Cancer Res Treat.  2023 Jul;55(3):969-977. 10.4143/crt.2022.1557.

Early Plasma Circulating Tumor DNA as a Potential Biomarker of Disease Recurrence in Non-metastatic Prostate Cancer

Affiliations
  • 1Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Abstract

Purpose
In non-metastatic prostate cancer (nmPCa) setting, it is important to early identify the patients at risk of biochemical recurrence (BCR) for immediate postoperative intervention. Our study aimed to evaluate the potential clinical utility of circulating tumor DNA (ctDNA) for predicting disease recurrence.
Materials and Methods
This real-world observational study evaluated 161 cases of nmPCa undergoing next-generation sequencing at our institution. A total of 139 ctDNA samples and 31 biopsied tumor tissue underwent genomic profiling. The study endpoint was BCR after radical prostatectomy. Relationships between the ctDNA status and the biochemical progression-free survival (bPFS) were analyzed by log-rank test and multivariate Cox regression.
Results
Of 161 enrolled patients, 19 (11.8%) harbored deleterious alterations in NCOR2, followed by BRCA2 (3.7%), ATR (2.5%), and CDK12 (2.5%). Of available pre-operative blood samples (n=139), ctDNA was detectable in 91 (65.5%). Until last follow-up, 56 of 68 patients (85.3%) with detectable ctDNA had achieved BCR, whereas only eight of 39 patients (20.5%) with undetectable ctDNA had achieved BCR. Patients who had undetectable ctDNA experienced significantly longer bPFS compared with those who had detectable ctDNA (not available vs. 8.2 months; hazard ratio, 0.14; p < 0.01). Pre-operative ctDNA status was a significant prognostic factor of disease recurrence.
Conclusion
Pre-operative ctDNA detection could identify patients at high risk of recurrence and has the potential to inform immediate postoperative interventions, but these approaches remain to be validated in prospective studies. ctDNA studies can provide insights into accurate monitoring and precise treatment rather than simply following routine clinical care.

Keyword

Circulating tumor DNA; Prostatic neoplasms; Biomarkers

Figure

  • Fig. 1 The schema of the study. ctDNA, circulating tumor DNA; nmPCa, non-metastatic prostate cancer.

  • Fig. 2 The genomic profiles of the studied patients. (A) The genomic landscape of the studied patients. Each column represents alterations detected in individual sample. Upper track shows circulating tumor DNA (ctDNA) fractions. Frequencies of specific gene alterations are displayed on the right side. The color represents copy number variant, missense mutation, frame shift indel, nonsense mutation, splice and germline alteration. Cases with multiple variants in one gene are represented by split colors. (B) The somatic alteration count of ctDNA and matched tumor tissue samples in nine patients. (C) The comparison of the alteration frequencies between the patients with non-metastatic prostate cancer (PCa) and the patients with metastatic PCa. mCRPC, metastatic castration-resistant PCa; mCSPC, metastatic castration-sensitive PCa.

  • Fig. 3 Circulating tumor DNA (ctDNA) status and clinical outcomes. (A) The overview of the studied patients according to the time to biochemical recurrence (BCR) and ctDNA status. (B) Kaplan-Meier curves for time to BCR of the patients with detectable ctDNA and with undetectable ctDNA. (C) Kaplan-Meier curves for time to BCR of the patients with and without pathogenic alterations.

  • Fig. 4 The association between circulating tumor DNA (ctDNA) status and biochemical progression-free survival (bPFS). Kaplan-Meier curves for time to biochemical recurrence of the patients with detectable ctDNA and with undetectable ctDNA according to clinical T category (A, B) and clinical N category (C, D).


Reference

References

1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020; 70:7–30.
Article
2. Zhu Y, Mo M, Wei Y, Wu J, Pan J, Freedland SJ, et al. Epidemiology and genomics of prostate cancer in Asian men. Nat Rev Urol. 2021; 18:282–301.
Article
3. Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Niksic M, et al. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018; 391:1023–75.
4. Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, De Santis M, et al. EAU-ESTRO-SIOG guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol. 2017; 71:618–29.
Article
5. van der Toom EE, Axelrod HD, de la Rosette JJ, de Reijke TM, Pienta KJ, Valkenburg KC. Prostate-specific markers to identify rare prostate cancer cells in liquid biopsies. Nat Rev Urol. 2019; 16:7–22.
Article
6. Han M, Partin AW, Zahurak M, Piantadosi S, Epstein JI, Walsh PC. Biochemical (prostate specific antigen) recurrence probability following radical prostatectomy for clinically localized prostate cancer. J Urol. 2003; 169:517–23.
Article
7. Diehl F, Schmidt K, Choti MA, Romans K, Goodman S, Li M, et al. Circulating mutant DNA to assess tumor dynamics. Nat Med. 2008; 14:985–90.
Article
8. Vandekerkhove G, Struss WJ, Annala M, Kallio HM, Khalaf D, Warner EW, et al. Circulating tumor DNA abundance and potential utility in de novo metastatic prostate cancer. Eur Urol. 2019; 75:667–75.
Article
9. Bettegowda C, Sausen M, Leary RJ, Kinde I, Wang Y, Agrawal N, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014; 6:224ra24.
10. Lee B, Lipton L, Cohen J, Tie J, Javed AA, Li L, et al. Circulating tumor DNA as a potential marker of adjuvant chemotherapy benefit following surgery for localized pancreatic cancer. Ann Oncol. 2019; 30:1472–8.
Article
11. Magbanua MJM, Swigart LB, Wu HT, Hirst GL, Yau C, Wolf DM, et al. Circulating tumor DNA in neoadjuvant-treated breast cancer reflects response and survival. Ann Oncol. 2021; 32:229–39.
12. Sumanasuriya S, Seed G, Parr H, Christova R, Pope L, Bertan C, et al. Elucidating prostate cancer behaviour during treatment via low-pass whole-genome sequencing of circulating tumour DNA. Eur Urol. 2021; 80:243–53.
Article
13. Raja R, Kuziora M, Brohawn PZ, Higgs BW, Gupta A, Dennis PA, et al. Early reduction in ctDNA predicts survival in patients with lung and bladder cancer treated with durvalumab. Clin Cancer Res. 2018; 24:6212–22.
Article
14. Yang J, Gong Y, Lam VK, Shi Y, Guan Y, Zhang Y, et al. Deep sequencing of circulating tumor DNA detects molecular residual disease and predicts recurrence in gastric cancer. Cell Death Dis. 2020; 11:346.
Article
15. Tie J, Cohen JD, Wang Y, Li L, Christie M, Simons K, et al. Serial circulating tumour DNA analysis during multimodality treatment of locally advanced rectal cancer: a prospective biomarker study. Gut. 2019; 68:663–71.
Article
16. Tie J, Wang Y, Tomasetti C, Li L, Springer S, Kinde I, et al. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Sci Transl Med. 2016; 8:346ra92.
Article
17. Garcia-Murillas I, Schiavon G, Weigelt B, Ng C, Hrebien S, Cutts RJ, et al. Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer. Sci Transl Med. 2015; 7:302ra133.
Article
18. Dong B, Fan L, Yang B, Chen W, Li Y, Wu K, et al. Use of circulating tumor DNA for the clinical management of metastatic castration-resistant prostate cancer: a multicenter, real-world study. J Natl Compr Canc Netw. 2021; 19:905–14.
Article
19. Vandekerkhove G, Todenhofer T, Annala M, Struss WJ, Wong A, Beja K, et al. Circulating tumor DNA reveals clinically actionable somatic genome of metastatic bladder cancer. Clin Cancer Res. 2017; 23:6487–97.
Article
20. Fan L, Fei X, Zhu Y, Pan J, Sha J, Chi C, et al. Comparative analysis of genomic alterations across castration sensitive and castration resistant prostate cancer via circulating tumor DNA sequencing. J Urol. 2021; 205:461–9.
Article
21. Cancer Genome Atlas Research Network. The molecular taxonomy of primary prostate cancer. Cell. 2015; 163:1011–25.
22. Hennigan ST, Trostel SY, Terrigino NT, Voznesensky OS, Schaefer RJ, Whitlock NC, et al. Low abundance of circulating tumor DNA in localized prostate cancer. JCO Precis Oncol. 2019; 3:PO.1900176.
Article
23. Chen E, Cario CL, Leong L, Lopez K, Marquez CP, Li PS, et al. Cell-free DNA detection of tumor mutations in heterogeneous, localized prostate cancer via targeted, multiregion sequencing. JCO Precis Oncol. 2021; 5:PO20.00428.
Article
24. Li J, Xu C, Lee HJ, Ren S, Zi X, Zhang Z, et al. A genomic and epigenomic atlas of prostate cancer in Asian populations. Nature. 2020; 580:93–9.
25. Fraser M, Sabelnykova VY, Yamaguchi TN, Heisler LE, Livingstone J, Huang V, et al. Genomic hallmarks of localized, non-indolent prostate cancer. Nature. 2017; 541:359–64.
26. Jamaspishvili T, Berman DM, Ross AE, Scher HI, De Marzo AM, Squire JA, et al. Clinical implications of PTEN loss in prostate cancer. Nat Rev Urol. 2018; 15:222–34.
Article
27. Lau E, McCoy P, Reeves F, Chow K, Clarkson M, Kwan EM, et al. Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression. Genome Med. 2020; 12:72.
28. Chen K, Zhao H, Shi Y, Yang F, Wang LT, Kang G, et al. Perioperative dynamic changes in circulating tumor DNA in patients with lung cancer (DYNAMIC). Clin Cancer Res. 2019; 25:7058–67.
29. Tan L, Sandhu S, Lee RJ, Li J, Callahan J, Ftouni S, et al. Prediction and monitoring of relapse in stage III melanoma using circulating tumor DNA. Ann Oncol. 2019; 30:804–14.
Article
Full Text Links
  • CRT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr