with CRPC. The association of these cfDNA biomarkers on disease status and overall survival was evaluated using Kaplan–Meier analysis and multivariable Cox regression analysis. Finally, a simple risk model was developed including total cfDNA and AR-amp to predict poor prognosis.

Results

The median total cfDNA level and AR-amp in patients with CRPC was 387 pg/μL and 1.07 copies, respectively. The total cfDNA levels and AR-amp were significantly higher in the patients with CRPC than in individuals without prostate cancer, patients with localized prostate cancer without ADT, and patients with CSPC with ADT. Total cfDNA-high (> 600 pg/μL) and AR-amp-high (> 1.26 copies) were significantly associated with poor overall survival. Multivariable Cox regression analysis showed cfDNA-high and AR-amp-high were significantly associated with poor overall survival in patients with CRPC. We developed a risk model using cfDNA-high (score 1) and AR-amp-high (score 1). The risk score 1–2 was significantly associated with worse overall survival than score 0.

Conclusion

Total cfDNA level and AR-amp are potential biomarkers for poor prognosis in patients with CRPC.

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References

  1. Parker C, Castro E, Fizazi K et al (2020) Prostate cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 31(9):1119–1134. https://doi.org/10.1016/j.annonc.2020.06.011

    Article  CAS  PubMed  Google Scholar 

  2. Dasgupta P, Davis J, Hughes S (2019) NICE guidelines on prostate cancer 2019. BJU Int 124(1):1. https://doi.org/10.1111/bju.14815

    Article  PubMed  Google Scholar 

  3. Kimura T, Egawa S (2018) Epidemiology of prostate cancer in Asian countries. Int J Urol 25(6):524–531. https://doi.org/10.1111/iju.13593

    Article  PubMed  Google Scholar 

  4. Van den Broeck T, van den Bergh RCN, Briers E et al (2020) Biochemical recurrence in prostate cancer: the European association of urology prostate cancer guidelines panel recommendations. Eur Urol Focus 6(2):231–234. https://doi.org/10.1016/j.euf.2019.06.004

    Article  PubMed  Google Scholar 

  5. Prensner JR, Rubin MA, Wei JT et al (2012) Beyond PSA: the next generation of prostate cancer biomarkers. Sci Transl Med 4(127):127. https://doi.org/10.1126/scitranslmed.3003180

    Article  CAS  Google Scholar 

  6. Matsumoto T, Hatakeyama S, Yoneyama T et al (2019) Serum N-glycan profiling is a potential biomarker for castration-resistant prostate cancer. Sci Rep 9(1):16761. https://doi.org/10.1038/s41598-019-53384-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Casanova-Salas I, Athie A, Boutros PC et al (2021) Quantitative and qualitative analysis of blood-based liquid biopsies to inform clinical decision-making in prostate cancer. Eur Urol. https://doi.org/10.1016/j.eururo.2020.12.037

    Article  PubMed  Google Scholar 

  8. Fujita K, Nonomura N (2018) Urinary biomarkers of prostate cancer. Int J Urol 25(9):770–779. https://doi.org/10.1111/iju.13734

    Article  CAS  PubMed  Google Scholar 

  9. Ritch E, Wyatt AW (2018) Predicting therapy response and resistance in metastatic prostate cancer with circulating tumor DNA. Urol Oncol 36(8):380–384. https://doi.org/10.1016/j.urolonc.2017.11.017

    Article  CAS  PubMed  Google Scholar 

  10. Choudhury AD, Werner L, Francini E et al (2018) Tumor fraction in cell-free DNA as a biomarker in prostate cancer. JCI Insight. https://doi.org/10.1172/jci.insight.122109

    Article  PubMed  PubMed Central  Google Scholar 

  11. Beltran H, Romanel A, Conteduca V et al (2020) Circulating tumor DNA profile recognizes transformation to castration-resistant neuroendocrine prostate cancer. J Clin Invest 130(4):1653–1668. https://doi.org/10.1172/JCI131041

    Article  PubMed  PubMed Central  Google Scholar 

  12. Souza AG, Bastos VAF, Fujimura PT et al (2020) Cell-free DNA promotes malignant transformation in non-tumor cells. Sci Rep 10(1):21674. https://doi.org/10.1038/s41598-020-78766-5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Kohli M, Li J, Du M et al (2018) Prognostic association of plasma cell-free DNA-based androgen receptor amplification and circulating tumor cells in pre-chemotherapy metastatic castration-resistant prostate cancer patients. Prostate Cancer Prostatic Dis 21(3):411–418. https://doi.org/10.1038/s41391-018-0043-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sumiyoshi T, Mizuno K, Yamasaki T et al (2019) Clinical utility of androgen receptor gene aberrations in circulating cell-free DNA as a biomarker for treatment of castration-resistant prostate cancer. Sci Rep 9(1):4030. https://doi.org/10.1038/s41598-019-40719-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Conteduca V, Castro E, Wetterskog D et al (2019) Plasma AR status and cabazitaxel in heavily treated metastatic castration-resistant prostate cancer. Eur J Cancer 116:158–168. https://doi.org/10.1016/j.ejca.2019.05.007

    Article  CAS  PubMed  Google Scholar 

  16. Akamatsu S, Inoue T, Ogawa O et al (2018) Clinical and molecular features of treatment-related neuroendocrine prostate cancer. Int J Urol 25(4):345–351. https://doi.org/10.1111/iju.13526

    Article  CAS  PubMed  Google Scholar 

  17. Aggarwal R, Huang J, Alumkal JJ et al (2018) Clinical and genomic characterization of treatment-emergent small-cell neuroendocrine prostate cancer: a multi-institutional prospective study. J Clin Oncol 36(24):2492–2503. https://doi.org/10.1200/JCO.2017.77.6880

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Hamano I, Hatakeyama S, Hamaya T et al (2020) Utility of plasma cell-free DNA in metastatic castration-resistant prostate cancer. IJU Case Rep 3(4):141–144. https://doi.org/10.1002/iju5.12172

    Article  PubMed  PubMed Central  Google Scholar 

  19. Schwarzenbach H, Alix-Panabières C, Müller I et al (2009) Cell-free tumor DNA in blood plasma as a marker for circulating tumor cells in prostate cancer. Clin Cancer Res 15(3):1032–1038. https://doi.org/10.1158/1078-0432.Ccr-08-1910

    Article  CAS  PubMed  Google Scholar 

  20. Scher HI, Halabi S, Tannock I et al (2008) Design and end points of clinical trials for patients with progressive prostate cancer and castrate levels of testosterone: recommendations of the prostate cancer clinical trials working group. J Clin Oncol 26(7):1148–1159. https://doi.org/10.1200/jco.2007.12.4487

    Article  PubMed  Google Scholar 

  21. Hatakeyama S, Narita S, Takahashi M et al (2020) Association of tumor burden with the eligibility of upfront intensification therapy in metastatic castration-sensitive prostate cancer: a multicenter retrospective study. Int J Urol 27(7):610–617. https://doi.org/10.1111/iju.14258

    Article  CAS  PubMed  Google Scholar 

  22. Xu Y, Song Y, Chang J et al (2018) High levels of circulating cell-free DNA are a biomarker of active SLE. Eur J Clin Invest 48(11):e13015. https://doi.org/10.1111/eci.13015

    Article  CAS  PubMed  Google Scholar 

  23. Brodbeck K, Kern S, Schick S et al (2019) Quantitative analysis of individual cell-free DNA concentration before and after penetrating trauma. Int J Legal Med 133(2):385–393. https://doi.org/10.1007/s00414-018-1945-y

    Article  PubMed  Google Scholar 

  24. Ranucci R (2019) Cell-free DNA: applications in different diseases. Methods Mol Biol 1909:3–12. https://doi.org/10.1007/978-1-4939-8973-7_1

    Article  CAS  PubMed  Google Scholar 

  25. Buelens S, Claeys T, Dhondt B et al (2018) Prognostic and therapeutic implications of circulating androgen receptor gene copy number in prostate cancer patients using droplet digital polymerase chain reaction. Clin Genitourin Cancer 16(3):197-205.e195. https://doi.org/10.1016/j.clgc.2017.12.008

    Article  PubMed  Google Scholar 

  26. Conteduca V, Wetterskog D, Sharabiani MTA et al (2017) 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 28(7):1508–1516. https://doi.org/10.1093/annonc/mdx155

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Ku SY, Gleave ME, Beltran H (2019) Towards precision oncology in advanced prostate cancer. Nat Rev Urol 16(11):645–654. https://doi.org/10.1038/s41585-019-0237-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Warner EW, Herberts C, Fu S et al (2021) BRCA2, ATM, and CDK12 defects differentially shape prostate tumor driver genomics and clinical aggression. Clin Cancer Res. https://doi.org/10.1158/1078-0432.Ccr-20-3708

    Article  PubMed  Google Scholar 

  29. Vandekerkhove G, Struss WJ, Annala M et al (2019) Circulating tumor DNA abundance and potential utility in de novo metastatic prostate cancer. Eur Urol 75(4):667–675. https://doi.org/10.1016/j.eururo.2018.12.042

    Article  CAS  PubMed  Google Scholar 

  30. Graf RP, Hullings M, Barnett ES et al (2020) Clinical utility of the nuclear-localized AR-V7 biomarker in circulating tumor cells in improving physician treatment choice in castration-resistant prostate cancer. Eur Urol 77(2):170–177. https://doi.org/10.1016/j.eururo.2019.08.020

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Yuki Fujita, Yukie Nishizawa, and Satomi Sakamoto for their invaluable support. The authors would also like to thank Enago (www.enago.jp) for the English language review.

Funding

This work was supported by Japan Society for the Promotion of Science (JSPS), Grant Numbers: 18K09157 (T.Y.), 19H05556 (C.O.), 20K09517 (S.H.), 20K18106 (Y.K.), and 20K18107 (I.H.).

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Authors and Affiliations

Authors

Contributions

Project development: SH, TY, CO. Manuscript writing: YK, SH, TY. Data analysis: SH, TY. Data collection: MSY, IH, SK, TO, HY, TY, YH. Critical review: CO.

Corresponding author

Correspondence to Shingo Hatakeyama.

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Conflict of interest

None of the authors have any conflicts of interest to declare.

Ethics statement

The present retrospective, multicenter study was performed in accordance with the ethical standards of the Declaration of Helsinki, and it was approved by the ethics review board of the Hirosaki University School of Medicine (authorization number: 2018–062) and all hospitals. Pursuant to the provisions of the ethics committee and the ethics guidelines in Japan, written informed consent is not required for public disclosure of study information in the case of a retrospective and/or observational study using materials, such as existing documents (opt-out approach).

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Supplementary Information

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345_2021_3649_MOESM1_ESM.pdf

Supplementary file1 The total cfDNA and AR-amp were compared between the pre-docetaxel and post docetaxel status (A). The median time from CRPC diagnosis to cfDNA evaluation was 12 months. The relationship between the time from CRPC diagnosis and cfDNA parameters was evaluated (B). There were no significant differences in the total cfDNA level and AR-amp between <12 and ≥12 months. The optimal cutoff value of total cfDNA (C) and AR-amp (D) for any cause of death were defined using a ROC curve and the AUC. (PDF 200 KB)

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Kubota, Y., Hatakeyama, S., Yoneyama, T. et al. Prognostic significance of total plasma cell-free DNA level and androgen receptor amplification in castration-resistant prostate cancer. World J Urol 39, 3265–3271 (2021). https://doi.org/10.1007/s00345-021-03649-x

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  • DOI: https://doi.org/10.1007/s00345-021-03649-x

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