Abstract
Multiple Myeloma (MM) therapy has evolved rapidly over the past decade. With current multidrug combinations and autologous transplant, rates of overall response exceed 90% and complete response (CR) more than 50% in some studies. Unfortunately, despite higher rates of CR, relapse rates remain high suggesting that persistent disease may not be measured by current techniques. Traditionally, response rates were defined by urine and serum protein electrophoresis, immunofixation and histopathological absence of clonal plasma cells in the bone marrow. Currently, there are several validated sensitive assays to evaluate for MRD (minimal residual disease); multiparameter flow cytometry (MFC) including nextgeneration flow cytometry (NGF), next-generation sequencing (NGS), and allele specific oligonucleotide quantitative polymerase chain reaction (ASO-qPCR). These methods have provided a means to quantitatively assess residual disease and accurately prognosticate PFS and OS in myeloma. In this chapter, we will discuss the current techniques for MRD detection as well as describe techniques that are emerging for improved characterization of drug resistant residual populations that could be adapted for MRD monitoring in the future. While improved therapies are able to eradicate the dominant clone, resistant sub-clones persist and remain undetectable even by MRD techniques. Characterization of these clones will help design therapies against drug-resistant clones and move us closer to a cure in MM.
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References
Barlogie B, Mitchell A, van Rhee F, Epstein J, Morgan GJ, Crowley J (2014) Curing myeloma at last: defining criteria and providing the evidence. Blood 124(20):3043–3051
Yaccoby S (2018) Two states of myeloma stem cells. Clin Lymphoma Myeloma Leuk 18(1):38–43
Matsui W, Huff CA, Wang Q, Malehorn MT, Barber J, Tanhehco Y et al (2004) Characterization of clonogenic multiple myeloma cells. Blood 103(6):2332–2336
Chen Z, Orlowski RZ, Wang M, Kwak L, McCarty N (2014) Osteoblastic niche supports the growth of quiescent multiple myeloma cells. Blood 123(14):2204–2208
Rawstron AC, Orfao A, Beksac M, Bezdickova L, Brooimans RA, Bumbea H et al (2008) Report of the European myeloma network on multiparametric flow cytometry in multiple myeloma and related disorders. Haematologica 93(3):431–438
Paiva B, Vidriales MB, Rosinol L, Martinez-Lopez J, Mateos MV, Ocio EM et al (2013) 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 27(10):2056–2061
Flores-Montero J, Sanoja-Flores L, Paiva B, Puig N, Garcia-Sanchez O, Bottcher S et al (2017) Next generation flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia 31(10):2094–2103
Muccio VE, Saraci E, Gilestro M, Gattei V, Zucchetto A, Astolfi M et al (2016) Multiple myeloma: new surface antigens for the characterization of plasma cells in the era of novel agents. Cytometry B Clin Cytom 90(1):81–90
Paiva B, Vidriales MB, Cervero J, Mateo G, Perez JJ, Montalban MA et al (2008) Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation. Blood 112(10):4017–4023
Rawstron AC, Child JA, de Tute RM, Davies FE, Gregory WM, Bell SE et al (2013) 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 31(20):2540–2547
de Tute RM, Rawstron AC, Gregory WM, Child JA, Davies FE, Bell SE et al (2016) Minimal residual disease following autologous stem cell transplant in myeloma: impact on outcome is independent of induction regimen. Haematologica 101(2):e69–e71
Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P et al (2016) International myeloma working group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol 17(8):e328–ee46
Munshi NC, Avet-Loiseau H, Rawstron AC, Owen RG, Child JA, Thakurta A et al (2017) Association of Minimal Residual Disease with Superior Survival Outcomes in patients with multiple myeloma: a meta-analysis. JAMA Oncol 3(1):28–35
Chakraborty R, Muchtar E, Kumar SK, Jevremovic D, Buadi FK, Dingli D et al (2017) Impact of post-transplant response and minimal residual disease on survival in myeloma with high-risk cytogenetics. Biol Blood Marrow Transplant J Am Soc Blood Marrow Transplant 23(4):598–605
Royston DJ, Gao Q, Nguyen N, Maslak P, Dogan A, Roshal M (2016) Single-tube 10-Fluorochrome analysis for efficient flow cytometric evaluation of minimal residual disease in plasma cell myeloma. Am J Clin Pathol 146(1):41–49
Roshal M, Flores-Montero JA, Gao Q, Koeber M, Wardrope J, Durie BGM et al (2017) MRD detection in multiple myeloma: comparison between MSKCC 10-color single-tube and EuroFlow 8-color 2-tube methods. Blood Adv 1(12):728–732
Frassanito MA, Rao L, Moschetta M, Ria R, Di Marzo L, De Luisi A et al (2014) Bone marrow fibroblasts parallel multiple myeloma progression in patients and mice: in vitro and in vivo studies. Leukemia 28(4):904–916
Cogbill CH, Spears MD, Vantuinen P, Harrington AM, Olteanu H, Kroft SH (2015) Morphologic and cytogenetic variables affect the flow cytometric recovery of plasma cell myeloma cells in bone marrow aspirates. Int J Lab Hematol 37(6):797–808
Joshi R, Horncastle D, Elderfield K, Lampert I, Rahemtulla A, Naresh KN (2008) Bone marrow trephine combined with immunohistochemistry is superior to bone marrow aspirate in follow-up of myeloma patients. J Clin Pathol 61(2):213–216
Biran N, Ely S, Chari A (2014) Controversies in the assessment of minimal residual disease in multiple myeloma: clinical significance of minimal residual disease negativity using highly sensitive techniques. Curr Hematol Malig Rep 9(4):368–378
Puig N, Sarasquete ME, Balanzategui A, Martinez J, Paiva B, Garcia H et al (2014) Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry. Leukemia 28(2):391–397
Bai Y, Wong KY, Fung TK, Chim CS (2016) High applicability of ASO-RQPCR for detection of minimal residual disease in multiple myeloma by entirely patient-specific primers/probes. J Hematol Oncol 9(1):107
Avet-Loiseau H, Corre J, Lauwers-Cances V, Chretien M-L, Robillard N, Leleu X et al (2015) Evaluation of Minimal Residual Disease (MRD) by Next Generation Sequencing (NGS) is highly predictive of progression free survival in the IFM/DFCI 2009 trial. Blood 126(23):191
Ladetto M, Bruggemann M, Monitillo L, Ferrero S, Pepin F, Drandi D et al (2014) Next-generation sequencing and real-time quantitative PCR for minimal residual disease detection in B-cell disorders. Leukemia 28(6):1299–1307
Rasche L, Chavan SS, Stephens OW, Patel PH, Tytarenko R, Ashby C et al (2017) Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing. Nat Commun 8(1):268
Moreau P, Attal M, Caillot D, Macro M, Karlin L, Garderet L et al (2017) Prospective evaluation of magnetic resonance imaging and [(18)F]Fluorodeoxyglucose positron emission tomography-computed tomography at diagnosis and before maintenance therapy in symptomatic patients with multiple myeloma included in the IFM/DFCI 2009 trial: results of the IMAJEM study. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 35(25):2911–2918
Zamagni E, Patriarca F, Nanni C, Zannetti B, Englaro E, Pezzi A et al (2011) Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation. Blood 118(23):5989–5995
Bartel TB, Haessler J, Brown TL, Shaughnessy JD Jr, van Rhee F, Anaissie E et al (2009) F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma. Blood 114(10):2068–2076
Usmani SZ, Mitchell A, Waheed S, Crowley J, Hoering A, Petty N et al (2013) Prognostic implications of serial 18-fluoro-deoxyglucose emission tomography in multiple myeloma treated with total therapy 3. Blood 121(10):1819–1823
Davies FE, Rosenthal A, Rasche L, Petty NM, JE MD, Ntambi JA et al (2018) Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma. Haematologica 103(6):1047–1053
Sachpekidis C, Hillengass J, Goldschmidt H, Mosebach J, Pan L, Schlemmer HP et al (2015) Comparison of (18)F-FDG PET/CT and PET/MRI in patients with multiple myeloma. Am J Nucl Med Mol Imaging 5(5):469–478
San MJ (2014) Multiple myeloma: a model for scientific and clinical progress. Hematology Am Soc Hematol Educ Program 2014(1):1–7
Paiva B, Corchete LA, Vidriales MB, Puig N, Maiso P, Rodriguez I et al (2016) Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance. Blood 127(15):1896–1906
Keats JJ, Chesi M, Egan JB, Garbitt VM, Palmer SE, Braggio E et al (2012) Clonal competition with alternating dominance in multiple myeloma. Blood 120(5):1067–1076
Ghosh A, Carreau N, Moscatello A, Rahman A, Qi J, Kim-Schulze S et al (2015) Flow cytometry based detection of MRD in bone marrow of patients with multiple myeloma: a comparison between fluorescent-based cytometry versus cytof. Blood 126(23):4195
Mithraprabhu S, Khong T, Ramachandran M, Chow A, Klarica D, Mai L et al (2017) Circulating tumour DNA analysis demonstrates spatial mutational heterogeneity that coincides with disease relapse in myeloma. Leukemia 31(8):1695–1705
Mills JR, Barnidge DR, Dispenzieri A, Murray DL (2017) High sensitivity blood-based M-protein detection in sCR patients with multiple myeloma. Blood cancer journal. 7(8):e590
Martinez-Lopez J, Lahuerta JJ, Pepin F, Gonzalez M, Barrio S, Ayala R et al (2014) Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma. Blood 123(20):3073–3079
Silvennoinen R, Lundan T, Kairisto V, Pelliniemi TT, Putkonen M, Anttila P et al (2014) Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma. Blood Cancer J 4:e250
Lohr JG, Kim S, Gould J, Knoechel B, Drier Y, Cotton MJ et al (2016) Genetic interrogation of circulating multiple myeloma cells at single-cell resolution. Science Translat Med 8(363):363ra147
Ortega MA, Poirion O, Zhu X, Huang S, Wolfgruber TK, Sebra R et al (2017) Using single-cell multiple omics approaches to resolve tumor heterogeneity. Clin Transl Med 6(1):46
Palumbo A, Chanan-Khan A, Weisel K, Nooka AK, Masszi T, Beksac M et al (2016) Daratumumab, Bortezomib, and dexamethasone for multiple myeloma. N Engl J Med 375(8):754–766
Dimopoulos MA, Oriol A, Nahi H, San-Miguel J, Bahlis NJ, Usmani SZ et al (2016) Daratumumab, Lenalidomide, and dexamethasone for multiple myeloma. N Engl J Med 375(14):1319–1331
Avet-Loiseau H, Casneuf T, Chiu C, Laubach JP, Lee J-J, Moreau P et al (2016) Evaluation of minimal residual disease (MRD) in relapsed/refractory multiple myeloma (RRMM) patients treated with Daratumumab in combination with Lenalidomide plus dexamethasone or Bortezomib plus dexamethasone. Blood 128(22):246
Paiva B, Martinez-Lopez J, Vidriales MB, Mateos MV, Montalban MA, Fernandez-Redondo E et al (2011) Comparison of immunofixation, serum free light chain, and immunophenotyping for response evaluation and prognostication in multiple myeloma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 29(12):1627–1633
Korthals M, Sehnke N, Kronenwett R, Bruns I, Mau J, Zohren F et al (2012) The level of minimal residual disease in the bone marrow of patients with multiple myeloma before high-dose therapy and autologous blood stem cell transplantation is an independent predictive parameter. Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation 18(3):423–31.e3
Paiva B, Gutierrez NC, Rosinol L, Vidriales MB, Montalban MA, Martinez-Lopez J et al (2012) High-risk cytogenetics and persistent minimal residual disease by multiparameter flow cytometry predict unsustained complete response after autologous stem cell transplantation in multiple myeloma. Blood 119(3):687–691
Roussel M, Lauwers-Cances V, Robillard N, Hulin C, Leleu X, Benboubker L et al (2014) 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. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 32(25):2712–2717
Ferrero S, Ladetto M, Drandi D, Cavallo F, Genuardi E, Urbano M et al (2015) Long-term results of the GIMEMA VEL-03-096 trial in MM patients receiving VTD consolidation after ASCT: MRD kinetics’ impact on survival. Leukemia 29(3):689–695
Korde N, Roschewski M, Zingone A, Kwok M, Manasanch EE, Bhutani M et al (2015) Treatment with carfilzomib-Lenalidomide-dexamethasone with Lenalidomide extension in patients with smoldering or newly diagnosed multiple myeloma. JAMA Oncol 1(6):746–754
Ludwig H, Greil R, Masszi T, Spicka I, Shpilberg O, Hajek R et al (2015) Bortezomib, thalidomide and dexamethasone, with or without cyclophosphamide, for patients with previously untreated multiple myeloma: 5-year follow-up. Br J Haematol 171(3):344–354
Oliva S, Gambella M, Gilestro M, Muccio VE, Gay F, Drandi D et al (2017) Minimal residual disease after transplantation or lenalidomide-based consolidation in myeloma patients: a prospective analysis. Oncotarget 8(4):5924–5935
Paiva B, Cedena MT, Puig N, Arana P, Vidriales MB, Cordon L et al (2016) Minimal residual disease monitoring and immune profiling in multiple myeloma in elderly patients. Blood 127(25):3165–3174
Attal M, Lauwers-Cances V, Hulin C, Leleu X, Caillot D, Escoffre M et al (2017) Lenalidomide, Bortezomib, and dexamethasone with transplantation for myeloma. N Engl J Med 376(14):1311–1320
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Berger, N., Kim-Schulze, S., Parekh, S. (2018). Minimal Residual Disease in Multiple Myeloma: Impact on Response Assessment, Prognosis and Tumor Heterogeneity. In: Aguirre-Ghiso, J. (eds) Biological Mechanisms of Minimal Residual Disease and Systemic Cancer. Advances in Experimental Medicine and Biology, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-319-97746-1_9
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DOI: https://doi.org/10.1007/978-3-319-97746-1_9
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