Literature DB >> 27471869

Dose-dense and less dose-intense Total Therapy 5 for gene expression profiling-defined high-risk multiple myeloma.

Y Jethava1, A Mitchell2, M Zangari1, S Waheed1, C Schinke1, S Thanendrarajan1, J Sawyer1, D Alapat1, E Tian1, C Stein1, R Khan1, C J Heuck1, N Petty1, D Avery1, D Steward1, R Smith1, C Bailey1, J Epstein1, S Yaccoby1, A Hoering2, J Crowley2, G Morgan1, B Barlogie1, F van Rhee1.   

Abstract

Multiple myeloma (MM) is a heterogeneous disease with high-risk patients progressing rapidly despite treatment. Various definitions of high-risk MM are used and we reported that gene expression profile (GEP)-defined high risk was a major predictor of relapse. In spite of our best efforts, the majority of GEP70 high-risk patients relapse and we have noted higher relapse rates during drug-free intervals. This prompted us to explore the concept of less intense drug dosing with shorter intervals between courses with the aim of preventing inter-course relapse. Here we report the outcome of the Total Therapy 5 trial, where this concept was tested. This regimen effectively reduced early mortality and relapse but failed to improve progression-free survival and overall survival due to relapse early during maintenance.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27471869      PMCID: PMC5030385          DOI: 10.1038/bcj.2016.64

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


Introduction

Definitions of high-risk multiple myeloma (HiRMM) vary widely and include plasma cell leukemia, high lactate dehydrogenase, high tumor burden (ISS 3) and a number of genetic features.[1, 2, 3, 4, 5] The latter include metaphase cytogenetic abnormalities, interphase fluorescence in situ hybridization abnormalities such as del17p, amp1q, t(4;14) and t(14;16) and t(14;20), as well as gene expression profiling (GEP)-based signatures and mutational pattern.[6, 7, 8] We have previously reported that GEP70-defined high risk was the dominant adverse parameter with the highest early relapse rates, indicating that GEP70 accounted for most of the observed variability in clinical outcomes.[9] In successive Total Therapy (TT) trials, we have noted a progressive improvement in clinical outcomes with the addition of thalidomide in Total Therapy 2 (TT2), incorporation of both bortezomib and thalidomide in Total Therapy 3a (TT3a) and lenalidomide and bortezomib as maintenance in Total Therapy 3b (TT3b).[10, 11, 12] Unfortunately, this progress was limited to the 85% of patients with GEP70-defined low-risk MM.[13] Lack of progress in the treatment of HiRMM prompted us to explore less intense dosing allowing greater dose density, and thereby minimizing drug-free intervals during which relapses had been noted in prior TT protocols. We report the outcomes of GEP70 high-risk subjects enrolled to Total Therapy 5 (TT5) and its comparison with outcomes of GEP70 high-risk in TT3a and TT3b patients.

Patients and methods

Eligible patients were either untreated or had no more than one cycle of prior therapy for symptomatic MM fulfilling CRAB criteria. Subjects up to the age of 75 years were eligible, provided they had adequate cardio-pulmonary functions; liver function tests could not exceed twice normal values. Treatment assignment was done once GEP results were available. In addition to commonly employed MM marker analysis and bone marrow morphological examinations, we documented GEP70-based risk scores and molecular subgroups as well as fluorescence in situ hybridization-based del17p.[12] Seventy-four patients were screened, of whom 50 were eligible for the enrollment into the study; 24 patients treated on the protocol were excluded from the final analysis because they were classified as low risk by GEP70. The treatment consisted of eight-drug combinations for induction (M-VTD-PACE; melphalan, bortezomib, thalidomide, dexamethasone; and four-day continuous infusions of cisplatin, doxorubicin, cyclophosphamide, etoposide), both transplants (MEL80-VRD-PACE (R, lenalidomide)), and two inter-transplant cycles with Mel20-VTD-PACE; followed by 3 years of maintenance with VRD (V=bortezomib, R=lenalidomide, D= dexamethasone) alternating with VMD (M=melphalan) (Figure 1). Owing to cumulative hematological toxicity from the VMD component seen with the first patients initiating the maintenance phase, VRD was later employed as the sole maintenance, with provision for bortezomib escalation to 1.5 mg/m2 weekly and of lenalidomide to 25 mg for 21 days of a 28-day cycle. The protocol and its revisions had been approved by the institutional review board. All patients signed a written informed consent acknowledging the investigational nature of the protocol, in keeping with institutional, federal and Helsinki Declaration guidelines. A Data Safety and Monitoring Board conducted annual reviews. A team of experts provided semiannual audits for protocol adherence, toxicities and efficacy data. Toxicities were graded according to Version 3 of the NCI Common Terminology Criteria for Adverse Events.
Figure 1

Total Therapy 5 treatment schema.

Results

We report TT5 outcomes in the context of predecessor trials TT3a and TT3b for HiRMM, which both employed two inductions with VDTPACE, tandem transplantation with melphalan 200 mg/m2 and two dose reduced VDTPACE consolidations. The baseline characteristics of GEP70 high-risk patients in TT3a, TT3b and TT5 were comparable in terms of age, ISS stage, presence of PET-defined focal lesions (PET-FL, except difference in proportions with PET-FL-SUVmax>3.9) and presence of cytogenetic abnormalities (Table 1). The progression through sequential TT phases was, as intended, faster in TT5 than in TT3a and TT3b. A consort diagram depicts the progression of GEP70 high-risk patients through the individual trial components and lists reasons for drop-out (Figure 2). With median follow-up times of 10 years in TT3a, 7.6 years in TT3b and 4.4 years in TT5, 3-year estimates of overall survival (OS) were similar at 52, 46 and 60%, respectively (Figure 3a). The corresponding progression-free survival estimates (PFS) were 40, 41 and 32% (Figure 3b). The 3-year estimated complete response durations were virtually identical in TT3a and TT3b at 48 and 50% but tended to be inferior at 24% in TT5 (log-rank P=0.08) (Figure 3c). The timing of onset of complete remission was virtually identical among the three trials (Figure 3). We examined the association of baseline parameters with OS and PFS in TT5 through Cox regression analysis (Supplementary Table S2).
Table 1

Patient characteristics at presentation

FactorAnalysis populationP-value
 TT3a GEP-70 High RiskTT3b GEP-70 High RiskTT5 GEP-70 High Risk 
Median age (years)56.3 (N=40) (36.2–74.7)60.5 (N=37) (36.3–71.2)61.3 (N=50) (38.1–74.0)0.297a
Age>65 years9/40 (23%)12/37 (32%)16/50 (32%)0.526
Female17/40 (43%)20/37 (54%)20/50 (40%)0.401
White35/40 (88%)34/37 (92%)44/50 (88%)b
ISS Stage 111/40 (28%)4/37 (11%)8/50 (16%)0.150
ISS Stage 29/40 (23%)12/37 (32%)17/50 (34%)0.448
ISS Stage 320/40 (50%)21/37 (57%)25/50 (50%)0.786
Creatinine⩾1.5 mg/dl8/40 (20%)8/37 (22%)13/50 (26%)0.781
Hemoglobin<10 g/dl19/40 (48%)22/37 (59%)33/50 (66%)0.206
LDH⩾190 U/l21/40 (53%)16/37 (43%)19/50 (38%)0.385
Platelet count<150 × 109/l8/40 (20%)16/37 (43%)22/50 (44%)0.029
Baseline PET-FL>032/40 (80%)26/37 (70%)31/47 (66%)0.328
Baseline PET-FL>323/40 (58%)21/37 (57%)24/47 (51%)0.803
Baseline FL-SUV>3.926/32 (81%)11/26 (42%)18/31 (58%)0.007
Baseline EMD3/40 (8%)3/37 (8%)6/50 (12%)b
Cytogenetic abnormalities28/40 (70%)28/36 (78%)37/50 (74%)0.742
GEP70 High Risk40/40 (100%)37/37 (100%)50/50 (100%) 
FISH del17p4/17 (24%)9/30 (30%)9/46 (20%)0.583
FISH amp1q2114/20 (70%)16/30 (53%)34/46 (74%)0.172

Abbreviations: FISH, fluorescence in situ hybridization; LDH, lactate dehydrogenase; n/N (%): n—number with factor, N—number with valid data for factor; ND, no valid observations for factor.

P-value from Kruskal–Wallis test.

Sample size assumption for the χ2 test is not met.

Figure 2

Consort diagram of patients enrolled in TT5.

Figure 3

Outcomes for patients entered into TT5. (a) OS, (b) PFS, (c) CRD, (d) Cumulative incidence of response.

In univariate models, low albumin and B2M⩾3.5 mg/l both were associated with significantly shorter OS and PFS, while the 16% of patients with ISS I fared significantly better. Lower hemoglobin levels <10 g/dl were associated with shorter OS and PFS, while high CRP⩾8 mg/l was linked to shorter PFS. Clinical outcomes were almost identical across all GEP molecular subclasses. On multivariate analysis, hypo-albuminemia <3.5 g/dl remained the sole significant variable affecting both OS and PFS adversely. The design of TT5 compared with TT3 trials emphasized dose density at the cost of dose intensity so that treatment-free intervals were minimized, which was accomplished (Figure 1). While pre-maintenance disease escape was rare in TT5, relapse occurred more frequently and promptly during maintenance than observed in TT3a and TT3b, consistent with a lesser depth of response from the pre-maintenance therapies used in TT5. Grade 3–5 toxicities and adverse events are summarized in Supplementary Table S1. Hematological toxicities such as thrombocytopenia, neutropenia and low hemoglobin were the commonest grade 3–5 toxicities observed in approximately 50% of the patients. There were no major infectious complications and, overall, the treatment was tolerated well.

Discussion

TT5 was designed to allow for rapid sequential application of chemotherapy and transplants to sustain tumor kill by avoiding treatment-free periods as required after standard melphalan dosing at 200 mg/m2. While the intended timely sequencing of TT5 treatment segments was accomplished at acceptable toxicities (off study rate for toxicities, 12%), clinical outcomes were similar in TT5 and predecessor trials TT3a and TT3b, with a strong trend for inferiority for complete response durations despite comparable CR kinetics. This is consistent with what would be expected if TT5 produced a lesser depth of CR and may also explain why 20 of 35 patients experienced rapid disease progression during maintenance. Owing to the dose-dense approach in TT5, patients received less cumulative chemotherapy than their TT3 counterparts. It is reasonable to speculate that conditioning with MEL80VDRPACE was less cytoreductive than melphalan 200 mg/m2, so that the well-documented melphalan dose–response was not executed. A further contributing factor to TT5's poor performance may be the omission of consolidation therapy. We had previously reported the importance of post-transplant consolidation even prior to the era of novel drugs.[14] However, the similar PFS outcomes in TT3 and TT5 suggest that post-transplant consolidation in HiRMM merely postpones relapse, but does not prevent it. It is possible that the repeated application of suboptimal doses of melphalan in TT5 may have fostered genomic instability, but we do not have data to support this speculation. Both the TT3 and TT5 data suggest that HiRMM can initially be effectively treated but likely allows for the emergence of drug-resistant sub-clones. It is possible that the repeated application of suboptimal doses melphalan in TT5 may have fostered genomic instability, but we do not have data to support this speculation. Taken together these data show, for stringently defined GEP70 HiRMM, that a dose-dense approach including tandem transplantation is not associated with long-term disease-free outcome and cure is only likely seen in 15–20% of patients who developed stable plateaus of response from 5 years. This is an unacceptable outcome that clearly needs to be improved. Promising options include monoclonal antibodies targeting myeloma directly or, alternatively, activating immune cells such as activated natural killer cells and CAR-T cells.[15] Additionally, some patients may benefit from adding targeted therapy directed at N-RAS, K-RAS or BRAFF according to their mutational profile.[16]
  16 in total

1.  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

2.  Chimeric Antigen Receptor T Cells against CD19 for Multiple Myeloma.

Authors:  Alfred L Garfall; Marcela V Maus; Wei-Ting Hwang; Simon F Lacey; Yolanda D Mahnke; J Joseph Melenhorst; Zhaohui Zheng; Dan T Vogl; Adam D Cohen; Brendan M Weiss; Karen Dengel; Naseem D S Kerr; Adam Bagg; Bruce L Levine; Carl H June; Edward A Stadtmauer
Journal:  N Engl J Med       Date:  2015-09-10       Impact factor: 91.245

3.  Curing myeloma at last: defining criteria and providing the evidence.

Authors:  Bart Barlogie; Alan Mitchell; Frits van Rhee; Joshua Epstein; Gareth J Morgan; John Crowley
Journal:  Blood       Date:  2014-10-07       Impact factor: 22.113

Review 4.  The genetic architecture of multiple myeloma.

Authors:  Gareth J Morgan; Brian A Walker; Faith E Davies
Journal:  Nat Rev Cancer       Date:  2012-04-12       Impact factor: 60.716

5.  International staging system and metaphase cytogenetic abnormalities in the era of gene expression profiling data in multiple myeloma treated with total therapy 2 and 3 protocols.

Authors:  Sarah Waheed; John D Shaughnessy; Frits van Rhee; Yazan Alsayed; Bijay Nair; Elias Anaissie; Jackie Szymonifka; Antje Hoering; John Crowley; Bart Barlogie
Journal:  Cancer       Date:  2010-10-13       Impact factor: 6.860

6.  Superior results of Total Therapy 3 (2003-33) in gene expression profiling-defined low-risk multiple myeloma confirmed in subsequent trial 2006-66 with VRD maintenance.

Authors:  Bijay Nair; Frits van Rhee; John D Shaughnessy; Elias Anaissie; Jackie Szymonifka; Antje Hoering; Yazan Alsayed; Sarah Waheed; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2010-02-02       Impact factor: 22.113

Review 7.  Plasma cell leukemia: consensus statement on diagnostic requirements, response criteria and treatment recommendations by the International Myeloma Working Group.

Authors:  C Fernández de Larrea; R A Kyle; B G M Durie; H Ludwig; S Usmani; D H Vesole; R Hajek; J F San Miguel; O Sezer; P Sonneveld; S K Kumar; A Mahindra; R Comenzo; A Palumbo; A Mazumber; K C Anderson; P G Richardson; A Z Badros; J Caers; M Cavo; X LeLeu; M A Dimopoulos; C S Chim; R Schots; A Noeul; D Fantl; U-H Mellqvist; O Landgren; A Chanan-Khan; P Moreau; R Fonseca; G Merlini; J J Lahuerta; J Bladé; R Z Orlowski; J J Shah
Journal:  Leukemia       Date:  2012-11-21       Impact factor: 11.528

8.  Genetics and cytogenetics of multiple myeloma: a workshop report.

Authors:  Rafael Fonseca; Bart Barlogie; Regis Bataille; Christian Bastard; P Leif Bergsagel; Marta Chesi; Faith E Davies; Johannes Drach; Philip R Greipp; Ilan R Kirsch; W Michael Kuehl; Jesus M Hernandez; Stephane Minvielle; Linda M Pilarski; John D Shaughnessy; A Keith Stewart; Herve Avet-Loiseau
Journal:  Cancer Res       Date:  2004-02-15       Impact factor: 12.701

9.  Homozygous deletion mapping in myeloma samples identifies genes and an expression signature relevant to pathogenesis and outcome.

Authors:  Nicholas J Dickens; Brian A Walker; Paola E Leone; David C Johnson; José L Brito; Athanasia Zeisig; Matthew W Jenner; Kevin D Boyd; David Gonzalez; Walter M Gregory; Fiona M Ross; Faith E Davies; Gareth J Morgan
Journal:  Clin Cancer Res       Date:  2010-03-09       Impact factor: 12.531

10.  Inhibiting MEK in MAPK pathway-activated myeloma.

Authors:  C J Heuck; Y Jethava; R Khan; F van Rhee; M Zangari; S Chavan; K Robbins; S E Miller; A Matin; M Mohan; S M Ali; P J Stephens; J S Ross; V A Miller; F Davies; B Barlogie; G Morgan
Journal:  Leukemia       Date:  2015-07-31       Impact factor: 11.528

View more
  12 in total

1.  The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma.

Authors:  Sharmilan Thanendrarajan; Erming Tian; Pingping Qu; Pankaj Mathur; Carolina Schinke; Frits van Rhee; Maurizio Zangari; Leo Rasche; Niels Weinhold; Daisy Alapat; William Bellamy; Cody Ashby; Sandra Mattox; Joshua Epstein; Shmuel Yaccoby; Bart Barlogie; Antje Hoering; Michael Bauer; Brian A Walker; Faith E Davies; Gareth J Morgan
Journal:  Haematologica       Date:  2017-05-26       Impact factor: 9.941

Review 2.  Toward personalized treatment in multiple myeloma based on molecular characteristics.

Authors:  Charlotte Pawlyn; Faith E Davies
Journal:  Blood       Date:  2018-12-26       Impact factor: 22.113

3.  Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing.

Authors:  L Rasche; S S Chavan; O W Stephens; P H Patel; R Tytarenko; C Ashby; M Bauer; C Stein; S Deshpande; C Wardell; T Buzder; G Molnar; M Zangari; F van Rhee; S Thanendrarajan; C Schinke; J Epstein; F E Davies; B A Walker; T Meissner; B Barlogie; G J Morgan; N Weinhold
Journal:  Nat Commun       Date:  2017-08-16       Impact factor: 14.919

4.  The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma.

Authors:  Leo Rasche; Edgardo J Angtuaco; Terri L Alpe; Grant H Gershner; James E McDonald; Rohan S Samant; Manoj Kumar; Rudy Van Hemert; Joshua Epstein; Shayu Deshpande; Ruslana Tytarenko; Shmuel Yaccoby; Jens Hillengass; Sharmilan Thanendrarajan; Carolina Schinke; Frits van Rhee; Maurizio Zangari; Brian A Walker; Bart Barlogie; Gareth J Morgan; Faith E Davies; Niels Weinhold
Journal:  Blood       Date:  2018-05-21       Impact factor: 22.113

5.  EWSR1 overexpression is a pro-oncogenic event in multiple myeloma.

Authors:  Daichi Nishiyama; Yoshiaki Chinen; Reiko Isa; Yuto Fujibayashi; Saeko Kuwahara-Ota; Junko Yamaguchi; Tomoko Takimoto-Shimomura; Yayoi Matsumura-Kimoto; Taku Tsukamoto; Yuji Shimura; Tsutomu Kobayashi; Shigeo Horiike; Masafumi Taniwaki; Hiroshi Handa; Junya Kuroda
Journal:  Int J Hematol       Date:  2020-10-23       Impact factor: 2.490

Review 6.  A review on tumor heterogeneity and evolution in multiple myeloma: pathological, radiological, molecular genetics, and clinical integration.

Authors:  Christian M Schürch; Leo Rasche; Leonie Frauenfeld; Niels Weinhold; Falko Fend
Journal:  Virchows Arch       Date:  2019-12-17       Impact factor: 4.064

7.  Bone remineralization of lytic lesions in multiple myeloma - The Arkansas experience.

Authors:  Meera Mohan; Manoj Kumar; Rohan Samant; Rudy Van Hemert; Erming Tian; Shivang Desai; Frits van Rhee; Sharmilan Thanendrarajan; Carolina Schinke; Larry J Suva; Shobhit Sharma; Mohamed Milad; Samantha Kendrick; Maurizio Zangari
Journal:  Bone       Date:  2021-02-06       Impact factor: 4.398

8.  Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma.

Authors:  Faith E Davies; Adam Rosenthal; Leo Rasche; Nathan M Petty; James E McDonald; James A Ntambi; Doug M Steward; Susan B Panozzo; Frits van Rhee; Maurizio Zangari; Carolina D Schinke; Sharmilan Thanendrarajan; Brian Walker; Niels Weinhold; Bart Barlogie; Antje Hoering; Gareth J Morgan
Journal:  Haematologica       Date:  2018-03-22       Impact factor: 9.941

Review 9.  High-Risk Multiple Myeloma: Integrated Clinical and Omics Approach Dissects the Neoplastic Clone and the Tumor Microenvironment.

Authors:  Antonio Giovanni Solimando; Matteo Claudio Da Vià; Sebastiano Cicco; Patrizia Leone; Giuseppe Di Lernia; Donato Giannico; Vanessa Desantis; Maria Antonia Frassanito; Arcangelo Morizio; Julia Delgado Tascon; Assunta Melaccio; Ilaria Saltarella; Giuseppe Ranieri; Roberto Ria; Leo Rasche; K Martin Kortüm; Andreas Beilhack; Vito Racanelli; Angelo Vacca; Hermann Einsele
Journal:  J Clin Med       Date:  2019-07-09       Impact factor: 4.241

10.  Bone marrow microenvironments that contribute to patient outcomes in newly diagnosed multiple myeloma: A cohort study of patients in the Total Therapy clinical trials.

Authors:  Samuel A Danziger; Mark McConnell; Jake Gockley; Mary H Young; Adam Rosenthal; Frank Schmitz; David J Reiss; Phil Farmer; Daisy V Alapat; Amrit Singh; Cody Ashby; Michael Bauer; Yan Ren; Kelsie Smith; Suzana S Couto; Frits van Rhee; Faith Davies; Maurizio Zangari; Nathan Petty; Robert Z Orlowski; Madhav V Dhodapkar; Wilbert B Copeland; Brian Fox; Antje Hoering; Alison Fitch; Katie Newhall; Bart Barlogie; Matthew W B Trotter; Robert M Hershberg; Brian A Walker; Andrew P Dervan; Alexander V Ratushny; Gareth J Morgan
Journal:  PLoS Med       Date:  2020-11-04       Impact factor: 11.069

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.