Abstract
The Blood and Marrow Transplant Clinical Trials Network (BMT CTN) Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling was convened on December 1, 2016 at the American Society of Hematology (ASH) meeting to discuss the emerging data and technologies for minimal residual disease assessment and immune profiling in myeloma. Particular emphasis was placed on developing strategies to incorporate these techniques into clinical trial design. This document reviews the literature, summarizes the topics discussed in the workshop and provides recommendations for integration of these techniques into future clinical trial design.
Keywords: Minimal residual disease, immune profiling, multiple myeloma, autologous stem cell transplant
Introduction
The survival outcomes for patients with multiple myeloma have significantly improved over the past twenty years in large part because of the advent of novel therapeutic agents including immunomodulatory drugs (IMiDs), proteasome inhibitors (PIs), and monoclonal antibodies. There are substantial historical data showing that patients who achieve deeper responses (e.g., complete response (CR)) have prolonged survival compared to those who do not (reviewed in1). Induction regimens such as lenalidomide, bortezomib and dexamethasone (RVD) and carfilzomib, lenalidomide and dexamethasone (KRD) are associated with CR rates of approximately 25% and overall response rates nearly 100%.2–5 However, not all patients who achieve CR have equivalent outcomes and this heterogeneity is in part due to the presence of minimal residual disease (MRD). Newer studies have demonstrated that achievement of MRD-negativity is a stronger predictor for survival than is traditional CR.6 MRD has recently been incorporated into the IMWG response criteria.7 However, there has been much heterogeneity with respect to how MRD is assessed and there are ongoing efforts to standardize MRD assessment.8–10 There are emerging data which demonstrate that the immunophenotype of leukocytes before and/or after transplant (immune profiling (IP)) correlate with survival outcomes. Different studies have highlighted different immune cell populations.11–13 Given the accumulating evidence for the associations between MRD status, immune profiling, and survival, a BMT CTN Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling was convened at the ASH meeting on December 1, 2016.
List of Speakers and Topics
Thursday, December 1 | Presented By |
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Introduction | |
Prognostic Markers Versus Endpoint Markers and Summary of Questionnaire regarding MRD and IP | Philip McCarthy |
MRD Session | |
Genetic Interrogation Of Circulating Multiple Myeloma Cells At Single-Cell Resolution | Jens Lohr |
Utilizing Flow Cytometric Analysis | Bruno Paiva |
Utilizing Molecular Analysis In Patients With MM | Hervé Avet Loiseau |
Lessons Learned During The Implementation Of A Flow Cytometric MRD Assay For Multiple Myeloma | Joseph Tario |
BMT CTN PRognostic Immunophenotyping in Myeloma Response (PRIMeR) from the BMT CTN 0702 And RPCI MRD data | Theresa Hahn |
Molecular Analysis Of The Multiple Myeloma Patient | Nikhil Munshi |
MRD: When To Measure And How To Incorporate Into Trial Design | Group Discussion |
Immune Profiling Session | |
Immune Profiling/Reconstitution Overview | Philip McCarthy |
Immune Profiling To Predict Outcome | Bruno Paiva |
Prospective Immunprofiling In A Multicenter Trial - The GMMG-CONCEPT Project | Katja Weisel |
Immune Profiling As A Predictor Of MRD Negativity | Saad Usmani |
Immune Profiling: When To Measure And How To Incorporate Into Trial Design | Group Discussion |
Pre-workshop survey
Prior to the workshop, a survey was sent to 163 individuals representing 71 centers from around the world and 41 responses (38 complete, 3 partial) were received. The survey focused on the utilization of MRD and IP assessment. A listing of the institutions that participated in the survey is provided in the supplemental material for this manuscript. Seventy percent of respondents (28/40) reported that their center measures MRD, with 57% utilizing flow cytometry, 18% utilizing next generation sequencing (NGS), 18% using both flow cytometry and NGS and 7% utilizing an alternative technique such as CD138-selected FISH or PET/CT. Sixty-four percent (18/28) reported that they measured MRD in all patients while 78% (14/18) reported measuring MRD only in patients in CR. There was heterogeneity with respect to which time point(s) were assessed for MRD: 54% after induction, 21% after stem cell collection, 75% after autologous stem cell transplantation (ASCT), 32% at one year post-ASCT and 32% at other time points including at CR or sCR, at VGPR/nCR, during maintenance, in clinical trials, long-term CR, or after allogeneic transplant.
A summary of the responses related to measurement of immune reconstitution/IP is provided in Table 1. Thirty-five percent (14/40) responded that their center measures immune reconstitution/IP before and/or after ASCT. Of those, 64% utilize flow cytometry, 86% assess immunoglobulin levels, and 21% assess vaccine titers. For those respondents who use flow cytometry to measure immune reconstitution, 25% perform the assessment after stem cell collection, 88% after ASCT and 63% at one year. Fifty-six percent (22/39) reported that they bill commercial insurance for these tests (MRD, immune profiling, vaccination titers, other) and 18% (7/38) report that these tests are in part supported by research funding. Thus, there was heterogeneity as to how and when MRD is tested as well as how IP is conducted following primary therapy and after ASCT.
Table 1.
Methodology | n/N (%) |
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| |
IP via flow cytometry | 9/14 (63%) |
T cellsa | 8/8 (100%) |
B cellsb | 6/8 (75%) |
NK cells | 5/8 (63%) |
Dendritic cells | 2/8 (25%) |
| |
Immune paresis | 12/14 (86%) |
Quantitative immunoglobulins | 16/39 (41%) |
HevyLite | 6/40 (15%) |
Cytokine secretion/CyToF | 2/39 (5%) |
| |
Vaccine titers | 12/39 (31%) |
Pneumococcal | 9/12 (75%) |
Tetanus | 7/12 (58%) |
Measles/mumps/rubella | 6/12 (50%) |
Diphtheria | 5/12 (42%) |
Pertussis | 5/12 (42%) |
Varicella | 5/12 (42%) |
Polio | 4/12 (33%) |
Meningococcal | 3/12 (25%) |
Influenza | 3/12 (5%) |
Other (hepatitis A, B or haemophilus) | 2/12 (17%) |
T cell subsets assessed: CD4 (100%), CD8 (88%), CD4 subsets (e.g., naïve, central memory, effectors, T regs; 38%), and CD8 subsets (e.g., naïve, central memory, effectors; 25%)
B cell subsets assessed: CD19 (100%), CD20 (67%), B cell subsets (e.g., naïve, memory, pre/post-switch; 33%)
Of those who utilize flow cytometry for studying IP, 100% assess T cells, 75% assess B cells, 63% assess NK cells and 25% assess dendritic cells. For those respondents who measure immunoglobulin levels, 15% (6/40) use HevyLite testing. Forty-one percent (16/39) reported measuring immunoparesis primarily through the measurement of immunoglobulins. Only two respondents (5%) reported using other techniques such as cytokine secretion or mass cytometry (Cytometry by Time of Flight (CyToF)). Thirty-one percent (12/39) measure vaccine titers: 75% pneumococcal, 58% tetanus, 50% measles, 50% mumps, 50% rubella, 42% diphtheria, 42% pertussis, 42% varicella, 33% polio, 25% meningococcal, 25% influenza, and 17% other (hepatitis A, B, or haemophilus). The vaccine titers are assessed at induction (8%), pre-transplant (17%), post-transplant (50%), and at one year post-transplant (58%). Reasons given for not measuring vaccine titers included all patients being vaccinated post-transplant, the results not affecting management, or due to issues of cost or insurance. The following topics were presented at the workshop by the speakers listed above. Here we summarize the presentations, relevant literature, and discuss the future directions for these important issues in MM therapy.
Summary of the MRD literature
Dr. Bruno Paiva gave an overview of the role of MRD in predicting outcome in transplant eligible and transplant ineligible patients. Achievement of MRD-negativity following initial therapy for newly diagnosed myeloma patients has been associated with improved outcomes, regardless of the technique used to assess MRD. Paiva et al. assessed MRD by multiparametric flow cytometry (MFC) at day 100 post-transplant in 295 newly diagnosed patients treated on the GEM2000 protocol.14 Both PFS and OS were significantly longer in patients who were MRD negative and MRD status was identified as the most important prognostic factor for both PFS and OS in multivariate analysis. In an analysis of GEM2000 and GEM2005 study patients, the presence of MRD positivity post-ASCT or high-risk cytogenetics at diagnosis predicted loss of CR status within one year.15 Rawstron et al., assessed MRD by MFC in patients treated on the MRC Myeloma IX trial and reported that the presence of MRD post-transplant (day 100) was associated with inferior PFS and OS.16 The use of thalidomide maintenance increased the PFS in the MRD-positive group but not the MRD-negative group.16 MRD negativity was associated with improved PFS in patients treated on the IFM 2009 protocol, regardless of whether patients were randomized to the ASCT arm or the non-transplant arm.3 de Tute et al., analyzed the MRD status of patients treated on the MRC Myeloma IX study. The conclusion from this report was that the benefit of achieving MRD negativity post-induction therapy is independent of the type of induction therapy used.17 Chakraborty et al., reported on the outcomes of 185 patients at a single institution.18 Those patients who achieved MRD negativity post-ASCT had improved PFS and OS compared to those who were MRD-positive. However, subgroups of patients with deletion 17p or more than two high-risk cytogenetic abnormalities achievement of MRD negativity did not confer improved survival. Paiva et al. assessed the prognostic impact of CR types in 102 elderly transplant ineligible patients after six cycles of induction therapy.19 Patients in sCR and MRD negative by MFC had longer PFS than those in sCR alone, but no difference in OS was observed. Twenty percent of patients with negative IFE were MRD-positive, with 50% relapsing early. In a pooled analysis of three PETHEMA/GEM trials which included both transplant eligible and transplant ineligible patients, achievement of MRD negativity was associated with prolonged PFS and OS.20 A recent meta-analysis of clinical trials involving newly diagnosed myeloma patients reported that MRD negativity was associated with improved PFS and OS.6, 21 Finally, achievement of MRD negativity has also been associated with improved outcomes in the relapsed/refractory setting.22, 23 After this workshop, the EMN02/HO95 randomized study of ASCT after induction vs at relapse showed that MRD negativity at a sensitivity of 10−4 to 10−5 at initiation of maintenance was predictive of outcome in those patients achieving a VGPR.24 Of the MRD positive patients, 44% became MRD negative by MFC after one year of maintenance. Of note, MRD positivity was most predictive of outcome followed by ISS II and high-risk cytogenetics.
Flow cytometric analysis of MRD
MFC involves the utilization of a panel of antibodies that can differentiate between normal and malignant plasma cells. Earlier generations of MFC assessed variable numbers of antigens and cell numbers and had a sensitivity of 10−4. Improvements in flow cytometry technology have translated into increased acquisition time speeds and an ability to simultaneously analyze a larger number of fluorophores. In turn, this has allowed the field to develop panels with more antibodies and to acquire larger numbers of events, improving the sensitivity to as high as 10−6. The goal of the International Myeloma Foundation’s Black Swan initiative was to develop a consensus methodology and this work has led to the EuroFlow panel.8, 9 This panel consists of two 8-color tubes (tube 1: CD138, CD27, CD38, CD56, CD45, CD19, CD117, CD81 ; tube 2: CD138, CD27, CD38, CD56, CD45, CD19, cIgΚ, cIgλ).
The advantages of utilizing MFC for MRD assessment include the availability of flow cytometers at the vast majority of centers, the standardized panels, feasibility, and lack of need for a diagnostic sample. However, in order to achieve the 10−5 –10−6 sensitivity, millions of cells need to be acquired and this can translate to lengthy acquisition times that interfere with the daily operating procedure of clinical flow cytometry labs. In addition, while there appears to be general agreement within the field regarding the identity of the epitopes to be analyzed, other variables such as the number of tubes, the commercial source of the antibodies and preparation of the sample continue to be assessed. Roshal et al., recently published an alternative method which utilizes the same epitopes but in a single ten-color tube.25 During the workshop, Dr. Joseph Tario reported on the Roswell Park Cancer Institute experience with implementation of a flow cytometric MRD assay (“BuffaFlow”).26 This institution has performed a comparison of their methodology which utilized antibody incubation prior to red blood cell lysis to the EuroFlow methodology which utilizes a bulk pre-lysis protocol. They determined that while the bulk pre-lysis method is slightly less expensive it requires a dedicated technologist and it significantly decreases CD138 intensity. While CD45, CD56, CD19, CD81, CD27, and CD117 were found to be insensitive to pre-lysis, the intensity of CD138 was reduced by approximately 25-fold following the bulk lysis procedure. Finally, the quality of the bone marrow sample is a critical factor. A hemodilute specimen can lead to a false negative MRD result which becomes especially important if treatment decisions are being made on the basis of the MRD test result. Whether a standardized procedure for marrow collection for MFC MRD can be developed remains to be determined. Certainly, it is essential that any MFC MRD report include an assessment of the quality of the marrow sample such that there can be confidence in the finding of MRD negativity.
Dr. Theresa Hahn gave an overview of the Prognostic Immunophenotyping in Myeloma Response (PRIMeR) Study, the ancillary study for BMT CTN 0702. Bone marrow was sampled after induction and prior to first ASCT for flow cytometric analysis for MRD. Bone marrow was further tested in each of 3 arms after primary therapy and at approximately 1 year post first ASCT. Aggregate results were presented without PFS and OS data as these were undergoing adjudication. There were 898 total samples available for analysis from 445 unique patients with 136 patients having samples at all three time points. We expect arm-specific and MRD correlation with PFS and OS results to be available in late 2017/first quarter 2018.
Dr. Nikhil Munshi gave an overview of the Molecular Analysis of the MM patient. His discussion included topics ranging from clonal heterogeneity and dispersed interstitial mutations in MM to the work of Bolli et al., describing mutational processes in MM.27, 28 MM presents a challenge due to a wide mutational spectrum, variation in mutational load, clonal heterogeneity and evolution over time.
ASO-qPCR
Allele-specific oligonucleotides real-time quantitative PCR (ASO-qPCR) involves the use of patient-specific primers for immunoglobulin heavy chain gene rearrangements. The reported sensitivity of this methodology is 10−5. One limitation of this methodology is the requirement for diagnostic samples. In addition, reported applicability rates have been noted to be in the 40–80% range due to factors such as lack of clonality detection and issues with sequencing.29–31 A number of studies have compared ASO-qPCR to MFC which in general have demonstrated a higher sensitivity of the ASO qPCR technique, however these studies utilized different MFC protocols.29, 32, 33
Next Generation Sequencing
Next generation sequencing (NGS) utilizes locus-specific primers for IGH-VDJH, IGH-DJH, or IGK. This technique does not require the use of patient-specific primers, although baseline samples are still required in order to identify the dominant clonotype. The sensitivity of this technique can reach 10−6.34 Several studies have reported that the applicability of this technique is more than 90%.34–36 In preliminary results from the IFM 2009 study, patients who achieved MRD negativity post-maintenance by NGS with less than 10−6 had a 3-yr PFS of 90% compared to 59% for those who with greater than 10−6.34 Dr. Herve Avet-Loiseau presented the results of the POLLUX (daratumumab + lenalidomide/dexamethasone (dex) (DRd) vs lenalidomide/dex (Rd)) and CASTOR (daratumumab + bortezomib/dex (DVd) vs bortezomib/dex (Vd)) trials, two randomized, phase 3 trials in patients with relapsed/refractory MM (RRMM).37 MRD was assessed by NGS of the B cell receptor on marrow aspirate samples. In the POLLUX trial, MRD was tested at time of estimated CR, and at 3 and 6 months afterwards. In the CASTOR trial, MRD was tested at time of estimated CR, and at 6 and 12 months afterwards. The addition of daratumumab induced deeper clinical responses manifested by MRD negativity leading to fewer PFS events compared to a MRD positive status. In both studies, attaining MRD negative status irrespective of study or control arm resulted in long-term disease control.
Emerging Methodologies
There is increasing evidence regarding the genetic complexity of the clonal evolution of myeloma cells and there is significant interest in characterizing this clonal evolution in order to understand the driving mutations for drug discovery purposes as well as for understanding drug resistance mechanisms.28 Whether circulating plasma cells can provide similar information as bone marrow plasma cells is also an active area of investigation. Mishima et al., have reported on the use of whole exome sequencing on both circulating tumor cells and bone marrow samples which demonstrated that ≥ 99% concordance with respect to identification of clonal mutations.38 Dr. Jens Lohr presented a methodology that allows for the isolation and characterization of myeloma cells at the single cell level.39 This protocol can be performed on either peripheral blood or bone marrow samples. The isolated single cells can be used for DNA sequencing (DNA-seq) or RNA sequencing (RNA-seq), providing information regarding differences in the mutational profiles between circulating and marrow cells. While this technique has important implications for monitoring the emergence of resistant subclones following therapy, it may also serve as an adjunct in the measurement of MRD.
Incorporation of MRD status into clinical trial design
To date, studies that have assessed MRD status have included this as an exploratory endpoint. Moving forward, it is imperative to determine whether MRD status can serve as a surrogate endpoint for PFS and/or OS and whether MRD status can be used to make treatment decisions. With respect to the former, it is becoming increasingly difficult to design MM trials with OS as the primary endpoint as these studies require large numbers of patients and prolonged follow-up times given the ever-increasing OS rates. Thus, in addition to the feasibility of enrolling large numbers of patients and the cost of keeping a study open for 5–10 years, there is the issue that by the time the primary endpoint is reached, the clinical question may no longer be relevant. Even the use of PFS as a primary endpoint in the upfront setting is becoming more difficult now that novel induction regimens with transplant and maintenance are producing long-lasting remissions. The appeal of using MRD negativity (either at a single pre-specified time point or defined as persistent MRD negativity over a certain time period) as a primary endpoint is that this could allow for a much earlier read-out of studies. This would facilitate study designs with smaller numbers of patients and increase the likelihood that the study outcome would be clinically relevant in the face of rapid advances in the field. The possibility of response-adaptive therapy utilizing MRD status is also intriguing. For example, while there are now multiple phase III studies and a meta-analysis demonstrating that lenalidomide maintenance post-transplant prolongs survival outcomes,40–45 the question remains whether all patients require maintenance therapy until disease progression or whether there are subsets of patients for whom maintenance is either not required or can be safely discontinued after a fixed duration of time. Alternatively, MRD status may also be incorporated into study designs such that more intensive therapy is offered for patients who are MRD-positive. These studies would need to incorporate cytogenetic risk and higher clinical stage as these demographic features have been associated with outcome.
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Immune profiling in multiple myeloma
There is a complex relationship between MM and the immune system. Thus, there is interest in determining whether specific patient immunophenotypes in blood and or bone marrow correlate with treatment outcome. Earlier studies assessed parameters such as CD4 count, absolute lymphocyte count, CD19 count, and NK cell count.46–50 There is much heterogeneity in these studies as a consequence of differences in sample source (i.e., peripheral blood vs bone marrow), timing of analysis related to treatment, and the composition of the flow cytometric panel which has made it difficult to assess these studies in aggregate. More recently, advances in MFC has enabled the development of more comprehensive immunophenotyping/immune profiling studies. Drs. McCarthy, Paiva, Weisel and Usmani reviewed the current status of IP for predicting the effect of treatment and outcomes.
Immune profiling studies in the peri-ASCT period
Dr. Saad Usmani presented work from his group. Bhutani et al. developed a 9-color panel to assess NK and NK-T polarization as well as T and B cell activation.51 This panel includes CD3 and CD56 to define NK (CD56+, CD3−), NKT (CD56+, CD3+) and T cell (CD56−, CD3+) subsets, programmed death receptor 1 (PD-1) and T-cell Ig and mucin receptor 3 (Tim3) to assess T cell activation state, and killer inhibitory Ig-like receptors (KiR2DS4, KiR3DL1), natural killer group 2 proteins (NKG2a, NKG2D) and natural killer p46 protein (NKp46) to assess NK and NK-T polarization in peripheral blood samples. Samples from 11 myeloma patients receiving lenalidomide maintenance post-transplant were analyzed. Significant heterogeneity of NK, NK-T, and T cell populations in the baseline (pre-lenalidomide) samples was noted. This work has been continued by Foureau et al., who utilized this 9-color panel, as well as multiplex protein assay to quantify inflammatory cytokines, chemokines and growth factors, to determine whether the immune profile of MRD+ patients was different from MRD negative patients sixty days post-ASCT.52 MRD negative patients more frequently displayed an inflammatory/pro-angiogenic cytokine profile and showed stronger TH1/17 immune polarization with γδ T cell activity. MRD positive patients had reduced expansion/killing potential of NK cells.
Dr. Philip McCarthy discussed work from his group on IP and MRD. Ho et al., reported on 101 myeloma patients who had comprehensive immune profiling performed prior to transplant and 100 days post-transplant.12 The immune profiling panel consisted of 20 different T-cell subsets, 8 B-cell subsets, as well as NK and dendritic cell subsets. MRD by MFC was also performed in 80 of the patients at the post-transplant time-point. This study demonstrated associations between pre-transplant CD19+ B-cell counts and survival as well as post-transplant γδ T-cells and CD4+ central memory cells and survival outcomes. Interestingly, the associations noted with the γδ T-cells and CD4+ central memory cells were primarily in those patients who were MRD-negative or did not go on to receive maintenance therapy. MRD was also examined by MFC and we found a correlation between the number of events counted by MFC and a better correlation with PFS.53 This study in conjunction with the study by Foureau et al., suggest an association between MRD status and the immunophenotype. Further research is needed to better understand whether the immunophenotype associated with MRD negativity is simply a marker of immunological health or whether the immunophenotype itself determines MRD status.
Immune profiling studies in smoldering myeloma
Immunophenotyping may be able to identify those patients with smoldering myeloma who are at higher risk for progression to active myeloma. In a study by Dosani et al., immunophenotyping was performed on peripheral blood samples from patients with MGUS, smoldering myeloma and myeloma. Dr. Bruno Paiva presented a study of patients with smoldering myeloma who eventually progressed to myeloma were found to have decreased proportions of CD57-CD56+ and CD57-CD16+ lymphocyte subsets.54 In addition, in patients with high-risk smoldering myeloma treated on the QUIREDEX55: Revlimid (Lenalidomide) and Dexamethasone (ReDex) Treatment Versus Observation in Patients With Smoldering Multiple Myeloma With High Risk of Progression were analyzed by immune profiling. At baseline patients had decreased expression of markers of T cell activation (CD25/CD28/CD54), type 1 T helper (CD195/interferon-γ/tumor necrosis factor-α/interleukin-2) and proliferation compared to age-matched healthy controls.56 Furthermore, following treatment with lenalidomide/dexamethasone, the levels of these markers were restored to normal and there was shift in the T-lymphocyte and NK-cell phenotype.56
Incorporation of immune profiling into clinical trial design
Several ongoing studies are prospectively collecting immunophenotyping data. Dr. Weisel presented the GMMG-CONCEPT (A Clinical Phase II, multicenter, open-label study evaluation induction, consolidation and maintenance treatment with isatuximab, carfilzomib, lenalidomide and dexamethasone (I-KRd) in primary diagnosed high-risk multiple myeloma patients; NCT03104842). The trial has a primary endpoint of MRD negativity (using MFC with a sensitivity of 10−5) following consolidation. As an experimental objective, immune reconstitution during maintenance with I-KR will be assessed utilizing a 16-color flow cytometry panel. This panel will be used to analyze peripheral blood and bone marrow samples for T cells (including effector, naïve, effector memory, central memory, transitional memory and regulatory), NK cells (including markers for differentiation and function), and myeloid cells. The MMY2004 study (Phase 2, randomized, open-label study comparing daratumumab, lenalidomide, bortezomib, and dexamethasone (D-RVd) versus lenalidomide, bortezomib, and dexamethasone (RVd) in subjects with newly diagnosed multiple myeloma eligible for high-dose chemotherapy and autologous stem cell transplantation; NCT02874742) has a primary endpoint of rate of stringent CR following consolidation. Secondary endpoints include MRD negativity as multiple time points throughout the trial and as an exploratory endpoint, this study is assessing immune profiling of NK, T, and B cells as well as T-cell receptor sequencing. The BMT CTN 1401 study (Phase II multicenter trial of single autologous hematopoietic transplant followed by lenalidomide maintenance for multiple myeloma with or without vaccination with dendritic cell/myeloma fusions; NCT02728102) has a number of secondary immunologic endpoints, including quantification of T cell subsets and NK cells.
Overall, we may speculate that immune profiling may have the potential to serve as a predictive biomarker in several settings. For example, it is possible that the immune phenotype at diagnosis could be used to identify the induction regimen predicted to have the best depth of response. In the maintenance setting, it is possible that the immune profile could be used to guide decisions regarding the choice of maintenance therapy as well as the duration of maintenance therapy. It is critical that immune phenotyping become incorporated into as many prospective studies as possible. In addition, emphasis needs to be placed on developing standardized panels by which to assess the immune
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phenotype such that the results from these studies can be more easily compared.
Milestones and Deliverables
This working group plans to continue to hold annual meetings to discuss the implementation of MRD and IP assessment. Goals for the future include updating the study of MRD as an endpoint for clinical trials and for clinical decision making. A MRD consortium: the International Independent Team for Endpoint Approval of Myeloma MRD (i2 TEAMM) is developing a meta-analysis based on primary source data to be provided by investigators examining MRD in randomized Phase III trials. This meta-analysis will be submitted to the FDA for the designation of MRD as a surrogate endpoint for PFS/OS. Other initiatives will the presentation of new techniques for MRD and IP testing. In particular, the use of peripheral blood for testing for MRD is an attractive alternative to bone marrow sampling. A major goal for IP is the development of standardized panels for study comparisons. Standardization of flow cytometric and molecular testing for MRD continues to advance so as to allow for study comparisons and meta analysis.
Conclusion
Treatment options for multiple myeloma are rapidly increasing, accompanied by the opportunity to achieve very deep responses, including MRD negativity. In aggregate, the available data regarding MRD status have demonstrated that achievement of MRD negativity is associated with improved survival outcomes. However, whether MRD negativity can be used as a surrogate endpoint or to determine treatment strategies remains unknown and it is imperative that clinical trials be designed to address these issues. In 2014, the FDA-NCI Roundtable Symposium on Flow Cytometry Detection of Minimal Residual Disease in Multiple Myeloma concluded that MRD should be considered for regulatory purposes, including drug approval, and therefore consensus guidelines needed to be developed.10 There has been substantial effort devoted to the development of standardized assessment of MRD, including published consensus guidelines,7 however currently we do not recommend that MRD status be used to determine treatment decisions outside of the context of clinical trials. Given the complex relationship between myeloma and the immune microenvironment, as well as the increasing number of drugs that modulate the immune system, it is not surprising that immune profiling studies have revealed associations between immune signatures and survival outcomes. Further research is needed to determine whether the immunophenotype could be used as a predictive biomarker. Routine incorporation of immune profiling into prospective clinical trials is therefore critical, as are efforts to standardize this assessment. The overall goal for studies utilizing MRD and immune profiling is to allow for personalized treatments for patients that results in optimal responses and long-term survival.
Supplementary Material
Table 2.
Study and reference | Patient Population | MRD methodology | Outcome |
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GEM2000; Paiva et al.14 | Day 100 post-ASCT | MFC | MRD negativity associated with improved PFS and OS |
GEM2000/GEM2005; Paiva et al.15 | Day 100 post-ASCT | MFC | MRD positivity associated with loss of CR status |
MRC Myeloma IX; Rawstron et al.16 | Day 100 post-ASCT | MFC | MRD negativity associated with improved PFS and OS |
MRC Myeloma IX; de Tute et al.17 | Post-induction | MFC | Impact of MRD negativity is independent of induction regimen |
IFM 2009; Attal et al.3 | Post-consolidation or post-maintenance | MFC | MRD negativity associated with improved PFS |
IFM 2009; Avet-Loiseau et al.34 | Post-maintenance | NGS | MRD negativity associated with improved 3-yr PFS |
Chakraborty et al.18 | Day 100 post-ASCT | MFC | MRD negativity associated with improved PFS and OS |
GEM05>65y; Paiva et al.19 | Post-induction, ASCT ineligible | MFC | MRD negativity associated with improved PFS |
PETHEMA/GEM trials; Lahuerta et al.20 | Nine months post-enrollment | MFC | MRD negativity associated with improved PFS and OS |
Paiva et al.22 | Relapsed/refractory | MFC | MRD negativity associated with improved TTP |
POLLUX; Dimopoulos et al.23 | Relapsed/refractory | NGS | MRD negativity associated with improved PFS |
POLLUX/CASTOR; Avet-Loiseau et al.37 | Relapsed/refractory | NGS | MRD negativity associated with fewer PFS events |
EMN02/HO95; Oliva et al.24 | Prior to maintenance | MFC | MRD negativity associated with improved 3-yr PFS |
Highlights.
Review and recommendations from the BMT CTN Myeloma Intergroup MRD/IP workshop.
Achievement of MRD negativity is associated with improved outcomes.
Centers should follow IMWG consensus guidelines for MRD assessment.
Efforts are needed to standardize immunophenotyping/immune profiling studies.
Acknowledgments
Support for the Blood and Marrow Transplant Clinical Trials Network was provided by grant #U10HL069294 from the National Heart, Lung, and Blood Institute (NHLBI) and the National Cancer Institute. Support for the PRIMeR ancillary study was provided by NHLBI grant # R01HL107213.
Footnotes
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Conflict of Interest:
SAH: has served on advisory boards and received honoraria from Celgene, Amgen, and Takeda.
HAL: has served as a consultant for Amgen, Celgene, Sanofi, and Janssen.
TH: has received research funding from Celgene
CMH: Nothing to disclose
JGL: Nothing to disclose
NCM: has served as a consultant for Celgene, Pfizer, Merck, Oncopep, and Takeda and has equity ownership in Oncopep.
BP: Nothing to disclose
MCP: Nothing to disclose
JDT: Nothing to disclose
SZU: has served on Speakers Bureaus for Onyx, Celgene, Millennium, Novartis, Sanofi, and BioPharma, has served as a consultant for Amgen, Celgene, Sanofi, and Takeda, and has received honoraria from Array, Bristol-Myers Squibb, Janssen, and Pharmacyclics.
PKW: Nothing to disclose
KW: has received institutional research funding from Amgen, Celgene, and Sanofi.
PLM: has received honoraria from Bristol-Myers Squibb, Celgene, Sanofi-Aventis, Takeda, Binding Site, research funding from Celgene, and has served on advisory committees/review panels/board membership for Bristol-Myers Squibb, Celgene, Sanofi-Aventis, Takeda, Binding Site, Karyopharm
References
- 1.Landgren O, Iskander K. Modern multiple myeloma therapy: deep, sustained treatment response and good clinical outcomes. J Intern Med. 2017;281(4):365–382. doi: 10.1111/joim.12590. e-pub ahead of print 2017/02/17. [DOI] [PubMed] [Google Scholar]
- 2.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(25):2712–2717. doi: 10.1200/jco.2013.54.8164. e-pub ahead of print 2014/07/16. [DOI] [PubMed] [Google Scholar]
- 3.Attal M, Lauwers-Cances V, Hulin C, Leleu X, Caillot D, Escoffre M, et al. Lenalidomide, Bortezomib, and Dexamethasone with Transplantation for Myeloma. N Engl J Med. 2017;376(14):1311–1320. doi: 10.1056/NEJMoa1611750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Roussel M, Lauwers-Cances V, Robillard N, Belhadj K, Facon T, Garderet L, et al. Frontline therapy with carfilzomib, lenalidomide, and dexamethasone (KRd) induction followed by autologous stem cell transplantation, Krd consolidation and lenalidomide maintenance in newly diagnosed multiple myeloma (NDMM) patients: primary results of the Intergroupe Francophone Du Myelome (IFM) Krd Phase II study. Blood (ASH Abstracts) 2016 abstract 1142. [Google Scholar]
- 5.Zimmerman T, Raje NS, Vij R, Reece D, Berdeja JG, Stephens LA, et al. Final results of a phase II trial of extended treatment (tx) with carfilzomib (CFZ), lenalidomide (LEN), and dexamethasone (KRd) plus autologous stem cell transplantation (ASCT) in newly diagnosed multiple myeloma (NDMM) Blood (ASH Abstracts) 2016 Abstract 675. [Google Scholar]
- 6.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(1):28–35. doi: 10.1001/jamaoncol.2016.3160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.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(8):e328–346. doi: 10.1016/S1470-2045(16)30206-6. [DOI] [PubMed] [Google Scholar]
- 8.Flores-Montero J, de Tute R, Paiva B, Perez JJ, Bottcher S, Wind H, et al. Immunophenotype of normal vs. myeloma plasma cells: Toward antibody panel specifications for MRD detection in multiple myeloma. Cytometry B Clin Cytom. 2016;90(1):61–72. doi: 10.1002/cyto.b.21265. [DOI] [PubMed] [Google Scholar]
- 9.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 doi: 10.1038/leu.2017.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Landgren O, Gormley N, Turley D, Owen RG, Rawstron A, Paiva B, et al. Flow cytometry detection of minimal residual disease in multiple myeloma: Lessons learned at FDA-NCI roundtable symposium. Am J Hematol. 2014;89(12):1159–1160. doi: 10.1002/ajh.23831. e-pub ahead of print 2014/08/19. [DOI] [PubMed] [Google Scholar]
- 11.Botta C, Di Martino MT, Ciliberto D, Cuce M, Correale P, Rossi M, et al. A gene expression inflammatory signature specifically predicts multiple myeloma evolution and patients survival. Blood Cancer J. 2016;6(12):e511. doi: 10.1038/bcj.2016.118. e-pub ahead of print 2016/12/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.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 Advances. 2017;1(15):1056–1066. doi: 10.1182/bloodadvances.2017005447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.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(25):3165–3174. doi: 10.1182/blood-2016-03-705319. e-pub ahead of print 2016/04/28. [DOI] [PubMed] [Google Scholar]
- 14.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(10):4017–4023. doi: 10.1182/blood-2008-05-159624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Paiva B, Gutierrez NC, Rosinol L, Vidriales MB, Montalban MA, Martinez-Lopez J, et al. 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. 2012;119(3):687–691. doi: 10.1182/blood-2011-07-370460. [DOI] [PubMed] [Google Scholar]
- 16.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(20):2540–2547. doi: 10.1200/JCO.2012.46.2119. [DOI] [PubMed] [Google Scholar]
- 17.de Tute RM, Rawstron AC, Gregory WM, Child JA, Davies FE, Bell SE, et al. Minimal residual disease following autologous stem cell transplant in myeloma: impact on outcome is independent of induction regimen. Haematologica. 2016;101(2):e69–71. doi: 10.3324/haematol.2015.128215. e-pub ahead of print 2015/10/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Chakraborty R, Muchtar E, Kumar SK, Jevremovic D, Buadi FK, Dingli D, et al. Impact of Post-Transplant Response and Minimal Residual Disease on Survival in Myeloma with High-Risk Cytogenetics. Biol Blood Marrow Transplant. 2017;23(4):598–605. doi: 10.1016/j.bbmt.2017.01.076. e-pub ahead of print 2017/01/25. [DOI] [PubMed] [Google Scholar]
- 19.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(12):1627–1633. doi: 10.1200/JCO.2010.33.1967. [DOI] [PubMed] [Google Scholar]
- 20.Lahuerta JJ, Paiva B, Vidriales MB, Cordon L, Cedena MT, Puig N, et al. Depth of Response in Multiple Myeloma: A Pooled Analysis of Three PETHEMA/GEM Clinical Trials. J Clin Oncol. 2017;35(25):2900–2910. doi: 10.1200/JCO.2016.69.2517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Landgren O, Devlin S, Boulad M, Mailankody S. Role of MRD status in relation to clinical outcomes in newly diagnosed multiple myeloma patients: a meta-analysis. Bone Marrow Transplant. 2016;51(12):1565–1568. doi: 10.1038/bmt.2016.222. e-pub ahead of print 2016/09/07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Paiva B, Chandia M, Puig N, Vidriales MB, 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(2):e53–55. doi: 10.3324/haematol.2014.115162. e-pub ahead of print 2014/11/09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.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(14):1319–1331. doi: 10.1056/NEJMoa1607751. e-pub ahead of print 2016/10/06. [DOI] [PubMed] [Google Scholar]
- 24.Oliva S, Hofste op Bruinink D, Rlhova L, Spada S, van der Holt B, Troia R, et al. Minimal residual disease (MRD) monitoring by multiparameter flow cytometry (MFC) in newly diagnosed transplant eligible multiple myeloma (MM) patients: results from the EMN02/HO95 phase 3 trial. J Clin Oncol. 2017;35(suppl) abstr 8011. [Google Scholar]
- 25.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 Advances. 2017;1(12):728–732. doi: 10.1182/bloodadvances.2016003715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Soh KT, Tario JD, Jr, Wallace PK. Diagnosis of Plasma Cell Dyscrasias and Monitoring of Minimal Residual Disease by Multiparametric Flow Cytometry. Clin Lab Med. 2017;37(4):821–853. doi: 10.1016/j.cll.2017.08.001. e-pub ahead of print 2017/11/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pont SRd, Cleynen A, Fontan C, Attal M, Munshi N, Corre J, et al. Genomics of Multiple Myeloma. Journal of Clinical Oncology. 2017;35(9):963–967. doi: 10.1200/jco.2016.70.6705. [DOI] [PubMed] [Google Scholar]
- 28.Bolli N, Avet-Loiseau H, Wedge DC, Van Loo P, Alexandrov LB, Martincorena I, et al. Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nat Commun. 2014;5:2997. doi: 10.1038/ncomms3997. e-pub ahead of print 2014/01/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.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(2):391–397. doi: 10.1038/leu.2013.217. [DOI] [PubMed] [Google Scholar]
- 30.Oliva S, Gambella M, Gilestro M, Muccio VE, Gay F, Drandi D, et al. Minimal residual disease after transplantation or lenalidomide-based consolidation in myeloma patients: a prospective analysis. Oncotarget. 2017;8(4):5924–5935. doi: 10.18632/oncotarget.12641. e-pub ahead of print 2016/10/26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Putkonen M, Kairisto V, Juvonen V, Pelliniemi TT, Rauhala A, Itala-Remes M, et al. Depth of response assessed by quantitative ASO-PCR predicts the outcome after stem cell transplantation in multiple myeloma. Eur J Haematol. 2010;85(5):416–423. doi: 10.1111/j.1600-0609.2010.01510.x. e-pub ahead of print 2010/08/21. [DOI] [PubMed] [Google Scholar]
- 32.Sarasquete ME, Garcia-Sanz R, Gonzalez D, Martinez J, Mateo G, Martinez P, et al. Minimal residual disease monitoring in multiple myeloma: a comparison between allelic-specific oligonucleotide real-time quantitative polymerase chain reaction and flow cytometry. Haematologica. 2005;90(10):1365–1372. e-pub ahead of print 2005/10/13. [PubMed] [Google Scholar]
- 33.Silvennoinen R, Lundan T, Kairisto V, Pelliniemi TT, Putkonen M, Anttila P, et al. Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma. Blood Cancer J. 2014;4:e250. doi: 10.1038/bcj.2014.69. e-pub ahead of print 2014/10/11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Avet-Loiseau H, Corre J, Lauwers-Cances V, Chretien M-L, Robillard N, Leleu X, et al. 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. 2015;126(23):191–191. [Google Scholar]
- 35.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(20):3073–3079. doi: 10.1182/blood-2014-01-550020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ladetto M, Bruggemann M, Monitillo L, Ferrero S, Pepin F, Drandi D, et al. Next-generation sequencing and real-time quantitative PCR for minimal residual disease detection in B-cell disorders. Leukemia. 2014;28(6):1299–1307. doi: 10.1038/leu.2013.375. [DOI] [PubMed] [Google Scholar]
- 37.Avet-Loiseau H, Casneuf T, Chiu C, Laubach JP, Lee J-J, Moreau P, et al. 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. 2016;128(22):246–246. [Google Scholar]
- 38.Mishima Y, Paiva B, Shi J, Park J, Manier S, Takagi S, et al. The Mutational Landscape of Circulating Tumor Cells in Multiple Myeloma. Cell Rep. 2017;19(1):218–224. doi: 10.1016/j.celrep.2017.03.025. e-pub ahead of print 2017/04/06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.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(363):363ra147. doi: 10.1126/scitranslmed.aac7037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.McCarthy PL, Owzar K, Hofmeister CC, Hurd DD, Hassoun H, Richardson PG, et al. Lenalidomide after stem-cell transplantation for multiple myeloma. N Engl J Med. 2012;366(19):1770–1781. doi: 10.1056/NEJMoa1114083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Holstein SA, Jung SH, Richardson PG, Hofmeister CC, Hurd DD, Hassoun H, et al. Updated analysis of CALGB (Alliance) 100104 assessing lenalidomide versus placebo maintenance after single autologous stem-cell transplantation for multiple myeloma: a randomised, double-blind, phase 3 trial. Lancet Haematol. 2017;4(9):e431–e442. doi: 10.1016/s2352-3026(17)30140-0. e-pub ahead of print 2017/08/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Attal M, Lauwers-Cances V, Marit G, Caillot D, Moreau P, Facon T, et al. Lenalidomide maintenance after stem-cell transplantation for multiple myeloma. N Engl J Med. 2012;366(19):1782–1791. doi: 10.1056/NEJMoa1114138. [DOI] [PubMed] [Google Scholar]
- 43.Palumbo A, Cavallo F, Gay F, Di Raimondo F, Ben Yehuda D, Petrucci MT, et al. Autologous transplantation and maintenance therapy in multiple myeloma. N Engl J Med. 2014;371(10):895–905. doi: 10.1056/NEJMoa1402888. [DOI] [PubMed] [Google Scholar]
- 44.Jackson GH, Davies FE, Pawlyn C, Cairns DA, Striha A, Collett C, et al. Lenalidomide is a highly effective maintenance therapy in myeloma patients of all ages; results of the phase III Myeloma XI study. Blood. 2016;128:1143. [Google Scholar]
- 45.McCarthy PL, Holstein SA, Petrucci MT, Richardson PG, Hulin C, Tosi P, et al. Lenalidomide Maintenance After Autologous Stem-Cell Transplantation in Newly Diagnosed Multiple Myeloma: A Meta-Analysis. J Clin Oncol. 2017 doi: 10.1200/JCO.2017.72.6679. JCO2017726679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.San Miguel JF, Gonzalez M, Gascon A, Moro MJ, Hernandez JM, Ortega F, et al. Lymphoid subsets and prognostic factors in multiple myeloma. Cooperative Group for the Study of Monoclonal Gammopathies. Br J Haematol. 1992;80(3):305–309. doi: 10.1111/j.1365-2141.1992.tb08137.x. e-pub ahead of print 1992/03/01. [DOI] [PubMed] [Google Scholar]
- 47.Ege H, Gertz MA, Markovic SN, Lacy MQ, Dispenzieri A, Hayman SR, et al. Prediction of survival using absolute lymphocyte count for newly diagnosed patients with multiple myeloma: a retrospective study. Br J Haematol. 2008;141(6):792–798. doi: 10.1111/j.1365-2141.2008.07123.x. e-pub ahead of print 2008/04/16. [DOI] [PubMed] [Google Scholar]
- 48.Kay NE, Leong T, Bone N, Kyle RA, Greipp PR, Van Ness B, et al. T-helper phenotypes in the blood of myeloma patients on ECOG phase III trials E9486/E3A93. Br J Haematol. 1998;100(3):459–463. doi: 10.1046/j.1365-2141.1998.00609.x. e-pub ahead of print 1998/03/21. [DOI] [PubMed] [Google Scholar]
- 49.Kay NE, Leong T, Kyle RA, Greipp P, Billadeau D, Van Ness B, et al. Circulating Blood B Cells in Multiple Myeloma: Analysis and Relationship to Circulating Clonal Cells and Clinical Parameters in a Cohort of Patients Entered on the Eastern Cooperative Oncology Group Phase III E9486 Clinical Trial. Blood. 1997;90(1):340–345. [PubMed] [Google Scholar]
- 50.Rueff J, Medinger M, Heim D, Passweg J, Stern M. Lymphocyte subset recovery and outcome after autologous hematopoietic stem cell transplantation for plasma cell myeloma. Biol Blood Marrow Transplant. 2014;20(6):896–899. doi: 10.1016/j.bbmt.2014.03.007. e-pub ahead of print 2014/03/19. [DOI] [PubMed] [Google Scholar]
- 51.Bhutani M, Foureau D, Cogdill T, Madden K, Zhang Q, Baxter SA, et al. Impact of Lenalidomide Maintenance Therapy on Immune Polarization and Activation in Multiple Myeloma. Blood. 2015;126(23):2966–2966. [Google Scholar]
- 52.Foureau D, Zhang Q, Cogdill TD, Wynn AS, Steuerwald NM, Druhan LJ, et al. Peripheral Immune Profile and Minimal Residual Disease (MRD) Burden Following Autologous Stem Cell Transplantation (ASCT) in Multiple Myeloma (MM) Blood. 2016;128(22):378–378. [Google Scholar]
- 53.Ammannagari N, Wallace PK, Hahn T, Zhang Y, Ho CM, McCarthy PL, et al. Evolution of Multiparametric Flow Cytometry Testing for Minimal Residual Disease Assessment in Multiple Myeloma and Its Impact on Clinical Outcomes: A Single Institution Experience. Blood. 2016;128(22):2274–2274. [Google Scholar]
- 54.Dosani T, Mailankody S, Korde N, Manasanch E, Bhutani M, Tageja N, et al. Host-related immunodeficiency in the development of multiple myeloma. Leuk Lymphoma. 2017:1–6. doi: 10.1080/10428194.2017.1361026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Mateos MV, Hernandez MT, Giraldo P, de la Rubia J, de Arriba F, Lopez Corral L, et al. Lenalidomide plus dexamethasone for high-risk smoldering multiple myeloma. N Engl J Med. 2013;369(5):438–447. doi: 10.1056/NEJMoa1300439. [DOI] [PubMed] [Google Scholar]
- 56.Paiva B, Mateos MV, Sanchez-Abarca LI, Puig N, Vidriales MB, Lopez-Corral L, et al. Immune status of high-risk smoldering multiple myeloma patients and its therapeutic modulation under LenDex: a longitudinal analysis. Blood. 2016;127(9):1151–1162. doi: 10.1182/blood-2015-10-662320. e-pub ahead of print 2015/12/17. [DOI] [PubMed] [Google Scholar]
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