Skip to main content
Log in

Clinical value of measurable residual disease testing for multiple myeloma and implementation in Japan

  • Progress in Hematology
  • Recent Advances in Biology and Treatment of Multiple Myeloma
  • Published:
International Journal of Hematology Aims and scope Submit manuscript

Abstract

The development of novel therapeutic agents has led to an increase in patients with multiple myeloma (MM) who achieve a complete response (CR). Consequently, a good correlation has been established between the CR rate and progression-free survival, and new methods are needed to stratify CR cases based on the measurable residual disease (MRD) and thus predict prognosis. Previously, multiparameter flow cytometry (MFC), which is rapid and widely available, has been used to assess MRD in patients with MM. Although the EuroFlow next-generation flow method was developed as a highly sensitive and standardized method of MRD detection, the procedure is costly within the current Japanese public medical insurance system. Recently, two Japanese clinical laboratory test companies, SRL and BML, respectively developed new and inexpensive 8- and 10-color single-tube MFC methods intended for the assessment of MRD under the current Japanese public medical insurance system. In this article, I have reviewed the most recent updates on MRD monitoring protocols in Japan and the clinical trials of the use of this parameter in patients with MM.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Gavriatopoulou M, Ntanasis-Stathopoulos I, Dimopoulos MA, Terpos E. Anti-BCMA antibodies in the future management of multiple myeloma. Expert Rev Anticancer Ther. 2019;19:319–26.

    Article  CAS  Google Scholar 

  2. Einsele H, Duell J, Zugmaier G, Attal M, Moreau P, Langer C, et al. The anti-BCMA Bispecific T-cell Engager (BiTE®) molecule AMG 420 induced MRD negative complete responses in R/R multiple myeloma in a FIH study. In: 17th International Myeloma Workshop, abstract #OAB-025, Boston, USA. 2019.

  3. Xu J, Chen LJ, Yang SS, Sun Y, Wu W, Liu YF, et al. Exploratory trial of a biepitopic CAR T-targeting B cell maturation antigen in relapsed/refractory multiple myeloma. Proc Natl Acad Sci USA. 2019;116:9543–51.

    Article  CAS  Google Scholar 

  4. Raje N, Berdeja J, Lin Y, Siegel D, Jagannath S, Madduri D, et al. Anti-BCMA CAR T-cell therapy bb2121 in relapsed or refractory multiple myeloma. N Engl J Med. 2019;380:1726–37.

    Article  Google Scholar 

  5. Moreau P, Sonneveld P, Boccadoro M, Cook G, Mateos MV, Nahi H, et al. CAR-T cell therapy for multiple myeloma: a consensus statement from The European Myeloma Network. Haematologica. 2019;104:2358–60.

    Article  Google Scholar 

  6. Landgren O, Iskander K. Modern multiple myeloma therapy: deep, sustained treatment response and good clinical outcomes. J Intern Med. 2017;281:365–82.

    Article  CAS  Google Scholar 

  7. Rawstron AC, Child JA, de Tute RM, Davies FE, Gregory WM, Bell SE, et al. Minimal residual disease assessed by multiparameter flow cytometry in multiple myeloma: impact on outcome in the Medical Research Council Myeloma IX Study. J Clin Oncol. 2013;31:2540–7.

    Article  Google Scholar 

  8. Puig N, Sarasquete ME, Balanzategui A, Martinez J, Paiva B, Garcia H, et al. Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry. Leukemia. 2014;28:391–7.

    Article  CAS  Google Scholar 

  9. Paiva B, Vidriales MB, Cervero J, Mateo G, Perez JJ, Montalban MA, et al. Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation. Blood. 2008;112:4017–23.

    Article  CAS  Google Scholar 

  10. Mateos MV, Oriol A, Martinez-Lopez J, Teruel AI, de la Guia AL, Lopez J, et al. GEM2005 trial update comparing VMP/VTP as induction in elderly multiple myeloma patients: do we still need alkylators? Blood. 2014;124:1887–933.

    Article  CAS  Google Scholar 

  11. Dal Bo S, Pezzi A, Amorin B, Valim V, Isabel Bittencourt R, Silla L. Detection of minimal residual disease by flow cytometry for patients with multiple myeloma submitted to autologous hematopoietic stem cell transplantation. ISRN Hematol. 2013;2013:847672.

    Google Scholar 

  12. Paiva B, Martinez-Lopez J, Vidriales MB, Mateos MV, Montalban MA, Fernandez-Redondo E, et al. Comparison of immunofixation, serum free light chain, and immunophenotyping for response evaluation and prognostication in multiple myeloma. J Clin Oncol. 2011;29:1627–33.

    Article  CAS  Google Scholar 

  13. Roussel M, Lauwers-Cances V, Robillard N, Hulin C, Leleu X, Benboubker L, et al. Front-line transplantation program With lenalidomide, bortezomib, and dexamethasone combination as induction and consolidation followed by lenalidomide maintenance in patients with multiple myeloma: a phase II study by the Intergroupe Francophone du Myelome. J Clin Oncol. 2014;32:2712–7.

    Article  CAS  Google Scholar 

  14. Fukumoto K, Fujisawa M, Suehara Y, Narita KT, Usui Y, Takeuchi M, et al. Prognostic impact of immunophenotypic complete response in patients with multiple myeloma achieving better than complete response. Leuk Lymphoma. 2016;57:1786–92.

    Article  CAS  Google Scholar 

  15. Ludwig H, Greil R, Masszi T, Spicka I, Shpilberg O, Hajek R, et al. Bortezomib, thalidomide and dexamethasone, with or without cyclophosphamide, for patients with previously untreated multiple myeloma: 5-year follow-up. Br J Haematol. 2015;171:344–54.

    Article  CAS  Google Scholar 

  16. Flores-Montero J, Sanoja-Flores L, Paiva B, Puig N, Garcia-Sanchez O, Bottcher S, et al. Next generation flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia. 2017;31:2094–103.

    Article  CAS  Google Scholar 

  17. Roshal M, Flores-Montero JA, Gao Q, Koeber M, Wardrope J, Durie BGM, et al. MRD detection in multiple myeloma: comparison between MSKCC 10-color single-tube and EuroFlow 8-color 2-tube methods. Blood Adv. 2017;1:728–32.

    Article  CAS  Google Scholar 

  18. Blum A, Haussmann K, Streitz M, Schlickeiser S, Tietze-Buerger C, Blau IW, et al. Standardized assay for assessment of minimal residual disease in blood, bone marrow and apheresis from patients with plasma cell myeloma. Sci Rep. 2019;9:2922.

    Article  Google Scholar 

  19. Rawstron AC, Gregory WM, de Tute RM, Davies FE, Bell SE, Drayson MT, et al. Minimal residual disease in myeloma by flow cytometry: independent prediction of survival benefit per log reduction. Blood. 2015;125:1932–5.

    Article  CAS  Google Scholar 

  20. Paiva B, van Dongen JJ, Orfao A. New criteria for response assessment: role of minimal residual disease in multiple myeloma. Blood. 2015;125:3059–68.

    Article  CAS  Google Scholar 

  21. Paiva B, Cedena MT, Puig N, Arana P, Vidriales MB, Cordon L, et al. Minimal residual disease monitoring and immune profiling in multiple myeloma in elderly patients. Blood. 2016;127:3165–74.

    Article  CAS  Google Scholar 

  22. Flanders A, Stetler-Stevenson M, Landgren O. Minimal residual disease testing in multiple myeloma by flow cytometry: major heterogeneity. Blood. 2013;122:1088–9.

    Article  CAS  Google Scholar 

  23. Paiva B, Puig N, Cedena MT, Cordon L, Vidriales MB, Burgos L, et al. Impact of Next-generation flow (NGF) minimal residual disease (MRD) monitoring in multiple myeloma (MM): results from the Pethema/GEM2012 Trial. Blood (American Society of Hematology Annual Meeting Abstracts #905). 2017;130:905.

    Google Scholar 

  24. Takamatsu H, Yoroidaka T, Fujisawa M, Kobori K, Hanawa M, Yamashita T, et al. Comparison of minimal residual disease detection in multiple myeloma by SRL 8-color single-tube and EuroFlow 8-color 2-tube multiparameter flow cytometry. Int J Hematol. 2019;109:377–81.

    Article  CAS  Google Scholar 

  25. Martinez-Lopez J, Lahuerta JJ, Pepin F, Gonzalez M, Barrio S, Ayala R, et al. Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma. Blood. 2014;123:3073–9.

    Article  CAS  Google Scholar 

  26. Faham M, Zheng J, Moorhead M, Carlton VE, Stow P, Coustan-Smith E, et al. Deep-sequencing approach for minimal residual disease detection in acute lymphoblastic leukemia. Blood. 2012;120:5173–80.

    Article  CAS  Google Scholar 

  27. Schinke C, Deshpande S, Mitchell A, Malek F, Purvi P, Sharmilan T, et al. Impact of minimal residual disease in high and standard risk multiple myeloma. Blood (ASH Annual Meeting Abstract #2979). 2015;126.

  28. Korde N, Roschewski M, Zingone A, Kwok M, Manasanch EE, Bhutani M, et al. Treatment with carfilzomib-lenalidomide-dexamethasone with lenalidomide extension in patients with smoldering or newly diagnosed multiple myeloma. JAMA Oncol. 2015;1:746–54.

    Article  Google Scholar 

  29. Takamatsu H, Takezako N, Zheng J, Moorhead M, Carlton VEH, Kong KA, et al. Prognostic value of sequencing-based minimal residual disease detection in patients with multiple myeloma who underwent autologous stem-cell transplantation. Ann Oncol. 2017;28:2503–10.

    Article  CAS  Google Scholar 

  30. Martinez-Lopez J, Sanchez-Vega B, Barrio S, Cuenca I, Ruiz-Heredia Y, Alonso R, et al. Analytical and clinical validation of a novel in-house deep-sequencing method for minimal residual disease monitoring in a phase II trial for multiple myeloma. Leukemia. 2017;31:1446–9.

    Article  CAS  Google Scholar 

  31. Perrot A, Lauwers-Cances V, Corre J, Robillard N, Hulin C, Chretien ML, et al. Minimal residual disease negativity using deep sequencing is a major prognostic factor in multiple myeloma. Blood. 2018;132:2456–64.

    Article  CAS  Google Scholar 

  32. Mateos MV, Dimopoulos MA, Cavo M, Suzuki K, Jakubowiak A, Knop S, et al. Daratumumab plus bortezomib, melphalan, and prednisone for untreated myeloma. N Engl J Med. 2018;378:518–28.

    Article  CAS  Google Scholar 

  33. Facon T, Kumar S, Plesner T, Orlowski RZ, Moreau P, Bahlis N, et al. Daratumumab plus lenalidomide and dexamethasone for untreated myeloma. N Engl J Med. 2019;380:2104–15.

    Article  CAS  Google Scholar 

  34. Medina A, Jiménez C, Puig N, Flores-Montero J, Paiva B, Sarasquete ME, et al. Prognostic implications of MRD assessment in multiple myeloma patients: comparison of next-generation sequencing and next-generation flow. In: 17th International Myeloma Workshop, abstract #OAB-070, Boston, USA. 2019.

  35. Stewart AK, Vescio R, Schiller G, Ballester O, Noga S, Rugo H, et al. Purging of autologous peripheral-blood stem cells using CD34 selection does not improve overall or progression-free survival after high-dose chemotherapy for multiple myeloma: results of a multicenter randomized controlled trial. J Clin Oncol. 2001;19:3771–9.

    Article  CAS  Google Scholar 

  36. Takamatsu H, Takezako N, Wee RK, Yoroitaka T, Yamashita T, Murata R, et al. Comparison of MRD detection in autografts of patients with multiple myeloma between 8-color MFC (EuroFlow-NGF) and NGS. Blood (American Society of Hematology Annual Meeting Abstracts #258). 2018;132:258.

    Google Scholar 

  37. Tageja N, Korde N, Kazandjian D, Panch S, Manasanch E, Bhutani M, et al. Combination therapy with carfilzomib, lenalidomide and dexamethasone (KRd) results in an unprecedented purity of the stem cell graft in newly diagnosed patients with myeloma. Bone Marrow Transplant. 2018;53:1445–9.

    Article  CAS  Google Scholar 

  38. Davies FE, Rawstron AC, Owen RG, Morgan GJ. Minimal residual disease monitoring in multiple myeloma. Best Pract Res Clin Haematol. 2002;15:197–222.

    Article  CAS  Google Scholar 

  39. Rodriguez-Otero P, Mateos MV, Martinez-Lopez J, Hernandez MT, Ocio EM, Rosinol L, et al. Predicting long-term disease control in transplant-ineligible patients with multiple myeloma: impact of an MGUS-like signature. Blood Cancer J. 2019;9:36.

    Article  Google Scholar 

  40. Paiva B, Vidriales MB, Rosinol L, Martinez-Lopez J, Mateos MV, Ocio EM, et al. A multiparameter flow cytometry immunophenotypic algorithm for the identification of newly diagnosed symptomatic myeloma with an MGUS-like signature and long-term disease control. Leukemia. 2013;27:2056–61.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

I would like to acknowledge Dr Juan Flores-Montero, Dr Luzalba Sanoja-Flores and Prof Alberto Orfao of Universidad de Salamanca, Dr Brian Durie of International Myeloma Foundation, and Prof Hirokazu Murakami, Dr Kenshi Suzuki and Dr Kazuyuki Shimizu of Japanese Society of Myeloma for the EuroFlow-NGF assessments, and Mr Kazuya Kobori and Ms Masako Hanawa of SRL, Inc. for SRL-Flow assessments.

Author information

Authors and Affiliations

Authors

Contributions

HT conceived this project and wrote the manuscript.

Corresponding author

Correspondence to Hiroyuki Takamatsu.

Ethics declarations

Conflict of interest

Hiroyuki Takamatsu received honoraria from Janssen Pharmaceutical KK, Celgene, Takeda, Ono Pharmaceutical, Beckton Dickinson and Company, Bristol-Myers Squibb, Daiichi Sankyo Company, Fujimoto Pharmaceutical, and Sanofi; received research funds from Celgene, Ono Pharmaceutical, Bristol-Myers Squibb, CSL Behring, and SRL; and consulted for Janssen, Celgene, Abbvie, Sanofi, and SRL.

Additional information

Publisher's Note

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

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Takamatsu, H. Clinical value of measurable residual disease testing for multiple myeloma and implementation in Japan. Int J Hematol 111, 519–529 (2020). https://doi.org/10.1007/s12185-020-02828-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12185-020-02828-7

Keywords

Navigation