Literature DB >> 26153365

Bortezomib, thalidomide and dexamethasone, with or without cyclophosphamide, for patients with previously untreated multiple myeloma: 5-year follow-up.

Heinz Ludwig1, Richard Greil2, Tamas Masszi3, Ivan Spicka4, Ofer Shpilberg5, Roman Hajek6, Anna Dmoszynska7, Bruno Paiva8, María-Belén Vidriales9, Graca Esteves10, Anne Marie Stoppa11, Don Robinson12, Shalini Chaturvedi13, Ozlem Ataman14, Christopher Enny13, Huaibao Feng13, Helgi van de Velde15, Luisa Viterbo16.   

Abstract

This follow-up extension of a randomised phase II study assessed differences in long-term outcomes between bortezomib-thalidomide-dexamethasone (VTD) and VTD-cyclophosphamide (VTDC) induction therapy in multiple myeloma. Newly diagnosed patients (n = 98) were randomised 1:1 to intravenous bortezomib (1·3 mg/m(2); days 1, 4, 8, 11), thalidomide (100 mg; days 1-21), and dexamethasone (40 mg; days 1-4, 9-12), with/without cyclophosphamide (400 mg/m(2); days 1, 8), for four 21-day cycles before stem-cell mobilisation/transplantation. After a median follow-up of 64·8 months, median time-to-next therapy was 51·8 and 47·9 months with VTD and VTDC, respectively. Type of subsequent therapy was similar in both arms. After adjusting for asymmetric censoring, median time to progression was not significantly different between VTD and VTDC [35·7 vs. 34·5 months; Hazard ratio (HR) 1·26, 95% confidence interval: 0·76-2·09; P = 0·370]. Five-year survival was 69·1% and 65·3% with VTD and VTDC, respectively. When analysed by minimal residual disease (MRD) status, overall survival was longer in MRD-negative versus MRD-positive patients with bone marrow-confirmed complete response (HR 3·66, P = 0·0318). VTD induction followed by transplantation provides long-term disease control and, consistent with the primary analysis, there is no additional benefit from adding cyclophosphamide. This study was registered at ClinicalTrials.gov (NCT00531453).
© 2015 The Authors. British Journal of Haematology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  minimal residual disease; multiple myeloma; transplantation

Mesh:

Substances:

Year:  2015        PMID: 26153365      PMCID: PMC4758383          DOI: 10.1111/bjh.13582

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


Bortezomib‐based triplet combinations are among the established standards of care as induction therapy for previously untreated patients with multiple myeloma (MM) who are eligible for high‐dose therapy with autologous stem cell transplantation (HDT‐ASCT) (Anderson et al, 2013; Ludwig et al, 2014). Such combinations include bortezomib plus thalidomide and dexamethasone (VTD) – a regimen which has recently been approved in the European Union, Canada and Australia – and bortezomib plus cyclophosphamide and dexamethasone (VCD), both of which are effective in previously untreated MM (Cavo et al, 2010; Reeder et al, 2010; Moreau et al, 2011; Kumar et al, 2012; Rosiñol et al, 2012a). While the benefits of triplet combinations are proven, it has not been established whether the addition of a fourth agent might further improve the activity of these combinations (Kumar et al, 2012), despite some evidence indicating the potential of quadruplet regimens (Jakubowiak et al, 2011; Palumbo et al, 2014). We conducted an open‐label, randomised non‐comparative phase II study to evaluate the efficacy and safety of VTD and VTD plus cyclophosphamide (VTDC) as induction therapy prior to HDT‐ASCT in 98 patients with previously untreated MM (Ludwig et al, 2013). Results from the primary analysis conducted after a median follow up of 33·3 months showed that both VTD and VTDC are active induction regimens, resulting in bone marrow‐confirmed complete response (CR) rates of 29% and 31% post‐induction, and 57% and 61% post‐HDT‐ASCT, respectively. We also showed that 35% of VTD and 27% of VTDC patients achieved minimal residual disease (MRD)‐negative status, which is a prognostic indicator of improved outcomes, particularly among patients achieving a ‘conventional’ CR (Korthals et al, 2012; Rawstron et al, 2013; Martinez‐Lopez et al, 2014; Puig et al, 2014). At the time of the primary analysis, no significant differences in survival outcomes were seen, suggesting no benefit from the addition of cyclophosphamide to VTD. However, as outcomes data were not mature at this analysis, with only 21% of patients having progressed and 15% having died, we now report the findings from the protocol‐specified, long‐term extension follow‐up phase of the study, which evaluated final time‐to‐event data after a median follow‐up of more than 5 years. Experience from other trials (Mateos et al, 2014; Palumbo et al, 2014) indicates that subtle differences in outcome may only become detectable after long follow‐up when the treatment impact on good risk patients becomes evident. In addition, data on subsequent MM treatment are reported, together with analyses of outcomes according to MRD status and depth of response.

Methods

Patients and study design

The design of this randomised, non‐comparative multicentre phase II study (clinicaltrials.gov identifier: NCT00531453) has been reported previously (Ludwig et al, 2013). Briefly, transplant‐eligible patients aged 18–70 years with previously untreated, measurable MM and without grade ≥2 peripheral neuropathy or neuropathic pain [National Cancer Institute Common Terminology Criteria for Adverse Events version 3.0 (http://ctep.cancer.gov/protocolDevelopment/electronic_applications/docs/ctcaev3.pdf)] were randomised [1:1, stratified by International Staging System (ISS) disease stage (Greipp et al, 2005)] to receive initial treatment with four 21‐day cycles of VTD or VTDC. Treatment comprised bortezomib 1·3 mg/m2 intravenously on days 1, 4, 8 and 11, thalidomide 100 mg orally on days 1–21 and dexamethasone 40 mg orally on days 1–4 and 9–12, with or without cyclophosphamide 400 mg/m2 intravenously on days 1 and 8. Patients who remained eligible for transplant then underwent stem cell mobilisation and single or double transplantation, while patients who had become transplant‐ineligible or had achieved a CR post‐induction could receive four additional cycles of VTD or VTDC. Institutional review boards or independent ethics committees at all participating sites approved the study, which was conducted in accordance with the International Conference on Harmonisation for Good Clinical Practice and the Declaration of Helsinki. All patients provided written informed consent.

Assessments

Responses were determined by independent review per International Myeloma Working Group (IMWG) uniform response criteria (Durie et al, 2006), with the additional response categories of CRflc [defined as CR with a normalised serum free light chain (FLC) ratio; used as a surrogate for stringent CR due to the lack of routine κ/λ bone marrow staining] and near‐CR (defined as absence of M‐protein on electrophoresis and immunofixation‐positive). Post‐transplant, patients were followed every 12 weeks until disease progression, and then every 12 weeks for survival and subsequent therapies. The primary endpoint of the study was the combined rate of CRflc plus CR and near‐CR post‐induction. Secondary endpoints included time to progression (TTP), progression‐free survival (PFS) and overall survival (OS). Additionally, an exploratory analysis of time‐to‐next therapy (TTNT; defined as the time from randomisation to the start of subsequent MM therapy or death prior to subsequent therapy) was conducted. Outcomes (PFS and OS) among patients achieving bone marrow‐confirmed CR were also investigated according to MRD status. Among patients achieving MRD‐negative status, outcomes were also investigated according to response (CRflc versus other responses). For MRD assessment, bone marrow aspirates were collected at suspected CR and, where possible, at screening. MRD status was assessed at a central laboratory in Salamanca by immunophenotyping using multiple staining combinations [CD38 (Alexa Fluor®)/‐/CD56‐PE/CD45‐AmCyan/CD19‐PerCP‐Cy5.5/CD138‐APC, and CD38/cλ‐FITC/cκ‐PE/CD45‐AmCyan/CD19‐PerCP‐Cy5.5/CD138‐APC], with the aim of identifying, quantifying and characterising plasma cells. Data were acquired in a FACSCanto™ II flow cytometer (BD Biosciences, San Jose, CA, USA), using FACS Diva™ (BD Biosciences) software to acquire information, and Infinicyt™ software (Cytognos, Salamanca, Spain) for data analysis by a central provider (Hospital Universitario de Salamanca, Spain). Samples were characterised as MRD‐positive if clonal plasma cells were detected [based on increased expression of CD19 and/or CD45 and/or increased expression of CD56, together with immunoglobulin light chain restriction (cytoplasmaticK or cytoplasmaticL)], or MRD‐negative if only normal and polyclonal plasma cells were detected.

Statistical analyses

The Kaplan–Meier method was used to estimate the distribution of time‐to‐event endpoints. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated based on a Cox's model stratified by ISS disease stage, and P‐values for differences between treatment arms and patient groups were calculated using the log‐rank test stratified by ISS disease stage. For the primary analyses of TTP and PFS, patients who were lost to follow‐up, withdrew consent or received subsequent MM therapy due to early indicators of progression, without fulfilling the standard criteria for disease progression, were censored. To mitigate the effect of asymmetric censoring between arms, sensitivity analyses of TTP and PFS were conducted in which patients who received subsequent therapy without meeting the standard IMWG criteria (Durie et al, 2006) for disease progression were regarded as having had a progression event if reported by the investigator as having ‘relapsed from CR’ or having experienced ‘clinical relapse’. All analyses were undertaken by the sponsor. All authors had access to the primary clinical trial data.

Results

Patients and follow‐up

As previously reported (Ludwig et al, 2013), a total of 98 patients were enrolled and randomised to receive VTD or VTDC (n = 49 in each arm) (see Fig S1). Median age was 57 years (range 35–65) and 58 years (range 33–68) in the VTD and VTDC arms, respectively, and 24%/45%/31% and 18%/47%/35% of patients, respectively, had ISS stage I/II/III disease. Other baseline characteristics were similarly well balanced between the arms (Ludwig et al, 2013). All patients had completed VTD or VTDC treatment at the time of the initial report of the study (Ludwig et al, 2013). In both arms, patients received a median of four treatment cycles. Forty‐eight (98%) patients in the VTD arm and 40 (82%) patients in the VTDC arm underwent HDT‐ASCT. The data cut‐off for this final pre‐specified, long‐term extension analysis was 23 September, 2013; 5 years after the last patient was randomised. The overall median follow‐up, calculated using reverse censoring, was 64·8 months in all 98 patients: 65·3 months in the VTD arm and 64·7 months in the VTDC arm. This represents an additional follow‐up of approximately 32 months in each arm, based on the medians, when compared with the initial report of the study (Ludwig et al, 2013). At the time of data cut‐off, 34 patients had died (15 VTD, 19 VTDC), 1 (2%) VTD patient was lost to follow‐up and 1 (2%) VTD patient had chosen to withdraw from study data collection (see Fig S1). Deaths were primarily due to disease progression: 10 (20%) patients in the VTD arm and 15 (31%) patients in the VTDC arm.

Long‐term outcomes

At data cut‐off for this protocol‐specified final analysis, per investigator assessment in the intent‐to‐treat population, 20/49 (41%) patients in the VTD arm and 32/49 (65%) in the VTDC arm had disease progression events in the TTP analysis, and 24/49 (49%) and 34/49 (69%) patients had PFS events (disease progression or death). Median TTP in this primary analysis was not reached with VTD versus 39·3 months with VTDC [HR 1·55 (95% CI: 0·88–2·72), P = 0·125], and 5‐year progression‐free rates were 54·1% and 30·6%, respectively (Fig 1A). Median PFS was 56·3 vs. 36·3 months with VTD versus VTDC [HR 1·37 (95% CI: 0·81–2·31), P = 0·244], and the respective 5‐year PFS rates were 47·8% and 29·1% (Fig 1C).
Figure 1

Time to progression (TTP) and progression‐free survival (PFS) with VTD and VTDC. (A) TTP per the primary analysis, with asymmetric censoring between arms. (B) TTP per the sensitivity analysis. (C) PFS per the primary analysis. (D) PFS per the sensitivity analysis. CI: confidence interval; HR: hazard ratio; NE: not estimatable; VTD, bortezomib‐thalidomide‐dexamethasone; VTDC, bortezomib‐thalidomide‐dexamethasone plus cyclophosphamide.

Time to progression (TTP) and progression‐free survival (PFS) with VTD and VTDC. (A) TTP per the primary analysis, with asymmetric censoring between arms. (B) TTP per the sensitivity analysis. (C) PFS per the primary analysis. (D) PFS per the sensitivity analysis. CI: confidence interval; HR: hazard ratio; NE: not estimatable; VTD, bortezomibthalidomidedexamethasone; VTDC, bortezomibthalidomidedexamethasone plus cyclophosphamide. Asymmetric censoring was seen between 24 and 54 months in the primary analysis of TTP/PFS. In the VTD arm, 10 patients were censored in the analysis of TTP (Fig 1A) and 8 in the analysis of PFS (Fig 1C) during this follow‐up period, compared with no patients in the VTDC arm. Of the 10 VTD patients censored in the TTP analysis, 2 were censored due to study data cut‐off and 1 was lost to follow‐up; the other 7 patients were censored due to starting subsequent therapy following a recorded ‘relapse from CR’ or ‘clinical relapse’ in the absence of investigator‐documented disease progression per IMWG criteria (Durie et al, 2006). Therefore, to mitigate the impact of this asymmetric censoring, a sensitivity analysis of TTP and PFS was conducted in which these patients were considered as having an event at the time of recorded ‘relapse from CR’ or ‘clinical relapse’. Results from the sensitivity analysis are summarised in Table 1. Using this approach, median TTP was 35·7 vs. 34·5 months with VTD and VTDC, respectively [HR 1·26 (95% CI: 0·76–2·09), P = 0·370; Fig 1B], and median PFS was 34·1 vs. 34·2 months [HR 1·20 (95% CI: 0·74–1·97), P = 0·461; Fig 1D].
Table 1

Time to progression (TTP) and progression‐free survival (PFS) per investigator assessment (sensitivity analysis), time‐to‐next therapy (TTNT) and overall survival (OS) in the VTD and VTDC arms, based on Kaplan–Meier product limit estimates

OutcomeVTD (= 49)VTDC (= 49)HR (95% CI) P a
TTP (sensitivity analysis)
Events, n (%)27 (55)35 (71)
Median (95% CI), months 35·7 (23·9–NE) 34·5 (23·5 –50·6) 1·26 (0·76–2·09) 0·370
3‐year rate, % (95% CI) 48·8 (33·9–62·1) 47·9 (33·3–61·1) NANA
5‐year rate, % (95% CI) 41·8 (27·5–55·5) 27·1 (15·5–40·0) NANA
PFS (sensitivity analysis)
Events, n (%)29 (59)36 (74)
Median (95% CI), months 34·1 (23·5–NE) 34·2 (23·5–48·2) 1·20 (0·74–1·97) 0·461
3‐year rate, % (95% CI) 46·8 (32·4–59·9) 46·9 (32·6–60·0) NANA
5‐year rate, % (95% CI) 40·1 (26·2–53·5) 26·5 (15·2 –39·3) NANA
TTNT
Events, n (%)26 (53)30 (61)
Median (95% CI), months 51·8 (31·9–NE) 47·9 (28·7–NE) 1·21 (0·71–2·05) 0·484
OS
Events, n (%)15 (31)19 (39)
Median (95% CI), months NE (NE–NE) NE (64·3–NE) 1·15 (0·58–2·27) 0·692
3‐year rate, % (95% CI) 79·6 (65·4–88·5) 83·7 (70·0–91·5) NANA
5‐year rate, % (95% CI) 69·1 (54·1–80·1) 65·3 (50·3–76·8) NANA

HR, hazard ratio; CI, confidence interval; NE: not estimable; NA: not applicable; VTD, bortezomib‐thalidomide‐dexamethasone; VTDC, bortezomib‐thalidomide‐dexamethasone plus cyclophosphamide.

Based on a stratified log‐rank test.

Time to progression (TTP) and progression‐free survival (PFS) per investigator assessment (sensitivity analysis), time‐to‐next therapy (TTNT) and overall survival (OS) in the VTD and VTDC arms, based on Kaplan–Meier product limit estimates HR, hazard ratio; CI, confidence interval; NE: not estimable; NA: not applicable; VTD, bortezomibthalidomidedexamethasone; VTDC, bortezomibthalidomidedexamethasone plus cyclophosphamide. Based on a stratified log‐rank test. To further evaluate the impact of asymmetric censoring on apparent differences in long‐term outcomes between arms, an exploratory analysis of TTNT was conducted (Table 1; Fig 2A). In this analysis, median TTNT was 51·8 vs. 47·9 months with VTD versus VTDC [HR 1·21 (95% CI: 0·71–2·05), P = 0·484], with 26 (53%) and 30 (61%) patients, respectively, having received subsequent therapy or died due to disease progression prior to receiving subsequent therapy at data cut‐off. Eight (16%) and 6 (12%) patients received at least three more lines of therapy, and 14 (29%) and 12 (25%) received at least two more lines of therapy in the VDT and VDTC treatment groups, respectively. The agents most commonly received as part of subsequent therapy included dexamethasone, lenalidomide, bortezomib, thalidomide and cyclophosphamide (Table 2). The type of subsequent therapy was similar in both treatment groups; 15 (31%) and 16 (33%) patients were retreated with bortezomib, and 9 (18%) and 8 (16%) patients were retreated with thalidomide.
Figure 2

Time‐to‐next therapy (TTNT) and overall survival (OS) with VTD and VTDC. (A) TTNT. (B) OS. CI: confidence interval; HR: hazard ratio; NE: not estimatable; VTD, bortezomib‐thalidomide‐dexamethasone; VTDC, bortezomib‐thalidomide‐dexamethasone plus cyclophosphamide.

Table 2

Agents commonly received (≥10% of patients overall) as part of subsequent therapy following VTD or VTDC

AgentVTD (= 49)VTDC (= 49)
n % n %
Any subsequent therapy24492857
Dexamethasone20412143
Lenalidomide17351633
Bortezomib15311633
Thalidomide918816
Cyclophosphamide6121020
Melphalan36816
Doxorubicin48612

VTD, bortezomib‐thalidomide‐dexamethasone; VTDC, bortezomib‐thalidomide‐dexamethasone plus cyclophosphamide.

Agents commonly received (≥10% of patients overall) as part of subsequent therapy following VTD or VTDC VTD, bortezomibthalidomidedexamethasone; VTDC, bortezomibthalidomidedexamethasone plus cyclophosphamide. Time‐to‐next therapy (TTNT) and overall survival (OS) with VTD and VTDC. (A) TTNT. (B) OS. CI: confidence interval; HR: hazard ratio; NE: not estimatable; VTD, bortezomibthalidomidedexamethasone; VTDC, bortezomibthalidomidedexamethasone plus cyclophosphamide. Median OS was not reached in either arm (Table 1; Fig 2B). Five‐year survival rates were 69·1% with VTD and 65·3% with VTDC.

Outcomes by depth of response and minimal residual disease status

To assess the relationship between depth of response and long‐term outcomes, PFS and OS were analysed in patients achieving CRflc (CR with normal FLC ratio confirmed by bone marrow plasma cells, but without bone marrow immunohistochemistry; n = 32) at any point in the study versus ≥very good partial response (VGPR) but excluding the 32 patients with CRflc (n = 48) versus VTDC arms. As expected, there was a trend for better PFS and OS in the true CR (CRflc) versus ≥VGPR versus OS was not reached in the CRflc or ≥VGPR groups, but was 66·9 months (35·0–not estimable) in the
Figure 3

Overall survival (OS) according to minimal residual disease (MRD) status and response (pooled across VTD and VTDC arms). Kaplan–Meier analyses of OS in: (A) patients who achieved CR flc, ≥VGPR but excluding the CR flc patients, or

Overall survival (OS) according to minimal residual disease (MRD) status and response (pooled across VTD and VTDC arms). Kaplan–Meier analyses of OS in: (A) patients who achieved CR flc, ≥VGPR but excluding the CR flc patients, or patients with bone marrow‐confirmed CR who were MRD‐negative or MRD‐positive; (C) MRD‐negative patients who achieved CR flc or other responses. CI: confidence interval; CR: complete response; CR flc: CR with normalized serum free light chain ratio; HR: hazard ratio; NE: not estimatable; VGPR: very good partial response; VTD, bortezomibthalidomidedexamethasone; VTDC, bortezomibthalidomidedexamethasone plus cyclophosphamide. A total of 42 patients with bone marrow‐confirmed CR were available for analysis of outcomes (PFS and OS) according to MRD status: 34 were MRD‐negative and 8 were MRD‐positive by multiparameter flow cytometry. In the primary analysis of PFS, median was not reached in MRD‐negative patients versus 38·6 months in MRD‐positive patients [HR 2·29 (95% CI: 0·87–6·04), P = 0·085]. Per the PFS sensitivity analysis, respective medians were 46·9 versus 38·6 months [HR 1·51 (95% CI: 0·61–3·77), P = 0·373]. OS was longer in MRD‐negative versus MRD‐positive patients [median not reached in either group; HR 3·66 (95% CI: 1·03–13·01), P = 0·032; Fig 3B]. Including those patients who achieved <CR, 42 patients achieved MRD‐negative status across the VTD and VTDC groups. Twenty‐four of these patients had a best response of CRflc, 14 had a response of CR (bone marrow‐confirmed) and 4 had a response of <CR [1 near complete response (nCR), 1 VGPR, 2 PR]. PFS and OS were evaluated in the 24 MRD‐negative CRflc patients versus the 18 MRD‐negative patients achieving ≤CR. In the primary analysis of PFS, median was not reached versus 59·9 months in MRD‐negative CRflc versus ≤CR patients, respectively [HR 1·01 (95% CI: 0·40–2·57), P = 0·982]; in the sensitivity analysis, median PFS was 46·9 versus 55·8 months [HR 0·97 (95% CI: 0·44–2·14), P = 0·941]. Median OS was not reached in either group of MRD‐negative patients [HR 0·56 (95% CI: 0·15–2·09), P = 0·381; Fig 3C].

Safety

There were no new adverse events reported in the study database since the initial report of the study. In addition, no second primary malignancies were reported during the long‐term extension phase.

Discussion

At a median follow‐up of 64·5 months, equating to nearly 3 years of additional follow‐up compared with the primary analysis, data from this phase II extension study (Ludwig et al, 2013) demonstrate that VTD or VTDC induction followed by HDT‐ASCT provides long‐term disease control for patients with previously untreated MM. Across both treatment arms, median time until patients required second‐line therapy was approximately 4 years and approximately two‐thirds of patients were alive at 5 years post‐randomisation. Consistent with the primary analysis (Ludwig et al, 2013), there were no statistically significant differences in long‐term outcomes between the two treatment arms, and outcomes (TTP and PFS) were numerically very similar once asymmetric censoring had been accounted for. A total of 42 (43%) patients achieved MRD‐negativity, highlighting the high activity of the VTD and VTDC induction protocols used here. In the prognostic analyses, patients who achieved MRD‐negativity had particularly promising outcomes, with 5‐year OS rates of approximately 80% and significantly better median OS (HR 3·66, P = 0·032) than patients who remained MRD‐positive. Achievement of CRflc versus ‘standard’ CR or less, however, did not confer additional prognostic significance in MRD‐negative patients. The current analysis thus suggests that MRD‐negativity (versus MRD‐positivity) may be a stronger prognostic marker for OS than bone marrow‐confirmed CRflc [versus other responses (CR/nCR/VGPR/PR)]. Despite a lack of statistically significant differences, the numerical differences in TTP and PFS between the two treatment arms prompted us to check for potential confounding factors. It was observed that there was a marked difference between the two arms in the number of patients who were censored between 24 and 54 months’ follow‐up. This ‘asymmetric censoring’ was caused predominantly by VTD patients receiving subsequent therapy due to ‘relapse from CR’ or ‘clinical relapse’ before they had been recorded as having progressive disease per IMWG criteria (Durie et al, 2006). To account for this censoring imbalance, and potential limitation of the study, TTP and PFS analyses were re‐run so that these patients were considered as having an event at the time of recorded ‘relapse from CR’ or ‘clinical relapse’. Using this approach, the sensitivity analyses revealed very similar median TTP and PFS durations in the VTD and VTDC treatment arms [median TTP, 35·7 vs. 34·5 months (HR 1·26, P = 0·370); median PFS 34·1 vs. 34·2 months (HR 1·20, P = 0·461), respectively]. The findings of the exploratory analysis of TTNT [median 51·8 vs. 47·9 months (HR 1·21, P = 0·484)] were also consistent both with those seen in the sensitivity analyses of TTP and PFS, and with the lack of difference in OS between arms, supporting the finding of no meaningful differences in long‐term outcomes between the two treatment arms. Additionally, the number and type of subsequent lines of therapy were similar in both treatment groups. Our findings of high activity of VTD induction (Ludwig et al, 2013) that persists over the long term are consistent with results reported for the VTD regimen in the Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA) MMY‐3006 (Cavo et al, 2010, 2012, 2013) and Programa para el Estudio de la Terapéutica en Hemopatías Malignas/Grupo Español de MM (PETHEMA/GEM) phase III (Rosiñol et al, 2012a,b) trials in newly diagnosed MM, and confirm VTD as one of the most clinically active regimens in this setting. This is supported by a recent meta‐analysis showing significant superiority of VTD over VCD, both in terms of activity and of tolerance (Leiba et al, 2014), and by a retrospective comparison of the VTD and VCD arms of large European trials (Cavo et al, 2014). High activity has also been reported with other proteasome inhibitor‐based triplet induction regimens, such as bortezomibdoxorubicindexamethasone (PAD) (Sonneveld et al, 2012, 2013), bortezomiblenalidomidedexamethasone (VRD) (Kumar et al, 2012), and carfilzomiblenalidomidedexamethasone (Jakubowiak et al, 2012). In the present extension study, addition of a fourth agent, cyclophosphamide, to the VTD triplet did not result in any improvement in efficacy, which is in accordance with the primary analysis data (Ludwig et al, 2013). This observation is also supported by evidence from a previous study, in which a quadruplet regimen incorporating lenalidomide instead of thalidomide [VRD‐cyclophosphamide (VRDC)] was found to yield similar outcomes to triplet induction therapy (VCD or VRD) in previously untreated, transplant‐eligible patients with MM (Kumar et al, 2012). In contrast, data from a randomised study conducted in newly diagnosed, transplant‐ineligible patients suggested that the quadruplet regimen of VMPthalidomide (VMPT) may be associated with better outcomes (CR rate, PFS, TTNT and OS) than VMP alone (Palumbo et al, 2014). However, not only were these findings in transplant‐ineligible patients, it should also be noted that VMPT induction was followed by maintenance with bortezomibthalidomide, whereas no maintenance was used in the VMP arm, and the induction responses were not consolidated with transplantation. Furthermore, when the data were first published after a median follow‐up of 23·2 months, no difference in OS was noted (Palumbo et al, 2010). Survival curves diverged significantly only after prolonged follow‐up (median 54 months) (Palumbo et al, 2014), indicating the importance of long‐term observation for conclusive evaluation of the impact of a treatment strategy. VMPT was also less well tolerated than VMP (Palumbo et al, 2014). Multiparameter flow cytometry is a highly sensitive technique for evaluation of MRD in MM that seems to offer similar sensitivity to the polymerase chain reaction (Hart et al, 2012; Martinez‐Lopez et al, 2014; Puig et al, 2014). The flow‐MRD assay used here benefited from a 6‐colour approach that confirmed the clonal nature (through light‐chain restriction) of phenotypically aberrant plasma cells. Using this technique, we showed that MRD‐negative patients had significantly longer OS than those who were MRD‐positive, a finding supported by data from other recent studies in the literature (Korthals et al, 2012; Rawstron et al, 2013; Martinez‐Lopez et al, 2014; Puig et al, 2014). Current efforts are now underway to develop an automated flow‐MRD method based on 10‐colour approaches, with similar sensitivity to next‐generation sequencing techniques. The similar PFS or OS among MRD‐negative patients achieving CRflc versus lower responses confirms the superiority of MRD as a marker for long‐term outcomes in newly diagnosed MM over achievement of a true CR, which requires negative immunofixation. As the detection limit of this technique is around 150 mg/l (Tate et al, 2009), the presence of a substantial number of myeloma cells may be missed. Alternatively, M‐protein may be detectable due to the unusually long half‐life of certain M‐proteins, with recycling of IgG by IgG FcRn receptors (Mead et al, 2004; Paiva et al, 2011) being one potential cause of this phenomenon. In summary, our long‐term follow‐up data support the notion that three‐drug bortezomib‐based induction regimens are the most appropriate therapies for previously untreated, transplant‐eligible MM. They also confirm VTD as a highly active regimen, providing high response rates and notable long‐term outcome data following a limited period of induction therapy of only four cycles. Lastly, these analyses support the prognostic benefit of achieving MRD‐negative status and the importance of this as a goal of first‐line therapy in MM.

Authorship contributions

Contribution: HL and HvDV designed the research; HL, RG, TM, IS, OS, RH, AD, BP, M‐BV, GE, AMS, DR, SC, OA, CE, HB, HvDV and LV performed the research; HL, RG, TM, IS, OS, RH, AD, BP, M‐BV, GE, AMS and LV collected data; SC, OA and HF performed the statistical analysis; HL, BP, DR, SC, OA, CE, HB and HvdV analysed and interpreted the data; and HL, SC, OA, HF and HvDV wrote the manuscript. All authors reviewed the draft manuscript, and approved the final version for submission.

Conflicts of interest

HL: Honoraria and research funding (Janssen‐Cilag, Celgene, Millenium). RG: Consultant/advisory role (Mundipharma); honoraria (Celgene, Mundipharma). TM: Board membership (Janssen‐Cilag). IS: Board membership (Celgene), consultancy (Celgene, Janssen‐Cilag), research funding (Celgene), honorarium (Celgene, Janssen‐Cilag, Novartis, Amgen). OS: Nothing to disclose. RH: Consultancy (Celgene, Merck, Janssen). AD: Honoraria (Janssen‐Cilag). BP: Honoraria (Millennium, Janssen, Celgene, and The Binding Site). M‐BV: Nothing to disclose. GE: Consultancy (Janssen, Celgene); honoraria (Janssen, Celgene). AMS: Nothing to disclose. DR: Employment (Janssen Global Services, LLC). SC: Employment (Janssen Research & Development, LLC), holds stock (Johnson & Johnson). OA: Employment (Janssen‐Cilag Limited). CE: Employment (Janssen Research & Development, LLC), holds stock (Johnson & Johnson). HF: Employment (Janssen Research & Development, LLC). HvdV: Employment (Janssen Pharmaceutica NV), holds stock (Johnson & Johnson). LV: Nothing to disclose. Fig S1. Updated CONSORT diagram showing patient flow through the study. Click here for additional data file. Click here for additional data file.
  26 in total

1.  Bortezomib induction and maintenance treatment in patients with newly diagnosed multiple myeloma: results of the randomized phase III HOVON-65/ GMMG-HD4 trial.

Authors:  Pieter Sonneveld; Ingo G H Schmidt-Wolf; Bronno van der Holt; Laila El Jarari; Uta Bertsch; Hans Salwender; Sonja Zweegman; Edo Vellenga; Annemiek Broyl; Igor W Blau; Katja C Weisel; Shulamiet Wittebol; Gerard M J Bos; Marian Stevens-Kroef; Christof Scheid; Michael Pfreundschuh; Dirk Hose; Anna Jauch; Helgi van der Velde; Reinier Raymakers; Martijn R Schaafsma; Marie-Jose Kersten; Marinus van Marwijk-Kooy; Ulrich Duehrsen; Walter Lindemann; Pierre W Wijermans; Henk M Lokhorst; Hartmut M Goldschmidt
Journal:  J Clin Oncol       Date:  2012-07-16       Impact factor: 44.544

2.  Bortezomib-melphalan-prednisone-thalidomide followed by maintenance with bortezomib-thalidomide compared with bortezomib-melphalan-prednisone for initial treatment of multiple myeloma: updated follow-up and improved survival.

Authors:  Antonio Palumbo; Sara Bringhen; Alessandra Larocca; Davide Rossi; Francesco Di Raimondo; Valeria Magarotto; Francesca Patriarca; Anna Levi; Giulia Benevolo; Iolanda Donatella Vincelli; Mariella Grasso; Luca Franceschini; Daniela Gottardi; Renato Zambello; Vittorio Montefusco; Antonietta Pia Falcone; Paola Omedé; Roberto Marasca; Fortunato Morabito; Roberto Mina; Tommasina Guglielmelli; Chiara Nozzoli; Roberto Passera; Gianluca Gaidano; Massimo Offidani; Roberto Ria; Maria Teresa Petrucci; Pellegrino Musto; Mario Boccadoro; Michele Cavo
Journal:  J Clin Oncol       Date:  2014-01-21       Impact factor: 44.544

3.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

4.  Bortezomib with thalidomide plus dexamethasone compared with thalidomide plus dexamethasone as induction therapy before, and consolidation therapy after, double autologous stem-cell transplantation in newly diagnosed multiple myeloma: a randomised phase 3 study.

Authors:  Michele Cavo; Paola Tacchetti; Francesca Patriarca; Maria Teresa Petrucci; Lucia Pantani; Monica Galli; Francesco Di Raimondo; Claudia Crippa; Elena Zamagni; Antonio Palumbo; Massimo Offidani; Paolo Corradini; Franco Narni; Antonio Spadano; Norbert Pescosta; Giorgio Lambertenghi Deliliers; Antonio Ledda; Claudia Cellini; Tommaso Caravita; Patrizia Tosi; Michele Baccarani
Journal:  Lancet       Date:  2010-12-09       Impact factor: 79.321

5.  Bortezomib plus dexamethasone versus reduced-dose bortezomib, thalidomide plus dexamethasone as induction treatment before autologous stem cell transplantation in newly diagnosed multiple myeloma.

Authors:  Philippe Moreau; Herve Avet-Loiseau; Thierry Facon; Michel Attal; Mourad Tiab; Cyrille Hulin; Chantal Doyen; Laurent Garderet; Edouard Randriamalala; Carla Araujo; Gérard Lepeu; Gerald Marit; Denis Caillot; Martine Escoffre; Bruno Lioure; Lotfi Benboubker; Brigitte Pégourié; Brigitte Kolb; Anne Marie Stoppa; Jean-Gabriel Fuzibet; Olivier Decaux; Mamoun Dib; Christian Berthou; Carine Chaleteix; Catherine Sebban; Catherine Traullé; Jean Fontan; Marc Wetterwald; Pascal Lenain; Claire Mathiot; Jean-Luc Harousseau
Journal:  Blood       Date:  2011-08-17       Impact factor: 22.113

6.  Comparison of immunofixation, serum free light chain, and immunophenotyping for response evaluation and prognostication in multiple myeloma.

Authors:  Bruno Paiva; Joaquin Martinez-Lopez; Maria-Belen Vidriales; Maria-Victoria Mateos; Maria-Angeles Montalban; Elena Fernandez-Redondo; Lourdes Alonso; Albert Oriol; Ana-Isabel Teruel; Raquel de Paz; José-Garcia Laraña; Enrique Bengoechea; Alejandro Martin; Joaquin Diaz Mediavilla; Luis Palomera; Felipe de Arriba; Joan Bladé; Alberto Orfao; Juan-Jose Lahuerta; Jesus F San Miguel
Journal:  J Clin Oncol       Date:  2011-03-14       Impact factor: 44.544

7.  Bortezomib-thalidomide-dexamethasone is superior to thalidomide-dexamethasone as consolidation therapy after autologous hematopoietic stem cell transplantation in patients with newly diagnosed multiple myeloma.

Authors:  Michele Cavo; Lucia Pantani; Maria Teresa Petrucci; Francesca Patriarca; Elena Zamagni; Daniela Donnarumma; Claudia Crippa; Mario Boccadoro; Giulia Perrone; Antonietta Falcone; Chiara Nozzoli; Renato Zambello; Luciano Masini; Anna Furlan; Annamaria Brioli; Daniele Derudas; Stelvio Ballanti; Maria Laura Dessanti; Valerio De Stefano; Angelo Michele Carella; Magda Marcatti; Andrea Nozza; Felicetto Ferrara; Vincenzo Callea; Catello Califano; Annalisa Pezzi; Anna Baraldi; Mariella Grasso; Pellegrino Musto; Antonio Palumbo
Journal:  Blood       Date:  2012-04-12       Impact factor: 22.113

8.  Serum free light chains for monitoring multiple myeloma.

Authors:  G P Mead; H D Carr-Smith; M T Drayson; G J Morgan; J A Child; A R Bradwell
Journal:  Br J Haematol       Date:  2004-08       Impact factor: 6.998

9.  Quantitative serum free light chain assay--analytical issues.

Authors:  Jill Tate; Sheree Bazeley; Stephen Sykes; Peter Mollee
Journal:  Clin Biochem Rev       Date:  2009-08

10.  GEM2005 trial update comparing VMP/VTP as induction in elderly multiple myeloma patients: do we still need alkylators?

Authors:  María-Victoria Mateos; Albert Oriol; Joaquín Martínez-López; Ana-Isabel Teruel; Ana López de la Guía; Javier López; Enrique Bengoechea; Montserrat Pérez; Rafael Martínez; Luis Palomera; Felipe de Arriba; Yolanda González; José Mariano Hernández; Miquel Granell; José-Luis Bello; Joan Bargay; Francisco-Javier Peñalver; María-Luisa Martín-Mateos; Bruno Paiva; María-Angeles Montalbán; Joan Bladé; Juan-Jose Lahuerta; Jesús F San-Miguel
Journal:  Blood       Date:  2014-09-18       Impact factor: 22.113

View more
  12 in total

1.  A large meta-analysis establishes the role of MRD negativity in long-term survival outcomes in patients with multiple myeloma.

Authors:  Nikhil C Munshi; Herve Avet-Loiseau; Kenneth C Anderson; Paola Neri; Bruno Paiva; Mehmet Samur; Meletios Dimopoulos; Margarita Kulakova; Annette Lam; Mahmoud Hashim; Jianming He; Bart Heeg; Jon Ukropec; Jessica Vermeulen; Sarah Cote; Nizar Bahlis
Journal:  Blood Adv       Date:  2020-12-08

Review 2.  Clinical value of measurable residual disease testing for multiple myeloma and implementation in Japan.

Authors:  Hiroyuki Takamatsu
Journal:  Int J Hematol       Date:  2020-02-07       Impact factor: 2.490

Review 3.  Is molecular remission the goal of multiple myeloma therapy?

Authors:  Faith E Davies
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2017-12-08

Review 4.  Consolidation and Maintenance Therapies for Newly Diagnosed Multiple Myeloma in the Era of Novel Agents.

Authors:  Nitya Nathwani; Jeremy T Larsen; Prashant Kapoor
Journal:  Curr Hematol Malig Rep       Date:  2016-04       Impact factor: 3.952

5.  Triplet RVd Induction for Transplant-Eligible Newly Diagnosed Multiple Myeloma: A Systematic Review and Meta-Analysis.

Authors:  Guangzhong Yang; Chuanying Geng; Yuan Jian; Huixing Zhou; Wenming Chen
Journal:  Adv Ther       Date:  2022-06-30       Impact factor: 4.070

6.  Minimal Residual Disease Status as a Surrogate Endpoint for Progression-free Survival in Newly Diagnosed Multiple Myeloma Studies: A Meta-analysis.

Authors:  Hervé Avet-Loiseau; Heinz Ludwig; Ola Landgren; Bruno Paiva; Chris Morris; Hui Yang; Kefei Zhou; Sunhee Ro; Maria-Victoria Mateos
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2019-10-09

7.  Association of Minimal Residual Disease With Superior Survival Outcomes in Patients With Multiple Myeloma: A Meta-analysis.

Authors:  Nikhil C Munshi; Herve Avet-Loiseau; Andy C Rawstron; Roger G Owen; J Anthony Child; Anjan Thakurta; Paul Sherrington; Mehmet Kemal Samur; Anna Georgieva; Kenneth C Anderson; Walter M Gregory
Journal:  JAMA Oncol       Date:  2017-01-01       Impact factor: 31.777

8.  Induction regimens for transplant-eligible patients with newly diagnosed multiple myeloma: a network meta-analysis of randomized controlled trials.

Authors:  Zi-Hang Zeng; Jia-Feng Chen; Yi-Xuan Li; Ran Zhang; Ling-Fei Xiao; Xiang-Yu Meng
Journal:  Cancer Manag Res       Date:  2017-07-10       Impact factor: 3.989

Review 9.  Comparison of Minimal Residual Disease Detection by Multiparameter Flow Cytometry, ASO-qPCR, Droplet Digital PCR, and Deep Sequencing in Patients with Multiple Myeloma Who Underwent Autologous Stem Cell Transplantation.

Authors:  Hiroyuki Takamatsu
Journal:  J Clin Med       Date:  2017-09-25       Impact factor: 4.241

10.  Twice-weekly ixazomib in combination with lenalidomide-dexamethasone in patients with newly diagnosed multiple myeloma.

Authors:  Paul G Richardson; Craig C Hofmeister; Cara A Rosenbaum; Myo Htut; David H Vesole; Jesus G Berdeja; Michaela Liedtke; Ajai Chari; Stephen D Smith; Daniel Lebovic; Noopur Raje; Catriona Byrne; Eileen Liao; Neeraj Gupta; Alessandra Di Bacco; Jose Estevam; Deborah Berg; Rachid Baz
Journal:  Br J Haematol       Date:  2018-06-25       Impact factor: 6.998

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.