Original Article | Published:


Risk of progression and survival in multiple myeloma relapsing after therapy with IMiDs and bortezomib: A multicenter international myeloma working group study

Leukemia volume 26, pages 149157 (2012) | Download Citation

  • A Corrigendum to this article was published on 09 May 2012


Promising new drugs are being evaluated for treatment of multiple myeloma (MM), but their impact should be measured against the expected outcome in patients failing current therapies. However, the natural history of relapsed disease in the current era remains unclear. We studied 286 patients with relapsed MM, who were refractory to bortezomib and were relapsed following, refractory to or ineligible to receive, an IMiD (immunomodulatory drug), had measurable disease, and ECOG PS of 0, 1 or 2. The date patients satisfied the entry criteria was defined as time zero (T0). The median age at diagnosis was 58 years, and time from diagnosis to T0 was 3.3 years. Following T0, 213 (74%) patients had a treatment recorded with one or more regimens (median=1; range 0–8). The first regimen contained bortezomib in 55 (26%) patients and an IMiD in 70 (33%). A minor response or better was seen to at least one therapy after T0 in 94 patients (44%) including partial response in 69 (32%). The median overall survival and event-free survival from T0 were 9 and 5 months, respectively. This study confirms the poor outcome, once patients become refractory to current treatments. The results provide context for interpreting ongoing trials of new drugs.


Survival of patients with multiple myeloma (MM) has improved during the past decade with the introduction of immunomodulatory drugs (IMiDs; thalidomide and lenalidomide), and the proteasome inhibitor bortezomib.1, 2, 3, 4, 5, 6, 7, 8, 9, 10 However, MM remains incurable, and new therapies are required for continued disease control. In fact, several new drugs are currently undergoing evaluation, and many appear promising based on initial results.5, 11 One of the difficulties in interpreting the early results of these newer therapies from the small single-arm studies has been the lack of information about the natural history of MM in the relapsed patient population. Although this type of information is available for patients receiving the older therapies, such data are lacking for patients relapsing after the new therapies. This information can be beneficial for development of new therapies, as early and accurate identification of the most promising treatments can allow prioritization of current clinical trials. Hence, the International Myeloma Working Group (IMWG) undertook this current study with the aim of determining the outcome of patients who have become refractory to bortezomib and at least one of the IMiDs. We also wanted to assess the types of therapy administered in this patient group and the response rates and duration of response to these treatments to establish a context for assessing the results of ongoing trials with new drugs in myeloma.

Patients and methods

Patients were identified by review of medical records at multiple centers from across the United States, Europe and Asia. Patients had to be refractory to bortezomib (administered either alone or in combination with other agents), defined as no response (less than partial response), or progression on therapy, or progression within 60 days of stopping a bortezomib-containing regimen, as per published consensus criteria. In addition, patients should have relapsed and/or were refractory, intolerant or ineligible (in the opinion of the treating physician) to receive treatment with an IMiD (thalidomide or lenalidomide). We used either one of the IMiDs instead of both IMiDs, taking into consideration the differences in availability of the two drugs in different parts of the world. The date the patient met this criteria was defined as time zero (T0). Given the goal of using these data as a benchmark for assessing future clinical trial results, we only included patients who would typically be considered for participation in a clinical trial. Hence, patients had to have ECOG performance status of 0, 1 or 2, as well as measurable disease at T0 (defined conventionally as a serum M protein 1.0 g/dl or 24 h urine M-protein excretion 200 mg or bone marrow plasma cells 30%). Patients with prior allogeneic stem cell transplantation were excluded from the study.

Clinical and laboratory data pertaining to the time of diagnosis and from the time of individual relapses were obtained from clinical records. The dates of initiation and discontinuation of each treatment regimen, as well as the reason for discontinuation were identified, with specific attention to confirmation of use and discontinuation of IMiDs and bortezomib due to emergence of resistance or toxicity. Detailed data collection sheets were developed, which were used at all the study sites for uniformity of data collection. The data were sent to a centralized area (Cancer Research And Biostatistics, Seattle, WA, USA) for analysis in a de-identified manner. Institutional Review Boards from each site approved the study and the use of patient medical records, and was conducted in accordance with the principles of the Declaration of Helsinki.

Response categories were defined according to the EBMT or IMWG criteria, and the response rate was defined as the proportion of patients achieving at least a partial response, from among those patients with valid response data. Patients who did not receive a myeloma regimen following time zero were not included in the response-rate analysis. The response rate and best response were calculated for each regimen used before and after T0. Duration of response was defined as the length of time between the date a patient first achieved a partial response or greater response level and the earlier of the dates at which criteria for progression (defined by EBMT or IMWG criteria) were met or the date of death. Patients who did not have a documented progression after achieving at least a partial response and who were still alive at last contact were censored for duration of response at the date of last contact. Patients who did not achieve a partial response or better following T0, and patients for whom the date of such response was missing, were excluded from the duration of response analysis. Duration of response was estimated using the Kaplan–Meier method with the median duration of response summarized.

Overall survival (OS) was defined as the length of time between T0 and the date of death. Patients without a recorded death date were censored for OS at their last contact date. Progression-free survival (PFS) was defined as the length of time between T0 until the earlier of the date at which criteria for progression were met or the date of death. Patients who did not have a documented progression after T0 and who did not have a recorded death date were censored for PFS at their last contact date. OS and PFS were estimated using the Kaplan–Meier method with the median survival durations summarized. Cox regression analysis was performed to determine which prognostic factors at T0 and/or at baseline correlated with improved OS or PFS from T0. Prognostic factors were dichotomized, where appropriate, using standard myeloma cutoffs. Prognostic factors with univariate P-values <0.100 were considered for inclusion in the multivariate model. The multivariate model used a stepwise selection with an entry level of P<0.10; with backwards elimination set at P<0.05.

Time to next treatment (TNT) after T0 was defined as the length of time between the start of the first regimen following T0 and the start of the second regimen following T0. Patients who started both a first and second regimen following T0, who do not have recorded start dates for these regimens, were excluded from this analysis. Patients who did not start a second regimen following T0 were censored for TNT at the date of last contact. TNT was estimated using cumulative incidence methodology, with the median TNT summarized. Death preceding the start of a second regimen following T0 was treated as a competing risk. Additional TNT estimates were generated for subsequent regimens where a sufficient number of patients have recorded start dates for the required treatment regimens. All analyses were carried out using SAS version 9.1.3.


Complete data were available on 286 patients (from among 300 patients enrolled) and were included in the current analysis. This included patients from nine sites (107 patients from three US sites; 115 from five European sites; and 64 from one Asian site). The median (range) age for the patient group was 58 years (30–85) at diagnosis and 62 (35–87) at time zero, and 176 (62%) were male. The median estimated follow-up for the entire cohort from diagnosis was 5.8 years (95% CI; 5.1, 6.3) and the median time from diagnosis to T0 was 3.3 years (range, 0.2–18.7). The baseline characteristics from diagnosis and from T0 are as shown in Table 1. The median number of regimens before T0 was 4 (range, 1–13); 81 (41%) patients had three regimens or less before reaching T0 and 45 (16%) patients had received >6 regimens by the time they reached T0. The details of the initial therapy in terms of the drugs used are included in Supplementary Table 1. In terms of prior therapy, by definition all patients had previous therapy with bortezomib and were considered refractory to bortezomib. Among them, 188 patients had relapsed on therapy while the remaining patients had either not responded or had relapsed within 60 days of discontinuing the drug. With respect to the IMiDs, 205 and 79 patients, respectively, were refractory to or ineligible for treatment with thalidomide or lenalidomide. Among the thalidomide treated patients, 135 patients had relapsed on therapy and/or were refractory, 69 patients had gone off for toxicity and were considered as intolerant, and one person was missing this information. For the lenalidomide patients, 70 had relapsed on therapy and/or were refractory, and nine were intolerant. The drug that patients were relapsing on or refractory to immediately before (or closest to) T0 was bortezomib in 73% and an IMiD in 27%.

Table 1: Baseline characteristics at diagnosis and at time zero (T0)

Initial therapy following time zero

We first examined the types of therapy that were used immediately following T0. Only 213 patients (74%) had a treatment identified in the medical records following T0 and the median time to first treatment following T0 was 0.5 months. The drugs used (alone or in combinations) for the initial treatment of the relapsed refractory disease are detailed in Table 2. Interestingly, in this group of patients who met the criteria for having bortezomib refractory disease, 55 patients (26%) received a bortezomib-containing treatment regimen immediately following T0. Bortezomib alone or with dexamethasone was the most common bortezomib-based regimen used (41%) followed by the combination of bortezomib, lenalidomide or thalidomide, and dexamethasone (17%). Thalidomide or lenalidomide was included in the initial treatment in 70 patients (32%). As would be expected, corticosteroids were part of the treatment in 157 (74%) patients, including 17 (8%) patients receiving steroids as single agents. Alkylating agents (melphalan and cyclophosphamide) was the most common class of drugs used at this stage of the disease with 97 (46%) patients receiving a regimen that contained one of these drugs. Interestingly, 22 (11%) and 25 (12%) of patients received cisplatin and etoposide, respectively, likely a reflection of the use of regimens such as DT-PACE.

Table 2: Response rate by regimen number, following time zero (T0)

Nearly a quarter of patients achieved a partial response or better to the first regimen used after T0 (50/213, 24%) including a very good partial response or better in 7% of the patients. Another 22 (7%) patients had a minor response and 36 (10%) had stable disease as their best response to the treatment. Nearly half of the patients (104; 49%) had progressive disease to the first line of therapy following T0 or a response was not assessable. The response rates and categories of responses observed are as detailed in Table 3. We also analyzed responses by regimen, based on whether patients received a regimen containing the newer drugs (bortezomib, lenalidomide or thalidomide) or not. The response rate to the first treatment regimen was 24% among the 106 patients treated with a regimen containing bortezomib, lenalidomide or thalidomide compared with 25% among the 107 patients receiving a regimen not containing one of these three drugs (Table 3). Specifically, 12 (22%) of the 55 patients receiving bortezomib as part of the first regimen after T0 had a response of partial response or better. The breakdown of the response rates and the response categories for a newer drug-containing regimen and those without these three drugs is provided in Supplementary Tables 2–4. The primary reasons for discontinuing the regimens are detailed in Supplementary Table 5. The most common reason for discontinuation of a treatment regimen was lack of response or disease progression followed by adverse event or completion of planned course of treatment. A clear reason for discontinuation could not be ascertained for about 17% of the regimens.

Table 3: Best response to regimen, by regimen number, for the initial regimens following time zero

Subsequent therapies

The subsequent drugs used for treatment within the different lines of therapy are detailed in Table 2, along with the best responses by regimen number (for the first five regimens) in Table 3. The median TNT following the first regimen after T0 was 0.5 months. Interestingly, bortezomib and the IMiDs continued to be used in the subsequent regimens in a significant proportion of patients. Overall, 75 (35%), 51 (24%) and 63 (30%) patients received bortezomib, thalidomide or lenalidomide at some point after T0. The breakdown of the response categories for the newer drug-containing regimen and those without these three drugs are provided in Supplementary Tables 2 and 3. Overall, 94 (44%) of patients had a minimal response or better including a partial response or better in 69 (32%) patients at some point during the post T0 period. The median times to achieving any degree of response are shown in Figure 1. The primary reasons for discontinuing the regimens are detailed in Supplementary Table 5 (Supplementary data).

Figure 1
Figure 1

Figure shows the time to response at any time after time zero (T0) for the different categories of responses among 213 patients who received at least one treatment after T0.

We also examined the frequency of use of high-dose therapy and stem cell transplantation in this population. There were 44 patients who received a transplant after time zero, the median time to transplant was 96 days (3 months) with the first transplant received after 5 days and the last one received after 936 days (2 years and 5 months). Half of the patients who received a transplant after T0 received it between 37 days and 203 days. Among the 44 patients receiving a transplant after T0, this was the first transplant in 16 patients (that is, no transplants were carried out before T0).

Survival outcomes

The median event-free survival for the entire cohort was 5 months (95% CI; 4, 6) from T0 and the median OS was 9 months (95% CI; 7, 11) from T0 (Figure 2). The overall survival from diagnosis for the entire cohort was 56 months (95% CI; 44, 72). The median OS for the 213 patients who received at least one regimen after T0 was 12 months (95% CI; 10,14), and for the remaining patients it was 3 months (95% CI; 2,3). We also examined the OS from T0 based on whether the patients first met criteria for bortezomib refractoriness or the IMiD criteria for inclusion in the study. The median OS from T0 was 9 months (95% CI; 7,11) for patients meeting the bortezomib criteria first, similar to 9 months (95% CI; 7,13) for patients meeting criteria for IMiDs first (P=0.44). We also separately examined the outcome from the date they became refractory to bortezomib. The median OS from the time they were considered refractory to bortezomib (as defined for the purposes of the study) was 11 months (95% CI; 10,14). Similarly, the median OS from the date patients were considered to be relapsed/refractory/ineligible to an IMiD was 22 months (95% CI; 15, 26) for lenalidomide patients and 16 months (95% CI; 14, 22) for thalidomide patients. We further examined the outcome based on whether the patients received the alternate IMiD. The median OS for lenalidomide refractory patients receiving thalidomide for salvage was 8 months and for thalidomide refractory patients receiving lenalidomide was 12 months from the start of the second IMiD, with the analysis landmarked at the start of the alternate IMiD. The median OS from the time they were refractory to any one of the novel agent (bortezomib or IMiD) was 10 months (95% CI: 7,14).

Figure 2
Figure 2

Figure shows the Kaplan–Meier curves for event-free survival (red curve, median 5 months) and overall survival (blue curve, median 9 months) from T0 for all patients (n=286) enrolled on the study.

The per regimen outcome of patients on this study is detailed in Supplementary Table 6, which provides patient disposition data in terms of treatment status and survival at various time points from T0. The numbers of patients in each successive treatment regimen who died during that regimen, received another treatment, or are still receiving that regimen are shown in the table.

Prognostic factors

We performed additional analyses to identify prognostic factors predicting event-free survival and OS following T0. Factors impacting the OS and event-free survival from T0 identified in a univariate analysis are shown in Table 4. In a multivariate model using stepwise selection that included most of these variables only B2M>5.5 mg/l at T0 (HR: 3.58; P=0.047) and albumin <3.5 mg/dl at T0 (HR: 5.62; P=0.009) were independently significant for OS. Given that B2M and serum albumin, the two components of ISS, was prognostic for survival in this patients group, we examined the outcome based on ISS stage at T0. As shown in Figure 3, the ISS stage was prognostic for overall survival following T0, with median survivals of 12, 8 and 4 months for ISS stages 1, 2 and 3, respectively. However, the ISS stage did not predict event-free survival in this group.

Table 4: Univariate analysis of prognostic factors for OS and EFS from T0
Figure 3
Figure 3

Figure shows the overall survival from T0 by ISS stage at T0.

Given that nearly 20% of the patients survive beyond 2 years, we specifically compared the baseline characteristics of those who survived beyond 2 years to those who died within 3 months of reaching T0. The results of the comparison, which is detailed in Supplementary Table 7, demonstrated significant differences between the two groups in terms of lower B2M and fewer patients with ISS stage 3 both at diagnosis and at T0, normal creatinine at T0, and at least a partial response or better before T0 among the group with longer survival.


New developments in therapy over the past decade have changed the treatment paradigm for myeloma and resulted in significant improvement in survival.9, 10, 12 However, myeloma remains incurable and new treatments are currently being studied. The results of the new drugs, especially those from the single-arm trials, should be interpreted in the context of the expected outcomes in this group of patients. However, the rapid pace of development in the area of myeloma therapy has precluded a good understanding of the outcome among patients who have exhausted the currently available therapies. The natural history of relapsed myeloma has been studied previously, but before the new drugs became available. Specifically, one study included 578 patients with newly diagnosed MM who were followed up and monitored throughout their clinical course at a single institution between 1985 and 1998.13 The OS for the 578 patients at 1, 2 and 5 years was 72%, 55%, and 22%, respectively; the median OS from initial therapy was 28.4 months. The median OS of 355 patients who had relapsed at the time of the analysis was 17.1 months from initiation of the second therapy, and 84% died within 5 years. This study revealed decreasing response duration with increasing number of salvage regimens, likely reflecting acquired drug resistance. The median survival of patients who had three previous therapies in the initial trials of bortezomib for similar patients was 12 months compared with the 5 months seen in that study demonstrating clinically relevant activity for the drug.14 Similarly, the overall survival of heavily pre-treated patients in the initial study of thalidomide demonstrated a 58% overall survival at 12 months, again demonstrating improvement over historical data.15 However, with the improved survival due to the widespread use of IMiDs and bortezomib these data are no longer reflective of the current practice.

It is important to understand the clinical course of patients, who have become refractory to one or more of these agents and hence our study was focused on patients considered refractory to bortezomib and at least one of the IMiDs. However, these drug scan be used in combination with a variety of agents, giving rise to multitude of regimens and detailed information regarding the specific combinations these drugs were part of is not available. In the current study, we specifically enrolled patients who would be considered eligible for a clinical trial, by restricting to patients with good performance status and those with measurable disease at the point at which they would be considered refractory to bortezomib and to one of the IMiDs. The definitions for refractory disease were based on the recommendations of the ASH/FDA Panel on clinical endpoints in myeloma.16 Patients eligible for clinical trials generally have better survival outcomes irrespective of diseases being studied17, 18 which does limit the generalizability of the results to the myeloma patient population as a whole; but at the same time allows better comparison with the current clinical trials. We also only required failure of either one of the IMiDs to be eligible for the study, taking into account the varied availability/accessibility of the two drugs in different parts of the world. By incorporating patients from several large centers from different geographical regions, similar to what is often seen in the large multicenter trials, we hoped to overcome the effect of heterogeneity of clinical practice. By using a uniform approach, we have therefore sought to minimize the heterogeneity in reporting that can happen in a multicenter study.19, 20

One of the most striking findings in our study has been the response rates seen in this patient population with the first regimen used after they become refractory to the new drugs. The overall response seen in a third of the patients can be due to several factors. With the advent of the new drugs, older drugs such as alkylators are increasingly being relegated to later stages of disease. It has been shown in the setting of transplant, that patients relapsing after IMiD therapy can obtain comparable response duration with delayed transplant as with early transplant suggesting preservation of sensitivity of tumor cells to alkylators.21 In fact, alkylators were the most common drugs used for treatment of patients once they stopped responding to the newer drugs in the current study. In addition, transplant is increasingly being used later in the disease course, as is second transplants as salvage therapy. In fact in the current study nearly 20% of patients received a transplant after T0, a third of which were first time transplants. Finally, many of the new drugs can be used again in patients who initially responded but had stopped responding to it, with variable degrees of responses.22 Bortezomib has activity with retreatment 22, 23, 24, 25 and lenalidomide has significant activity in thalidomide refractory population.6 As in this study, many of the current clinical trials include a similar mix of patients and the response rates seen in these phase 2 trials and in phase 3 trials utilizing standard of care for the control arm should be considered in the context of these findings. In contrast to previous studies, we do not see a progressive decline in response rates and duration of response.13 This may be a reflection of increasing treatment choices that are available compared with a decade ago when alkylating agents and steroids formed the basis of myeloma treatment.26 Also, some degree of selection bias leading to patients with better performance status, as well as patients with more indolent disease being considered for multiple therapies cannot be excluded.

Despite the initial responses of over 30% in this group of relapsed and refractory patients, the median event-free survival of 5 months and OS of 9 months highlight the limited durability of these responses and the poor overall outcome among patients who are no longer responding to the existing newer therapies. This is consistent with recent reports showing the poor outcome of patients refractory to IMiDs even in the context of stem cell transplantation.27 Another important finding from the study was the continued value of conventional prognostic factors in this patient group. Interestingly, the ISS staging parameters B2M and serum albumin at T0 best predicted survival outcome in this group of patients and should be taken into account when comparing results between different trials. They could in fact be incorporated as stratification factors in clinical trials of new drugs.28 Unfortunately, limited data were available with respect to cytogenetic and fluorescence in situ hybridization features in the current study. However, examination of the available data suggests retained prognostic value for these characteristics. Patients with high-risk genetic abnormalities such as t(4;14), t(14;16) and hypodiploidy had shorter duration of responses and poorer OS compared with the other patients.29, 30, 31 As has been seen in previous studies in the context of newly diagnosed disease, the presence of renal insufficiency predicted poorer survival. This might to some extent reflect the lack of enrollment in clinical trials of patients with compromised renal function. Clearly the results presented here have some drawbacks, particularly the inability to study patients who are refractory to individual IMiDs, the prognostic value of all genetic risk factors in the context of specific therapies and the variations across different geographical areas based on clinical practices and drug availability. An ongoing study is recruiting additional patients to extend the current analyses.

In conclusion, the current study provides valuable insights into the natural history of myeloma after it become non-responsive to the novel therapies. Clearly there are some disadvantages with the current study, such as the inclusion of only ‘trial eligible’ patients and the lack of uniform availability of modern prognostic factors such as cytogenetic and fluorescence in situ hybridization abnormalities. However, the results provide an important reference point for comparison of the results of the ongoing phase 2 and possibly phase 3 trials of new drugs in myeloma.


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Author information

Author notes


  1. Divison of Hematology, Mayo Clinic, Rochester, MN, USA

    • S K Kumar
    •  & S V Rajkumar
  2. Division of Hemato-Oncology, Gachon University Gil Hospital, Incheon, Republic of Korea

    • J H Lee
  3. Department of Hematology, Hospital Universitario 12 de Octubre, Madrid, Spain

    • J J Lahuerta
  4. Department of Hematology, Royal Marsden Hospital, Sutton, UK

    • G Morgan
  5. Department of Medical Oncology, Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, MA, USA

    • P G Richardson
    •  & J Feather
  6. Cancer Research & Biostatistics, Seattle, WA, USA

    • J Crowley
    • , J Haessler
    •  & A Hoering
  7. Division of Hematology, University Hospital Hotel-Dieu, Nantes, France

    • P Moreau
  8. Service du Maladies du Sang, Hopital Claude Huriez, CHU Lille, France

    • X LeLeu
  9. Service D’hématologie CHU Nancy, France

    • C Hulin
  10. Department of Hematology, Erasmus MC, Rotterdam, The Netherland

    • S K Klein
    •  & P Sonneveld
  11. Medical Oncology, Hackensack University Medical Center, The Cancer Center, Hackensack, NJ, USA

    • D Siegel
  12. Hematology, Hospital Clinic, Barcelona, Spain

    • J Bladé
  13. Hematology, University of Heidelberg, Heidelberg, Germany

    • H Goldschmidt
  14. Medical Oncology, Mt. Sinai Cancer Institute, New York, NY, USA

    • S Jagannath
  15. Servico de Hematologia, Hospital Universario de Salamanca, Salamanca, Spain

    • J S Miguel
  16. University of Texas/MD Anderson Cancer Center, Houston, TX, USA

    • R Orlowski
  17. Department of Hematology, University of Torino, Torino, Italy

    • A Palumbo
  18. Department of Hematology, University of Hamburg, Hamburg, Germany

    • O Sezer
  19. Cedars-Sinai Outpatient Cancer Center at the Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA

    • B G M Durie


  1. on behalf of the International Myeloma Working Group

  2. International Myeloma Working Group

    Niels Abildgaard, Syddansk Universitet, Odense, Denmark Rafat Abonour, Indiana University School of Medicine, Indianapolis, Indiana, USA Ray Alexanian, MD Anderson, Houston, Texas, USA Melissa Alsina, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA Kenneth C. Anderson, DFCI, Boston, Massachusetts, USA Michael Attal, Purpan Hospital, Toulouse, France Hervé Avet-Loiseau, Institute de Biologie, Nantes, France Ashraf Badros, University of Maryland, Baltimore, Maryland, USA Dalsu Baris, National Cancer Institute, Bethesda, Maryland, USA Bart Barlogie, M.I.R.T. UAMS Little Rock, Arkanas, USA Régis Bataille, Institute de Biologie, Nantes, France Meral Beksaç, Ankara University, Ankara, Turkey Andrew Belch, Cross Cancer Institute, Alberta, Canada Dina Ben-Yehuda, Hadassah University Hospital, Hadassah, Israel Bill Bensinger, Fred Hutchinson Cancer Center, Seattle, Washington, USA P. Leif Bergsagel, Mayo Clinic Scottsdale, Scottsdale, Arizona, USA Jenny Bird, Bristol Haematology and Oncology Center, Bristol, UK Joan Bladé, Hospital Clinica, Barcelona, Spain Mario Boccadoro, University of Torino, Torino, Italy Michele Cavo, Universita di Bologna, Bologna, Italy Asher Chanan-Khan, Roswell Park Cancer Institute, Buffalo, New York USA Wen Ming Chen, MM Research Center of Beijing, Beijing, China Tony Child, Leeds General Hospital, Leeds, United Kingdom James Chim, Department of Medicine, Queen Mary Hospital, Hong Kong Wee-Joo Chng, National University Health System, Singapore Ray Comenzo, Tufts Medical School, Boston, Massachusetts, USA John Crowley, Cancer Research and Biostatistics, Seattle, Washington, USA William Dalton, H. Lee Moffitt, Tampa, Florida, USA Faith Davies, Royal Marsden Hospital, London, England Cármino de Souza, Univeridade de Campinas, Caminas, Brazil Michel Delforge, University Hospital Gasthuisberg, Leuven, Belgium Meletios Dimopoulos, University of Athens School of Medicine, Athens, Greece Angela Dispenzieri, Mayo Clinic, Rochester, Minnesota, USA Johannes Drach, University of Vienna, Vienna, Austria Matthew Drake, Mayo Clinic Rochester, Rochester, Minnesota, USA Brian G.M. Durie, Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, California, USA Hermann Einsele, Universitätsklinik Würzburg, Würzburg, Germany Theirry Facon, Centre Hospitalier Regional Universitaire de Lille, Lille, France Dorotea Fantl, Socieded Argentinade Hematolgia, Buenos Aires, Argentina Jean-Paul Fermand, Hopitaux de Paris, Paris, France Rafael Fonseca, Mayo Clinic Arizona, Scottsdale, Arizona, USA Gösta Gahrton, Karolinska Institute for Medicine, Huddinge, Sweden Ramón García-Sanz, University Hospital of Salamanca, Salamanca, Spain Christina Gasparetto, Duke University Medical Center, Durham, North Carolina, USA Morie Gertz, Mayo Clinic, Rochester, Minnesota, USA John Gibson, Royal Prince Alfred Hospital, Sydney, Australia Sergio Giralt, MD Anderson Cancer Center, Houston, Texas, USA Hartmut Goldschmidt, University Hospital Heidelberg, Heidelberg, Germany Philip Greipp, Mayo Clinic, Rochester, Minnesota, USA Roman Hajek, Brno University, Brno, Czech Republic Izhar Hardan, Tel Aviv University, Tel Aviv, Israel Parameswaran Hari, Medical College of Wisconsin, Milwaukee, Wisconsin, USA Jean-Luc Harousseau, Institute de Biologie, Nantes, France Hiroyuki Hata, Kumamoto University Hospital, Kumamoto, Japan Yutaka Hattori, Keio University School of Medicine, Tokyo, Japan Tom Heffner, Emory University, Atlanta, Georgia, USA Joy Ho, Royal Prince Alfred Hospital, Sydney, Australia Vania Hungria, Clinica San Germano, Sao Paolo, Brazil Shinsuke Ida, Nagoya City University Medical School, Nagoya, Japan Peter Jacobs, Constantiaberg Medi-Clinic, Plumstead, South Africa Sundar Jagannath, Mt. Sinai Cancer Institute, New York, New York, USA Hans E Johnsen, AHSIC Aarhus University, Aalbor, Denmark Hou Jian, Shanghai Chang Zheng Hospital, Shanghai, China Douglas Joshua, Royal Prince Alfred Hospital, Sydney, Australia Artur Jurczyszyn, The Myeloma Treatment Foundation, Poland Michio Kawano, Yamaguchi University, Ube, Japan Nicolaus Kröger, University Hospital Hamburg, Hamburg, Germany Shaji Kumar, Department of Hematology, Mayo Clinic, Minnesota, USA Robert A. Kyle, Department of Laboratory Med. and Pathology, Mayo Clinic, Minnesota, USA Martha Lacy, Mayo Clinic Rochester, Rochester, Minnesota, USA Juan José Lahuerta, Grupo Español di Mieloma, Hospital Universitario 12 de Octubre, Madrid, Spain Ola Landgren, National Cancer Institute, Bethesda, Maryland, USA Jacob Laubach, Dana-Farber Cancer Institute, Boston, Massachusetts, USA Jae Hoon Lee, Gachon University Gil Hospital, Incheon, Korea Xavier LeLeu, Hospital Huriez, CHRU Lille, France Suzanne Lentzsch, University of Pittsburgh, Pittsburgh, Pennsylvania, USA Henk Lokhorst, University Medical CenterUtrecht, Utrecht, The Netherlands Sagar Lonial, Emory University Medical School, Atlanta, Georgia, USA Heinz Ludwig, Wilhelminenspital Der Stat Wien, Vienna, Austria Angelo Maiolino, Rua fonte da Saudade, Rio de Janeiro, Brazil María Mateos, University of Salamanca, Salamanca, Spain Jayesh Mehta, Northwestern University, Chicago, Illinois, USA Ulf-Henrik Mellqvist, Sahlgrenska University Hospital, Gothenburg, Sweden GiamPaolo Merlini, University of Pavia, Pavia, Italy Joseph Mikhael, Mayo Clinic Arizona, Scottsdale, Arizona, USA Angelina Rodríguez Morales, Bonco Metro Politano de Sangre, Caracas, Venezuela Philippe Moreau, University Hospital, Nantes, France Gareth Morgan, Royal Marsden Hospital, London, England Hareth Nari, Karolinska University Hospital, Stockholm, Sweden Nikhil Munshi, Diane Farber Cancer Institute, Boston, Massachusetts, USA Ruben Niesvizky, Weill Medical College of Cornell University, New York, New York, USA Amara Nouel, Hospital Rutz y Paez, Bolivar, Venezuela Yana Novis, Hospital SírioLibanês, Bela Vista, Brazil Robert Orlowski, MD Anderson Cancer Center, Houston, Texas, USA Antonio Palumbo, Cathedra Ematologia, Torino, Italy Santiago Pavlovsky, Fundaleu, Buenos Aires, Argentina Linda Pilarski, University of Alberta, Alberta, Canada Raymond Powles, Leukemia & Myeloma, Wimbledon, England Noopur Raje, Massachusetts General Hospital, Boston, Massachusetts, USA S. Vincent Rajkumar, Mayo Clinic, Rochester, Minnesota, USA Donna Reece, Princess Margaret Hospital, Toronto, Canada Tony Reiman, Cross Cancer Institute, Alberta, Canada Paul G. Richardson, Dana Farber Cancer Institute, Boston, Massachusetts, USA David Roodman, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania USA Laura Rosiñol, Hospital Clinic, Barcelona, Spain Jesús San Miguel, University of Salamanca, Salamanca, Spain Orhan Sezer, Universität Hamburg, Hamburg, Germany Jatin J. Shah, MD Anderson Cancer Institute, Houston, Texas, USA John Shaughnessy, M.I.R.T. UAMS, Little Rock, Arkansas, USA Kazuyuki Shimizu, Nagoya City Midori General Hospital, Nagoya, Japan Chaim Shustik, McGill University, Montreal, Canada David Siegel, Hackensack, Cancer Center, Hackensack, New Jersey, USA Seema Singhal, Northwestern University, Chicago, Illinois, USA Pieter Sonneveld, Erasmus MC, Rotterdam, The Netherlands Andrew Spencer, The Alfred Hospital, Melbourne, Australia Edward Stadtmauer, University of Pennsylvania, Philadelphia, Pennsylvania, USA Keith Stewart, Mayo Clinic Arizona, Scottsdale, Arizona, USA Evangelos Terpos, University of Athens School of Medicine, Athens, Greece Patrizia Tosi, Italian Cooperative Group, Istituto di Ematologia Seragnoli, Bologna, Italy Guido Tricot, Huntsman Cancer Institute, Salt Lake City, Utah, USA Ingemar Turesson, SKANE University Hospital, Malmo, Sweden Ben Van Camp, Vrije Universiteit Brussels, Brussels, Belgium Brian Van Ness, University of Minnesota, Minneapolis, Minnesota, USA Ivan Van Riet, Brussels Vrija University, Brussels, Belgium Isabelle Vande Broek, Vrije Universiteit Brussels, Brussels, Belgium Karin Vanderkerken, Vrije University Brussels VUB, Brussels, Belgium Robert Vescio, Cedars-Sinai Cancer Center, Los Angeles, California, USA David Vesole, Hackensack Cancer Center, Hackensack, New Jersey, USA Anders Waage, University Hospital, Trondheim, Norway NSMG Michael Wang, MD Anderson, Houston, Texas, USA Donna Weber, MD Anderson, Houston, Texas, USA Jan Westin, Sahlgrenska University Hospital, Gothenburg, Sweden Keith Wheatley, University of Birmingham, Birmingham, United Kingdom Jeffrey Zonder, Karmanos Cancer Institute, Detroit, Michigan, USA


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Competing interests

JJL is on the Scientific advisory boards of Celgene and Janssen-Cilag. PGR and JSM are Advisory board participants for Celgene, Millenium, Johnson and Johnson. DS is on the Speakers Bureau and BD is an Advisory board participant for Celgene and Millenium. AP is an Advisory Board participant for Celgene, Johnson and Johnson. JB has received Honoraria for lectures and advisory boards from Celgene, Jansen Cilag and Grant support from Celgene and Jansen-Cilag. The remaining authors declare no conflict of interest.

Corresponding author

Correspondence to S K Kumar.

Supplementary information

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About this article

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Author’s contributions

All authors (except JC, JH, JF and AH) provided patient data and were involved in manuscript preparation. JC, JH, JF and AH were involved in the statistical analysis.

Supplementary Information accompanies the paper on the Leukemia website (http://www.nature.com/leu)

Further reading