Skip to main content

Advertisement

Log in

Plasma cell-free DNA is a prognostic biomarker for survival in patients with aggressive non-Hodgkin lymphomas

  • Original Article
  • Published:
Annals of Hematology Aims and scope Submit manuscript

Abstract

Cell-free DNA (cfDNA) can be released from tumor cells during proliferation and apoptosis; thus, a fraction of the cfDNA in patients with cancer is tumor-derived. However, the prognostic value of cfDNA in aggressive non-Hodgkin lymphoma (NHL) has not been determined. Between March 2017 and April 2019, plasma cfDNA was obtained from 158 patients with aggressive NHL who were registered in a prospective Samsung Medical Center lymphoma cohort (diffuse large B cell lymphoma (DLBCL), n = 51; T cell lymphoma (TCL), n = 51; NK/T cell lymphoma (NKTCL), n = 56). The concentration of cfDNA was estimated in longitudinal samples collected from patients with NHL before and during various chemotherapy regimens. In pretreatment samples, the median cfDNA concentration of all patients with aggressive lymphoma was 13.7 ng/dl (range 1.7–1792), which was significantly higher than that of healthy volunteers (median 7.4 ng, range 3.7–14.4, p < 0.001), and advanced stages showed a higher cfDNA level than earlier stages. Multivariate analysis identified high cfDNA as an independent factor for event-free survival that predicted poor prognosis in DLBCL (hazard ratio [HR] = 5.33, 95% confidence interval [CI] = 1.72–16.52, p = 0.003) and TCL (HR = 2.82, 95% CI = 1.10–7.20, p = 0.030). NKTCL patients with a high level of cfDNA had worse overall survival (HR = 4.71, 95% CI = 1.09–20.35, p = 0.037) compared with those with a low level of cfDNA. In this study, our results suggest the usefulness of pretreatment cfDNA as a prognostic marker for patients with DLBCL, TCL, and NKTCL.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Volik S, Alcaide M, Morin RD, Collins C (2016) Cell-free DNA (cfDNA): clinical significance and utility in cancer shaped by emerging technologies. Mol Cancer Res 14(10):898–908. https://doi.org/10.1158/1541-7786.Mcr-16-0044

    Article  PubMed  CAS  Google Scholar 

  2. Viller Tuxen I, Barlebo Ahlborn L, Mau-Soerensen M, Staal Rohrberg K, Cilius Nielsen F, Oestrup O, Westmose Yde C, Richter Vogelius I, Lassen U (2019) Plasma total cell-free DNA is a prognostic biomarker of overall survival in metastatic solid tumour patients. Br J Cancer 121:125–130. https://doi.org/10.1038/s41416-019-0491-9

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  3. Corcoran RB, Chabner BA (2018) Application of cell-free DNA analysis to cancer treatment. N Engl J Med 379(18):1754–1765. https://doi.org/10.1056/NEJMra1706174

    Article  PubMed  CAS  Google Scholar 

  4. Leon SA, Shapiro B, Sklaroff DM, Yaros MJ (1977) Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res 37(3):646–650

    PubMed  CAS  Google Scholar 

  5. Gal S, Fidler C, Lo YM, Taylor M, Han C, Moore J, Harris AL, Wainscoat JS (2004) Quantitation of circulating DNA in the serum of breast cancer patients by real-time PCR. Br J Cancer 90(6):1211–1215. https://doi.org/10.1038/sj.bjc.6601609

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Hao TB, Shi W, Shen XJ, Qi J, Wu XH, Wu Y, Tang YY, Ju SQ (2014) Circulating cell-free DNA in serum as a biomarker for diagnosis and prognostic prediction of colorectal cancer. Br J Cancer 111(8):1482–1489. https://doi.org/10.1038/bjc.2014.470

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Sozzi G, Conte D, Leon M, Ciricione R, Roz L, Ratcliffe C, Roz E, Cirenei N, Bellomi M, Pelosi G, Pierotti MA, Pastorino U (2003) Quantification of free circulating DNA as a diagnostic marker in lung cancer. J Clin Oncol 21(21):3902–3908. https://doi.org/10.1200/jco.2003.02.006

    Article  PubMed  CAS  Google Scholar 

  8. Perkins G, Yap TA, Pope L, Cassidy AM, Dukes JP, Riisnaes R, Massard C, Cassier PA, Miranda S, Clark J, Denholm KA, Thway K, Gonzalez De Castro D, Attard G, Molife LR, Kaye SB, Banerji U, de Bono JS (2012) Multi-purpose utility of circulating plasma DNA testing in patients with advanced cancers. PLoS One 7(11):e47020. https://doi.org/10.1371/journal.pone.0047020

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Jones K, Nourse JP, Keane C, Crooks P, Gottlieb D, Ritchie DS, Gill D, Gandhi MK (2012) Tumor-specific but not nonspecific cell-free circulating DNA can be used to monitor disease response in lymphoma. Am J Hematol 87(3):258–265. https://doi.org/10.1002/ajh.22252

    Article  PubMed  CAS  Google Scholar 

  10. Rossi D, Spina V, Bruscaggin A, Gaidano G (2019) Liquid biopsy in lymphoma. Haematologica 104(4):648–652. https://doi.org/10.3324/haematol.2018.206177

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Haber DA, Velculescu VE (2014) Blood-based analyses of cancer: circulating tumor cells and circulating tumor DNA. Cancer Discov 4(6):650–661. https://doi.org/10.1158/2159-8290.Cd-13-1014

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Kim J-Y, Park D, Son D-S, Nam SJ, Kim SW, Jung HH, Kim YJ, Park G, Park W-Y, Lee JE, Park YH (2017) Circulating tumor DNA shows variable clonal response of breast cancer during neoadjuvant chemotherapy. Oncotarget 8(49):86423–86434. https://doi.org/10.18632/oncotarget.21198

    Article  PubMed  PubMed Central  Google Scholar 

  13. Park G, Park JK, Son D-S, Shin S-H, Kim YJ, Jeon H-J, Lee J, Park W-Y, Lee KH, Park D (2018) Utility of targeted deep sequencing for detecting circulating tumor DNA in pancreatic cancer patients. Sci Rep 8(1):11631. https://doi.org/10.1038/s41598-018-30100-w

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Herrera AF, Armand P (2017) Minimal residual disease assessment in lymphoma: methods and applications. J Clin Oncol 35(34):3877–3887. https://doi.org/10.1200/jco.2017.74.5281

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Cheng J, Holland-Letz T, Wallwiener M, Surowy H, Cuk K, Schott S, Trumpp A, Pantel K, Sohn C, Schneeweiss A, Burwinkel B (2018) Circulating free DNA integrity and concentration as independent prognostic markers in metastatic breast cancer. Breast Cancer Res Treat 169(1):69–82. https://doi.org/10.1007/s10549-018-4666-5

    Article  PubMed  CAS  Google Scholar 

  16. Valpione S, Gremel G, Mundra P, Middlehurst P, Galvani E, Girotti MR, Lee RJ, Garner G, Dhomen N, Lorigan PC, Marais R (2018) Plasma total cell-free DNA (cfDNA) is a surrogate biomarker for tumour burden and a prognostic biomarker for survival in metastatic melanoma patients. Eur J Cancer (Oxford, England : 1990) 88:1–9. https://doi.org/10.1016/j.ejca.2017.10.029

    Article  CAS  Google Scholar 

  17. Kim SJ, Yoon DH, Jaccard A, Chng WJ, Lim ST, Hong H, Park Y, Chang KM, Maeda Y, Ishida F, Shin DY, Kim JS, Jeong SH, Yang DH, Jo JC, Lee GW, Choi CW, Lee WS, Chen TY, Kim K, Jung SH, Murayama T, Oki Y, Advani R, d'Amore F, Schmitz N, Suh C, Suzuki R, Kwong YL, Lin TY, Kim WS (2016) A prognostic index for natural killer cell lymphoma after non-anthracycline-based treatment: a multicentre, retrospective analysis. Lancet Oncol 17(3):389–400. https://doi.org/10.1016/s1470-2045(15)00533-1

    Article  PubMed  CAS  Google Scholar 

  18. Aucamp J, Bronkhorst AJ, Badenhorst CPS, Pretorius PJ (2018) The diverse origins of circulating cell-free DNA in the human body: a critical re-evaluation of the literature. Biol Rev Camb Philos Soc 93(3):1649–1683. https://doi.org/10.1111/brv.12413

    Article  PubMed  Google Scholar 

  19. Li M, Jia Y, Xu J, Cheng X, Xu C (2017) Assessment of the circulating cell-free DNA marker association with diagnosis and prognostic prediction in patients with lymphoma: a single-center experience. Ann Hematol 96(8):1343–1351. https://doi.org/10.1007/s00277-017-3043-5

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Hohaus S, Giachelia M, Massini G, Mansueto G, Vannata B, Bozzoli V, Criscuolo M, D'Alo F, Martini M, Larocca LM, Voso MT, Leone G (2009) Cell-free circulating DNA in Hodgkin’s and non-Hodgkin’s lymphomas. Ann Oncol 20(8):1408–1413. https://doi.org/10.1093/annonc/mdp006

    Article  PubMed  CAS  Google Scholar 

  21. Troppan KT, Schlick K, Deutsch A, Melchardt T, Egle A, Stojakovic T, Beham-Schmid C, Weiss L, Neureiter D, Wenzl K, Greil R, Neumeister P, Pichler M (2014) C-reactive protein level is a prognostic indicator for survival and improves the predictive ability of the R-IPI score in diffuse large B-cell lymphoma patients. Br J Cancer 111:55–60. https://doi.org/10.1038/bjc.2014.277

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Ochi Y, Koba Y, Shimomura Y, Ono Y, Hiramoto N, Yoshioka S, Tabata S, Yonetani N, Matsushita A, Hashimoto H, Imai Y, Ishikawa T (2015) The significance of serum albumin level and platelet count in patients with diffuse large b-cell lymphoma in the context of an enhanced International Prognostic Index (NCCN-IPI). Blood 126(23):1463–1463

    Article  Google Scholar 

  23. Okada K, Ochi S, Nagayama T, Nabe S, Sakai K, Muranushi H, Okamoto Y, Sugiura H, Sato A, Sato T, Maeda T, Onishi T, Ueda Y (2014) Absolute lymphocyte count as an independent prognostic factor of IPI and NCCN-IPI in DLBCL patients. Blood 124(21):1636–1636

    Article  Google Scholar 

  24. Oki Y, Yamamoto K, Kato H, Kuwatsuka Y, Taji H, Kagami Y, Morishima Y (2008) Low absolute lymphocyte count is a poor prognostic marker in patients with diffuse large B-cell lymphoma and suggests patients' survival benefit from rituximab. Eur J Haematol 81(6):448–453. https://doi.org/10.1111/j.1600-0609.2008.01129.x

    Article  PubMed  Google Scholar 

  25. Kim DH, Baek JH, Chae YS, Kim YK, Kim HJ, Park YH, Song HS, Chung JS, Hyun MS, Sohn SK (2007) Absolute lymphocyte counts predicts response to chemotherapy and survival in diffuse large B-cell lymphoma. Leukemia 21:2227–2230. https://doi.org/10.1038/sj.leu.2404780 https://www.nature.com/articles/2404780#supplementary-information

    Article  PubMed  CAS  Google Scholar 

  26. Tadmor T, Bari A, Sacchi S, Marcheselli L, Liardo EV, Avivi I, Benyamini N, Attias D, Pozzi S, Cox MC, Baldini L, Brugiatelli M, Federico M, Polliack A (2014) Monocyte count at diagnosis is a prognostic parameter in diffuse large B-cell lymphoma: results from a large multicenter study involving 1191 patients in the pre- and post-rituximab era. Haematologica 99(1):125–130. https://doi.org/10.3324/haematol.2013.088161

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Markovic O, Popovic L, Marisavljevic D, Jovanovic D, Filipovic B, Stanisavljevic D, Matovina-Brko G, Hajder J, Matkovic T, Zivkovic R, Stanisavljevic N, Todorovic M, Petrovic D, Mihaljevic B (2014) Comparison of prognostic impact of absolute lymphocyte count, absolute monocyte count, absolute lymphocyte count/absolute monocyte count prognostic score and ratio in patients with diffuse large B cell lymphoma. Eur J Intern Med 25(3):296–302. https://doi.org/10.1016/j.ejim.2014.01.019

    Article  PubMed  Google Scholar 

  28. Zhou SJ, Ma YY, Zhang Y, Luo S, Tang LY, Chen Y, Sun L, Yu K (2017) Peripheral blood lymphocyte/monocyte ratio following completion of first-line therapy predicts early relapse in patients with diffuse large B cell lymphoma. Ann Hematol 96(2):237–243. https://doi.org/10.1007/s00277-016-2865-x

    Article  PubMed  CAS  Google Scholar 

  29. Siddiqui M, Ristow K, Markovic SN, Witzig TE, Habermann TM, Colgan JP, Inwards DJ, White WL, Ansell SM, Micallef IN, Johnston PB, Call TG, Porrata LF (2006) Absolute lymphocyte count predicts overall survival in follicular lymphomas. Br J Haematol 134(6):596–601. https://doi.org/10.1111/j.1365-2141.2006.06232.x

    Article  PubMed  Google Scholar 

  30. Huang JJ, Jiang WQ, Lin TY, Huang Y, Xu RH, Huang HQ, Li ZM (2011) Absolute lymphocyte count is a novel prognostic indicator in extranodal natural killer/T-cell lymphoma, nasal type. Ann Oncol 22(1):149–155. https://doi.org/10.1093/annonc/mdq314

    Article  PubMed  CAS  Google Scholar 

  31. Porrata LF, Ristow K, Habermann TM, Witzig TE, Colgan JP, Inwards DJ, Ansell SM, Micallef IN, Johnston PB, Nowakowski GS, Thompson C, Markovic SN (2012) Peripheral blood lymphocyte/monocyte ratio at diagnosis and survival in nodular lymphocyte-predominant Hodgkin lymphoma. Br J Haematol 157(3):321–330. https://doi.org/10.1111/j.1365-2141.2012.09067.x

    Article  PubMed  CAS  Google Scholar 

  32. Kurtz DM, Scherer F, Jin MC, Soo J, Craig AFM, Esfahani MS, Chabon JJ, Stehr H, Liu CL, Tibshirani R, Maeda LS, Gupta NK, Khodadoust MS, Advani RH, Levy R, Newman AM, Duhrsen U, Huttmann A, Meignan M, Casasnovas RO, Westin JR, Roschewski M, Wilson WH, Gaidano G, Rossi D, Diehn M, Alizadeh AA (2018) Circulating tumor DNA measurements as early outcome predictors in diffuse large B-cell lymphoma. J Clin Oncol 36(28):2845–2853. https://doi.org/10.1200/jco.2018.78.5246

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Funding

This study was supported by the National Research Foundation of Korea (NRF) Grants funded by the Korean Government (MSIT) (2017M3A9G5060264) and NRF Grants funded by the Korean Government (ME) (2017R1D1A1B03028759).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Donghyun Park or Won Seog Kim.

Ethics declarations

The Institutional Review Board at SMC approved this present study (SMC 2016-11-040), and all methods were carried out in accordance with the approved guidelines. All patients provided informed consent before inclusion in this study.

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplemental Figure 1

Distribution of cfDNA according to sex and age (PDF 47 kb)

Supplemental Figure 2

Distribution of cfDNA according to stage in patients with NKTCL and TCL (PDF 49 kb)

Supplemental Figure 3

Correlation of cfDNA and various clinical variables in patients with NHLs (PDF 158 kb)

Supplemental Figure 4

Correlation of cfDNA and various clinical variables in patients with DLBCL (PDF 79 kb)

Supplemental Figure 5

Correlation of cfDNA and various clinical variables in patients with TCL (PDF 86 kb)

Supplemental Figure 6

Correlation of cfDNA and various clinical variables in patients with NKTCL (PDF 75 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hur, J.Y., Kim, Y.J., Yoon, S.E. et al. Plasma cell-free DNA is a prognostic biomarker for survival in patients with aggressive non-Hodgkin lymphomas. Ann Hematol 99, 1293–1302 (2020). https://doi.org/10.1007/s00277-020-04008-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00277-020-04008-3

Keywords

Navigation