Skip to main content
Download PDF

Measurable residual disease in multiple myeloma: ready for clinical practice?

Journal of Hematology & Oncology volume 13, Article number: 82 (2020) Cite this article

Abstract

The landscape of multiple myeloma (MM) has changed considerably in the past two decades regarding new treatments, insight into disease biology and innovation in the techniques available to assess measurable residual disease (MRD) as the most accurate method to evaluate treatment efficacy. The sensitivity and standardization achieved by these techniques together with unprecedented rates of complete remission (CR) induced by new regimens, raised enormous interest in MRD as a surrogate biomarker of patients’ outcome and endpoint in clinical trials. By contrast, there is reluctance and general lack of consensus on how to use MRD outside clinical trials. Here, we discuss critical aspects related with the implementation of MRD in clinical practice.

Introduction

The outcome of patients with multiple myeloma (MM) has improved significantly in the last 20 years. This was the result of more than eight novel agents incorporated into the treatment armamentarium of MM, which led to unprecedented rates of complete remission (CR) and prolonged survival. In fact, we are now in a position to discuss whether MM may become a curable disease, which was beyond imagination a few years ago. Eradicating all tumor cells is a prerequisite to cure most malignancies, which raises the need of using high-sensitive tools to evaluate treatment efficacy. Although the definition of CR in MM is very useful in clinical practice, its sensitivity is suboptimal in many patients since current criteria relies on traditional techniques such as serum immunofixation and plasma cell (PC) enumeration by morphology that does not discriminate between normal and tumor cells. Adding immunohistochemistry or immunofluorescence does not improve cytological analysis and its sensitivity is low (10−2) due to the recovery of normal PCs after therapy that normalize kappa/lambda ratios. Furthermore, the serum free light-chain ratio has proven to be of limited value to discriminate patients in CR at different risk of progression and in fact, the stringent CR definition has failed to improve risk-stratification beyond conventional CR [1,2,3]. Therefore, the words “complete”–“remission” are misleading for many patients because they may interpret that, once achieved such status, the disease has been eradicated. Thus, it becomes evident that more sensitive techniques are needed to detect measurable (formerly called minimal) residual disease persisting below CR. Ideally, this would contribute to evaluate treatment efficacy with exquisite resolution (one that matches the high efficacy of new regimens) and to avoid both over and under treatment. Unfortunately, there is still a marked imbalance between the extraordinary therapeutic progress and the use of laboratory tests to monitor patients and, accordingly, to individualize treatments decisions in MM.

If response to therapy is one of the most, if not the most, effective marker to predict survival, who would not want to know with high precision, the quality of patients’ response to therapy? Should we ignore biological information with clear correlation with outcome?. We are now in 2020, but almost 20 years ago there was already evidence about the prognostic impact of persistent MRD in CR patients; should we wait for another two decades or should we implement this information to investigate innovative therapeutic interventions and to individualize patients’ management?

MRD techniques can be divided into those identifying extramedullary disease (e.g., positron emission tomography/computed tomography (PET/CT)) and those detecting intramedullary disease by either multiparameter flow cytometry (MFC) immunophenotyping or molecular assessment of immunoglobulin gene rearrangements. Using MFC, we can identify myelomatous PC based on light-chain clonality of phenotypically aberrant tumor cells. Initial MFC approaches (with a sensitivity of 10−4 and no standardization) [4, 5] have evolved into next-generation flow (NGF) cytometry developed by EuroFlow, which is based on optimized monoclonal antibodies combinations and sample preparation protocols that overcome blocking or internalization of monoclonal antibodies targeting PC antigens such as CD38, the acquisition of ≥ 107 nucleated cells per sample, and novel software tools allowing for automated analysis with an expected sensitivity of 2 × 10−6 [6]. A similar evolution was observed on molecular grounds, where clonal immunoglobulin gene rearrangements (the unique ID of myelomatous PC) were initially identified by laborious and low-applicable ASO-PCR techniques and are now detected by next-generation sequencing (NGS) that performs millions of reads of DNA fragments in a standardized fashion with a sensitivity of 10−6 [7]. Both NGF and NGS have advantages and disadvantages for MRD detection that have been enumerated elsewhere [8, 9], but yield similar clinical results [10, 11] if used according to the guidelines of the International Myeloma Working Group (IMWG) [9]. NGS has been standardized through commercial kits developed by some companies and can be performed in frozen samples, which is an advantage for large multicenter clinical trials; NGF does not require baseline samples, allows evaluation of the whole bone marrow (BM) cellularity (e.g., hemodilution) and results are available in few hours. While both NGF and NGS supersede the performance of previous immunophenotypic and molecular methods, patients with undetectable MRD by any of these technologies continue to show a linear risk of relapse [12]. Thus, further improvement in the sensitivity of NGF and NGS are warranted to optimize risk-stratification based on patients’ MRD status. PET/CT is currently the optimal method to evaluate the disease outside the BM and there are ongoing efforts for its standardization [13]. Fluorodeoxyglucose is the most widely used radiolabeled compound but others such as methionine are under investigation [14]. PET/CT evaluation of treatment efficacy correlates with patients’ PFS [15,16,17]. Furthermore, studies from the IFM and University of Arkansas demonstrated complementarity between PET/CT and flow cytometry for risk-stratification [16, 18]. A recent analysis of PETHEMA/GEM uncovered that approximately half of patients with undetectable MRD developing early progression, some of them with extra-osseous plasmacytomas at diagnosis, presented new plasmacytomas as an isolated criterion of disease progression, without detectable M-protein or BM infiltration. Thus, it appears that these were true false-negative MRD results, reinforcing the need to combine NGF or NGS with PET/CT to monitor treatment efficacy, particularly in patients presenting with extramedullary or macro-focal disease, as well as elevated LDH levels [19].

Here, we will discuss critical aspects related with the implementation of MRD in clinical practice.

Does undetectable MRD meet the key requirements to be used as treatment endpoint?

We considered the following prerequisites to evaluate if undetectable MRD can be used as treatment endpoint in MM: (1) must supersede the prognostic value of CR; (2) must provide reproducible results irrespectively of methodology and disease setting; and (3) must be applicable to all patients.

MRD supersedes CR

Many studies have shown significant differences in progression-free (PFS) and overall survival (OS) between patients in CR with detectable vs undetectable MRD, and this was confirmed in a recent meta-analysis showing a hazard ratio (HR) of 0.44 (95% CI 0.34–0.56, P < .001) for PFS and of 0.47 (95% CI 0.33–0.67, P < .001) for OS in favor of those patients in CR who had undetectable MRD [20]. Another striking evidence that MRD supersedes CR is the study conducted by Lahuerta et al. [21] in a large MM series (797 cases). First, it was demonstrated that patients in CR have longer PFS and OS than those in very good partial response (VGPR)/near complete response (nCR), partial response (PR) or less than PR. However, upon discriminating patients in CR that were MRD negative and positive, it became evident that cases in CR with persistent MRD had the same outcome as patients in nCR/VGPR and even PR (PFS of 27 and 29 months, and OS of 59 and 65 months, respectively). These results underpin that the true value of CR is intimately connected to the subset of patients in CR that have undetectable MRD: the higher the frequency of undetectable MRD the better the outcome of CR patients [21].

The clinical impact of MRD is reproducible in different centers, by molecular and immunophenotypic methods, and in all disease settings

Recent studies in the transplant setting have reported groundbreaking results using NGS and NGF [19, 22]. With a sensitivity in the logarithmic range of 10−6, both provided similar and dramatic discrimination between patients with undetectable vs persistent MRD, which resulted in HR for PFS of 0.22 (95% CI 0.15–0.34; P < .001) with NGS and 0.18 (95% CI 0.11–0.30; P < .001) with NGF. This confirms that both techniques are equally robust for risk-stratification and illustrates the reproducibility between different centers/groups regarding clinical outcomes according to MRD results. Indeed, a subanalysis of the CASSIOPEIA study conducted by the French group that compares both techniques at the sensitivity level of 10−5, showed high correlation [10]. Large studies such as the UK Myeloma XI [23] and the EMNO2/MO95 [24] conducted by other centers/groups that used MFC with a sensitivity ranging from 10−4 to 10−5, were able to reproduce the prognostic impact of MRD (HR for PFS of 0.19 and 0.44, respectively).

Until recently, information in transplant-ineligible patients was less abundant probably because achieving CR was infrequent in this setting. Two large randomized trials comparing VMP or Rd with or without daratumumab (ALCYONE and MAIA, respectively) demonstrated that independently of treatment, those patients achieving undetectable MRD by NGS enjoyed significantly longer PFS [25, 26]. Similar results were described in the CLARION trial using NGF [27]. Of note, the Spanish group has shown that the impact of MRD negativity in reducing the risk of progression and/or death is higher in the elderly as compared to transplant-eligible patients [21]. We believe this reflects the impact of initial depth of response in a patient population with limited options to receive more than 2–3 lines of therapy due to age and comorbidities [28]. New options for salvage therapy have markedly increased depth of response and survival in patients with relapsed/refractory MM. In this setting, the most solid MRD information derives from two randomized studies using NGS: CASTOR (bortezomib/dexamethasone ± daratumumab) [29] and POLLUX (lenalidomide/ dexamethasone ± daratumumab) [30]. Both confirmed that irrespective of treatment, MRD-negative patients had significantly longer PFS. Altogether, these results confirm that the clinical value of reaching MRD negativity is independent of the treatment received, which has been reproduced in different studies by different groups using different techniques. This is supported by the meta-analysis of Munshi et al. [20].

Undetectable MRD is clinically relevant in patients with standard- and high-risk disease

It is well-stablished that MM patients with high-risk cytogenetics have poor outcome. While the achievement of CR commonly fails to prolong survival in this population, the Spanish group showed that the impact of achieving MRD negativity in reducing the risk of progression and/or death is even higher in patients with adverse cytogenetics than in standard-risk cases [19, 21]. The French group has confirmed that MRD status by NGS not only discriminates outcomes in both standard- and high-risk patients, but also that if the later population achieve an undetectable MRD their PFS will be longer than those with standard-risk cytogenetics but persistent MRD [22]. Similar results have been reported by NGF [19]; the median PFS was similar for MRD-negative patients with revised International staging system (R-ISS) 1, 2, and 3 (not reached in any category), while in the MRD-positive population the median PFS was not reached for R-ISS 1, and it is 38 months and 14 months for R-ISS 2 and 3, respectively. These results reinforce the predictive value of MRD in standard and high-risk MM and unveil that risk is dynamic, since patients with adverse prognosis may shift into favorable once upon achieving deep responses to treatment with undetectable residual tumor cells [19]. These findings suggest that the only way to overcome the dismal outcome of high-risk patients is by considering undetectable MRD as their treatment endpoint.

Potential pitfalls of MRD in MM

All the above suggests that MRD meets the key requirements to become a treatment endpoint in MM. However, the potential pitfalls of MRD techniques should be recognized and have been summarized below in four items:

The quality of BM samples

MM displays a patchy pattern of BM infiltration and, irrespectively of that, samples can be hemodiluted. Accordingly, we cannot be totally certain that an MRD-negative result, irrespectively of the technique used, represents real absence of clonal PC or is due to sampling error. To minimize a false MRD-negative result, the presence of BM cellular elements should be evaluated [6] and an MRD-negative result should be confirmed in a second (or more) assessment [9].

Patients displaying transient or unsustained MRD negativity

In line with what is required for definition of CR (a confirmatory sample), for MRD it has become evident that although MRD negativity in a single time point clearly predicts longer survival, risk-stratification is significantly improved when this result is reproduced at 6 or 12 months. (POLLUX and CASTOR studies [31]).

Cases remaining MRD positive at very low levels without disease progression

This may be explained by the presence of “benign” MRD clones and/or a very active immune reconstitution with the capacity to control low numbers of residual clonal cells [28]. The Spanish group and others have shown a few patients with unique immune features may have prolonged PFS despite persistent MRD [28, 32].

Persistence of extramedullary disease not detectable in BM aspirates

The extended use of PET/CT in MM assessment has illustrated that not only extramedullary, but also paramedullary and single focal lesions can be present and undetectable with conventional MM exams [33]. In fact, there is now consensus that evaluation, both inside and outside the BM, is the best option to detect residual disease, and patients that are double negative for these two complementary assessments have the best outcome [9, 18].

How to implement MRD in clinical practice?

Since MRD is one of the most (if not the most) relevant prognostic factor, we should take advantage of this information to improve patient management (including both for innovative clinical trial—e.g., Table 1—design and in clinical practice). Naturally, MRD assessment should be performed only when a BM aspirate is collected to confirm CR, in accordance to the IMWG guidelines [9]. From thereafter, MRD testing should be performed whenever such results could help on clinical decisions (e.g., in between treatment stages) and repeated periodically (e.g., every 1 or 2 years) to confirm patients’ MRD status. First, it is important to clarify that while, as discussed above, an MRD-negative result still has a certain degree of uncertainty, persistence of MRD is a strong adverse prognostic feature, even among CR patients. Accordingly, it will be safer to make clinical decisions based on persistent MRD than on undetectable MRD.

Table 1 Clinical trials where MRD guides treatment decisions. Results are based on a search in the ‘https://clinicaltrials.gov/’ website that included the terms “multiple myeloma” and “MRD”, and individual identification of clinical trials where treatment algorithms were triggered by patients’ MRD status. Selected studies (identified with an asterisk) were added based on knowledge of their existence, despite being absent in search results. It should be noted that many more studies assess MRD and in most clinical trials, MRD response rates are a primary or secondary endpoint (see Fig. 1). However, because no apparent treatment decision is being made based on patients’ MRD status, those studies were not included in the table below. There are many clinical trials that, to the best of our knowledge, will have MRD-guided treatment decisions but were not added because their design is still being finalized or have not been initiated at the time of this publication
Full size table

How to take advantage of the higher sensitivity of modern MRD techniques to evaluate treatment efficacy and to guide therapeutic decisions? Table 1 shows the ongoing clinical trials that use MRD assessment using next-generation techniques. As a first example, if a patient is in CR before ASCT, how to evaluate the efficacy of subsequent high-dose therapy? In this context, you may be guided by the effect of high-dose therapy on persistent MRD. Similarly, if the patient is reluctant or is not a candidate for ASCT and has achieved CR, why not continue with additional cycles of consolidation until MRD becomes undetectable before moving to maintenance? Second, in high-risk patients with persistent MRD following an optimized induction plus ASCT, we know median PFS will be very short (typically less than two years) [21, 22]; accordingly, it could be envisioned that the introduction of novel agents such as monoclonal antibodies plus second/third generation of PI/IMIDS after ASCT may produce benefit; noteworthy, this “risk-adapted therapy approach” is being tested in some trials. Third, if we know that treatment “A” induces three-fold higher MRD-negative rates as compared to treatment “B,” should this influence my clinical practice? Fourth, to adapt maintenance intensity and duration. Several clinical trials are investigating this concept; for example, the RADAR study from the UK group segregates MRD-positive and MRD-negative patients after ASCT: in the first cohort, they will compare 1 vs 2 vs 3 drugs (IMID-PI-MoAb), while in MRD-negative cases, they will explore treatment until disease progression versus fixed duration. Similarly, in the Spanish GEM2014MAIN trial, after 2 years maintenance patients were randomized according to MRD: if positive, they continued for 3 years but if negative, they stopped treatment [19]. These are selected examples out of many other trials with similar conceptual design, all oriented to stop maintenance if the patient is MRD-negative and continue if positive. However, it can be argued that if patients remain MRD-positive after optimal intensive treatment (including 3–4 drugs), maintenance with a single agent will be of limited value and probably, these cases may benefit from an experimental approach (e.g., individualized immunotherapy according to tumor and immune cell biology). By contrast, if patients have undetectable MRD, standard maintenance approaches may effectively maintain immune surveillance and sustain undetectable MRD for long periods of time. Accordingly, data from most recent studies suggest that patients with undetectable MRD are the ones that (as opposed to cases with persistent MRD) benefit the most from maintenance therapy [19, 22, 25, 26]. We believe this is the surrogate biomarker of cure in MM, and trials designed to address these concepts are of utmost importance (Table 1). In fact, the notion that MRD can act as surrogate biomarker for survival and thereby accelerate drug development is evolving based on consistent and positive results observed in recent years (Table 2), and a progressive number of clinical trials are using MRD rates as primary endpoint (Fig. 1).

Table 2 Prospective randomized clinical trials with MRD assessment using next-generation techniques. These studies were selected based on reported effect of treatment randomization in patients’ outcome and MRD negativity rates. Overall, whenever significant differences in MRD rates are observed, these predicted significant differences in outcome
Full size table
Fig. 1
figure 1

Clinical trials reporting MRD assessment. Results are based on a search in the https://clinicaltrials.gov/ website that included the terms “multiple myeloma” and “MRD.” Of 170 clinical trials, 154 indicate in the “descriptive information” that MRD is assessed. Furthermore, MRD negative rates are a “primary outcome measure” in 41 (27%) studies, and a “secondary outcome measure” in 104 (67%) trials

Full size image

Looking into the future

The longer an undetectable MRD status is sustained, the higher its impact in reducing the risk of progression and prolonging survival of MM patients. This requires periodic MRD assessment and invasive BM aspirates pose a challenge. Thus, further methodological innovation is warranted to monitor MRD in blood as frequent as possible. Of note, promising results have been recently reported using NGS [35] and NGF [36] in peripheral blood (PB). Namely, the EuroFlow consortium as recently reported that with NGF, it was possible to detect MRD in PB of 17% of patients in CR; most importantly, presence of MRD in PB identified a subgroup of patients in CR with dismal outcome (median PFS of 9 months) [37]. Conversely, both studies using NGS and NGF showed that approximately 40% of patients displayed MRD in BM that was undetectable in PB [35, 36]. There is also growing evidence supporting circulating tumor DNA (ctDNA) for liquid biopsies in MM. However, this approach suffers from a conundrum between applicability and extent of genetic information: while targeted sequence of a few genes or hotspot mutations is highly applicable, comprehensive whole-exome sequencing of cfDNA is possible in a small number of patients with high ctDNA burden [38,39,40]. Thus, these approaches do not seem to be powered for sensitive MRD assessment in all MM patients. By contrast, matrix-assisted laser desorption ionisation time-of-flight mass spectrometry that detect M-proteins in serum has shown to be more sensitive compared to current electrophoretic methods [41, 42]. In fact, most recent observations suggest that this method may provide complementary information to MRD assessment in BM [43, 44]. More studies are needed to define if this concept is ready for prime time. We believe that a minimally-invasive MRD test will foster its use in clinical practice, particularly for preemptive therapeutic approaches upon MRD reappearance in PB. However, at the moment, we consider that BM remains the gold-standard sample for MRD testing.

We must not forget that under the pressure of enormous drug costs, the best way to make our health systems sustainable is by curing MM. We have experienced great progress and now we need to optimize the use of highly effective drugs developed including emerging immunotherapeuties. This should be implemented early in the course of the disease in order to overcome the poor prognosis of high-risk patients, including those with persistent MRD after optimal frontline treatment. In other words, “early detection of the problem guided by sensitive methods to allow early intervention.”

Availability of data and materials

Not applicable

Abbreviations

MM:

Multiple myeloma

MRD:

Measurable residual disease

CR:

Complete remission

PC:

Plasma cell

PET/CT:

Positron emission tomography/computed tomography

MFC:

Multiparameter flow cytometry

NGF:

Next-generation flow

NGS:

Next-generation sequencing

IMWG:

International Myeloma Working Group

BM:

Bone marrow

PFS:

Progression-free survival

OS:

Overall survival

HR:

Hazard ratio

VGPR:

Very good partial response

nCR:

Near complete response

PR:

Partial response

R-ISS:

Revised International staging system

PB:

Peripheral blood

ctDNA:

Circulating tumor DNA

References

  1. Martínez-López J, Paiva B, López-Anglada L, Mateos M-V, Cedena T, Vidríales M-B, et al. Critical analysis of the stringent complete response in multiple myeloma: contribution of sFLC and bone marrow clonality. Blood. 2015;126:858–62.

    Article  Google Scholar 

  2. Lopez-Anglada L, Cueto-Felgueroso C, Rosiñol L, Oriol A, Teruel AI, de la Guia AL, et al. Prognostic utility of serum free light chain ratios and heavy-light chain ratios in multiple myeloma in three PETHEMA/GEM phase III clinical trials. PLoS One. 2018;13:e0203392.

    Article  Google Scholar 

  3. Abdallah N, Kapoor P, Murray DL, Buadi FK, Dingli D, Dispenzieri A, et al. Utility of serum free light chain ratio in response definition in patients with multiple myeloma. Blood Adv. 2020;4:322–6.

    Article  Google Scholar 

  4. Rawstron AC, Davies FE, DasGupta R, Ashcroft AJ, Patmore R, Drayson MT, et al. Flow cytometric disease monitoring in multiple myeloma: the relationship between normal and neoplastic plasma cells predicts outcome after transplantation. Blood. 2002;100:3095–100.

    Article  CAS  Google Scholar 

  5. San Miguel JF, Almeida J, Mateo G, Bladé J, López-Berges C, Caballero D, et al. Immunophenotypic evaluation of the plasma cell compartment in multiple myeloma: a tool for comparing the efficacy of different treatment strategies and predicting outcome. Blood. 2002;99:1853–6.

    Article  Google Scholar 

  6. Flores-Montero J, Sanoja-Flores L, Paiva B, Puig N, García-Sánchez O, Böttcher 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 

  7. Faham M, Zheng J, Moorhead M, Carlton VEH, 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 

  8. Paiva B, Chandia M, Puig N, Vidriales M-B, Perez JJ, Lopez-Corral L, et al. The prognostic value of multiparameter flow cytometry minimal residual disease assessment in relapsed multiple myeloma. Haematologica. 2015;100:e53–5.

    Article  Google Scholar 

  9. Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P, et al. International myeloma working group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol. 2016;17:e328–46.

    Article  Google Scholar 

  10. Moreau P, Attal M, Hulin C, Arnulf B, Belhadj K, Benboubker L, et al. Bortezomib, thalidomide, and dexamethasone with or without daratumumab before and after autologous stem-cell transplantation for newly diagnosed multiple myeloma (CASSIOPEIA): a randomised, open-label, phase 3 study. Lancet. 2019;394:29–38.

    Article  CAS  Google Scholar 

  11. 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. Clinical Lymphoma, Myeloma and Leukemia. Elsevier; 2019;19:e47.

  12. San-Miguel JF, Paiva B. How deep is the myeloma iceberg? Blood. American Society of Hematology; 2018;132:2424–2425.

  13. Jamet B, Bailly C, Carlier T, Touzeau C, Nanni C, Zamagni E, et al. Interest of Pet Imaging in Multiple Myeloma. Front Med (Lausanne) [Internet]. 2019 [cited 2020 Mar 2];6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465522/.

  14. Lapa C, Garcia-Velloso MJ, Lückerath K, Samnick S, Schreder M, Otero PR, et al. 11C-methionine-PET in multiple myeloma: a combined study from two different institutions. Theranostics. 2017;7:2956–64.

    Article  CAS  Google Scholar 

  15. Zamagni E, Nanni C, Mancuso K, Tacchetti P, Pezzi A, Pantani L, et al. PET/CT improves the definition of complete response and allows to detect otherwise unidentifiable skeletal progression in multiple myeloma. Clin Cancer Res. 2015;21:4384–90.

    Article  CAS  Google Scholar 

  16. Moreau P, Attal M, Caillot D, Macro M, Karlin L, Garderet L, et al. Prospective evaluation of magnetic resonance imaging and [18F]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. JCO. 2017;35:2911–8.

    Article  CAS  Google Scholar 

  17. Zamagni E, Patriarca F, Nanni C, Zannetti B, Englaro E, Pezzi A, et al. Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation. Blood. 2011;118:5989–95.

    Article  CAS  Google Scholar 

  18. Rasche L, Alapat D, Kumar M, Gershner G, McDonald J, Wardell CP, et al. Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma. Leukemia. 2019;33:1713–22.

    Article  CAS  Google Scholar 

  19. Paiva B, Puig N, Cedena M-T, Rosiñol L, Cordón L, Vidriales M-B, et al. Measurable Residual Disease by Next-Generation Flow Cytometry in Multiple Myeloma. J Clin Oncol. 2019;JCO1901231.

  20. Munshi NC, Avet-Loiseau H, Rawstron AC, Owen RG, Child JA, Thakurta A, et al. Association of Minimal Residual Disease with Superior Survival Outcomes in patients with multiple myeloma: a meta-analysis. JAMA Oncol. 2017;3:28–35.

    Article  Google Scholar 

  21. Lahuerta J-J, Paiva B, Vidriales M-B, Cordón L, Cedena M-T, Puig N, et al. Depth of response in multiple myeloma: a pooled analysis of three PETHEMA/GEM clinical trials. J Clin Oncol. 2017;35:2900–10.

    Article  CAS  Google Scholar 

  22. Perrot A, Lauwers-Cances V, Corre J, Robillard N, Hulin C, Chretien M-L, 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 

  23. de Tute RM, Rawstron AC, Cairns DA, Pawlyn C, Davies FE, Collett C, et al. Impact of minimal residual disease in transplant ineligible myeloma patients: results from the UK NCRI myeloma XI trial. Blood. 2016;128:245.

    Article  Google Scholar 

  24. Gambella M, Omedé P, Spada S, Muccio VE, Gilestro M, Saraci E, et al. Minimal residual disease by flow cytometry and allelic-specific oligonucleotide real-time quantitative polymerase chain reaction in patients with myeloma receiving lenalidomide maintenance: a pooled analysis. Cancer. 2019;125:750–60.

    Article  CAS  Google Scholar 

  25. Mateos M-V, 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 

  26. 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 

  27. Facon T, Lee JH, Moreau P, Niesvizky R, Dimopoulos M, Hajek R, et al. Carfilzomib or bortezomib with melphalan-prednisone for transplant-ineligible patients with newly diagnosed multiple myeloma. Blood. 2019;133:1953–63.

    Article  CAS  Google Scholar 

  28. Paiva B, Cedena M-T, Puig N, Arana P, Vidriales M-B, 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 

  29. Spencer A, Lentzsch S, Weisel K, Avet-Loiseau H, Mark TM, Spicka I, et al. Daratumumab plus bortezomib and dexamethasone versus bortezomib and dexamethasone in relapsed or refractory multiple myeloma: updated analysis of CASTOR. Haematologica [Internet]. 2018 [cited 2020 Feb 26]; Available from: http://www.haematologica.org/content/early/2018/08/20/haematol.2018.194118.

  30. Dimopoulos MA, Oriol A, Nahi H, San-Miguel J, Bahlis NJ, Usmani SZ, et al. Daratumumab, Lenalidomide, and dexamethasone for multiple myeloma. N Engl J Med. 2016;375:1319–31.

    Article  CAS  Google Scholar 

  31. Avet-Loiseau H, San-Miguel JF, Casneuf T, Iida S, Lonial S, Usmani SZ, et al. Evaluation of sustained minimal residual disease (MRD) negativity in relapsed/refractory multiple myeloma (RRMM) patients (pts) treated with daratumumab in combination with lenalidomide plus dexamethasone (D-Rd) or bortezomib plus dexamethasone (D-Vd): analysis of pollux and castor. Blood. 2018;132:3272.

    Article  Google Scholar 

  32. Ho CM, McCarthy PL, Wallace PK, Zhang Y, Fora A, Mellors P, et al. Immune signatures associated with improved progression-free and overall survival for myeloma patients treated with AHSCT. Blood Adv. 2017;1:1056–66.

    Article  CAS  Google Scholar 

  33. Moreau P, Zweegman S, Perrot A, Hulin C, Caillot D, Facon T, et al. Evaluation of the prognostic value of positron emission tomography-computed tomography (PET-CT) at diagnosis and follow-up in transplant-eligible newly diagnosed multiple myeloma (TE NDMM) patients treated in the phase 3 cassiopeia study: results of the Cassiopet companion study. Blood. 2019;134:692.

    Article  Google Scholar 

  34. Attal M, Lauwers-Cances V, Hulin C, Leleu X, Caillot D, Escoffre M, et al. Lenalidomide, bortezomib, and dexamethasone with transplantation in myeloma. N Engl J Med. 2017;376:1311–20.

    Article  CAS  Google Scholar 

  35. Mazzotti C, Buisson L, Maheo S, Perrot A, Chretien M-L, Leleu X, et al. Myeloma MRD by deep sequencing from circulating tumor DNA does not correlate with results obtained in the bone marrow. Blood Adv. 2018;2:2811–3.

    Article  CAS  Google Scholar 

  36. Sanoja-Flores L, Flores-Montero J, Garcés JJ, Paiva B, Puig N, García-Mateo A, et al. Next generation flow for minimally-invasive blood characterization of MGUS and multiple myeloma at diagnosis based on circulating tumor plasma cells (CTPC). Blood Cancer J. 2018;8:1–11.

    Article  Google Scholar 

  37. Sanoja-Flores L, Flores-Montero J, Puig N, Contreras-Sanfeliciano T, Pontes R, Corral-Mateos A, et al. Blood monitoring of circulating tumor plasma cells by next generation flow in multiple myeloma after therapy. Blood. 2019;134:2218–22.

    Article  CAS  Google Scholar 

  38. Lohr JG, Kim S, Gould J, Knoechel B, Drier Y, Cotton MJ, et al. Genetic interrogation of circulating multiple myeloma cells at single cell resolution. Sci Transl Med. 2016;8:363ra147.

    Article  Google Scholar 

  39. Manier S, Park J, Capelletti M, Bustoros M, Freeman SS, Ha G, et al. Whole-exome sequencing of cell-free DNA and circulating tumor cells in multiple myeloma. Nat Commun [Internet]. 2018 [cited 2020 Apr 30];9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923255/.

  40. Guo G, Raje NS, Seifer C, Kloeber J, Isenhart R, Ha G, et al. Genomic discovery and clonal tracking in multiple myeloma by cell free DNA sequencing. Leukemia. 2018;32:1838–41.

    Article  CAS  Google Scholar 

  41. Mills JR, Barnidge DR, Murray DL. Detecting monoclonal immunoglobulins in human serum using mass spectrometry. Methods. 2015;81:56–65.

    Article  CAS  Google Scholar 

  42. Mills JR, Barnidge DR, Dispenzieri A, Murray DL. High sensitivity blood-based M-protein detection in sCR patients with multiple myeloma. Blood Cancer J. 2017;7:e590.

    Article  CAS  Google Scholar 

  43. Puig N, Mateos M-V, Contreras T, Paiva B, Cedena MT, Pérez JJ, et al. Qip-mass spectrometry in high risk smoldering multiple myeloma patients included in the GEM-CESAR trial: comparison with conventional and minimal residual disease IMWG response assessment. Blood. 2019;134:581.

    Article  Google Scholar 

  44. Eveillard M, Rustad E, Roshal M, Zhang Y, Ciardiello A, Korde N, et al. Comparison of MALDI-TOF mass spectrometry analysis of peripheral blood and bone marrow-based flow cytometry for tracking measurable residual disease in patients with multiple myeloma. British Journal of Haematology [Internet]. [cited 2020 Apr 30];n/a. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/bjh.16443.

Download references

Acknowledgements

We would like to acknowledge all the investigators in the GEM (Grupo Español de Mieloma)/PETHEMA (Programa para el Estudio de la Terapéutica en Hemopatías Malignas) cooperative study group, which are listed in the supplemental appendix.

Funding

Supported by grants from the Centro de Investigación Biomédica en Red–Área de Oncología-del Instituto de Salud Carlos III (CIBERONC; CB16/12/00369), Instituto de Salud Carlos III/Subdirección General de Investigación Sanitaria (FIS no. PI15/01956, PI15/02049, FIS PI15/02062 y PI18/01709), Beca Leonardo a Investigadores y Creadores Culturales 2017, Fundación BBVA (IN[17]_BBM_TRA_0236), the Cancer Research UK, FCAECC and AIRC under the Accelerator Award Programme, the Black Swan Research Initiative of the International Myeloma Foundation, and the European Research Council (ERC) 2015 Starting Grant (MYELOMANEXT).

Author information

Authors and Affiliations

  1. Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain

    Leire Burgos, Bruno Paiva & Jesús F. San-Miguel

  2. Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain

    Noemi Puig & María-Victoria Mateos

  3. Hospital 12 de Octubre, CIBER-ONC number CB16/12/00369, Madrid, Spain

    Maria-Teresa Cedena & Juan José Lahuerta

Authors
  1. Leire Burgos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Noemi Puig
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maria-Teresa Cedena
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. María-Victoria Mateos
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Juan José Lahuerta
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bruno Paiva
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jesús F. San-Miguel
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

L.B., B.P., and J.F.S.M. wrote the manuscrpipt. All authors reviewed, read, and approved the manuscript.

Corresponding author

Correspondence to Jesús F. San-Miguel.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

M.-V.M. has received honoraria from lectures or participation in advisory boards from Janssen, Celgene, Amgen, Takeda, Abbvie, Adaptive, GSK, Pharmamar, EDO, Oncopeptides. J.-J.L. reports honoraria from and membership on board of directors or advisory committees with Takeda, Amgen, Celgene, and Janssen. B.P. reports honoraria for lectures from and membership on advisory boards with Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, Sanofi and Takeda. J.F.S.M. reports consultancy for Bristol-Myers Squibb, Celgene, Novartis, Takeda, Amgen, MSD, Janssen, and Sanofi and membership on board of directors or advisory committees with Takeda. The remaining authors declare no competing financial interests.

Additional information

Publisher’s Note

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

Supplementary information

Additional file 1.

List of investigators in the GEM (Grupo Español de Mieloma)/PETHEMA (Programa para el Estudio de la Terapéutica en Hemopatías Malignas) cooperative study group.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Burgos, L., Puig, N., Cedena, MT. et al. Measurable residual disease in multiple myeloma: ready for clinical practice?. J Hematol Oncol 13, 82 (2020). https://doi.org/10.1186/s13045-020-00911-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13045-020-00911-4

Keywords

  • Myeloma
  • Plasma cells
  • MRD
  • Clinical practice
  • Surrogate

Journal of Hematology & Oncology

ISSN: 1756-8722

Contact us