Literature DB >> 34847659

Predicting risk of progression in relapsed multiple myeloma using traditional risk models, focal lesion assessment with PET-CT and minimal residual disease status.

David Baker1, Milan Bimali2, Luis Carrillo3, Archana Sachedina4, Daisy Alapat3, Md Shadiqul Hoque1, Mathew Kottarathara1, Richa Parikh1, Amani Erra1, Angel A Mitma1, Pankaj Mathur1, Yetunde Ogunsesan1, Lakshmi Yarlagadda1, Sravani Gundarlapalli1, Sharmilan Thanendrarajan1, Maurizio Zangari1, Frits Van Rhee1, Guido Tricot1, Carolina Schinke5.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34847659      PMCID: PMC8634177          DOI: 10.3324/haematol.2021.278779

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


× No keyword cloud information.
Novel therapeutic strategies have dramatically increased the depth of response and survival rates in multiple myeloma (MM), but the disease remains incurable in most patients because of eventual relapse.[1] The timing and disease course of relapsed MM can be highly variable, and most often the presentation of the first relapse can give more information on disease biology and overall prognosis than parameters identified at diagnosis.[2] The dynamic change of clinical parameters during the disease course has recently shown to significantly impact survival in MM patients,[3] underscoring that prognostic models, such as fluorescence in situ hybridization (FISH), International Staging System (ISS), revised-ISS (RISS) and gene expression profiling (GEP) in addition to focal lesion (FL) assessment can be useful prognostic tools at initial diagnosis,[4,5] even though they have not been fully validated in the relapse setting. Furthermore, in contrast to newly diagnosed myeloma, it is unknown whether the depth of response after salvage therapy also affects long term outcome in relapsed disease.[6] This is particularly true for the achievement of minimal residual disease (MRD) negativity, a powerful prognostic tool in newly diagnosed MM,[7] even though its importance in relapsed disease has started to be elucidated only recently.[8] In order to explore whether reassessment of initial prognostic markers at relapse increases accuracy in predicting outcome after relapse and to determine whether MRD achievement after the first relapse improves outcome, we investigated 120 patients who relapsed after MM diagnosis and initial treatment on our total therapy (TT) 2-6 protocols between 2000-2016. All patients achieved a complete response (CR) and subsequently relapsed, with the first relapse occurring after January 2014, the time point at which MRD assessment by eightcolor flow cytometry was established systematically at the University of Arkansas for Medical Sciences.[9] The majority of patients received an immunomodulatory imide drug (IMiD)-based triplet as second line, either in combination with a proteasome inhibitor (64%) or a CD38 targeting monoclonal antibody (27%). The median time to first relapse after initial diagnosis and treatment was 5 years (range, 0.9-18 years) with a median follow up after first relapse of 1.57 years (range, 0.18-6.0 years). Patients’ characteristics are presented in Table 1.
Table 1.

Patient characteristics at diagnosis and relapse.

GEP70 classified 17% as high-risk (HR) patients at diagnosis. The proportion increased significantly to 35% at relapse (P<0.05). While the diagnostic GEP70 classification retained significant prognostic value at relapse with HR patients having significantly worse PFS (median: 0.93 years vs. 1.86 years; P=0.03), and OS (median: 2.12 years vs. 5.01 years; P<0.01) (Online Supplementary Figure S1A and B), reassessment of GEP70 at relapse improved prognostic accuracy with a median PFS of 0.76 years for HR versus 2.15 years for low-risk (LR) patients, P<0.01, and a median OS of 1.87 years for HR, while LR patients had not reached their median OS, P<0.01, Figure 1A and B. Similarly, we saw that reassessment of FISH and RISS at relapse improved accuracy in outcome prediction over initial assessment at diagnosis. HR FISH alterations were characterized by translocations t(4;14) and t(14;16) and deletion 17p. In particular the proportion of patients with del17p increased significantly from 12.5% (n=11/88) at diagnosis to 28% (n=17/59) at relapse. Despite the relatively small number of patients with FISH at relapse, reassessment of FISH improved the predictive accuracy for PFS (median: 1.16 years vs. 1.75 years; P=0.1) and OS (median: 2.86 years vs. 4.38 years; P<0.05) (Figure 1C and D) compared to assessment at diagnosis (Online Supplementary Figure S1C and D). Furthermore, reassessment of RISS at relapse, was a more accurate tool in predicting PFS (median PFS RISS I: 1.8 years vs. median PFS RISS II/III: 1.15 years; P<0.05) and OS (median OS RISS I: not reached vs. median OS RISS II/III: 2.9 years, P<0.01) (Figure 1E and F), compared to RISS evaluation at diagnosis (Online Supplementary Figure S1E and F). Of note is that very few patients presented with RISS III at relapse, which is likely due to early detection of relapsing disease in most patients, and hence still a relatively small tumor burden with low b-2-microglobulin values and normal albumin and lactate dehydrogenase (LDH). In contrast to GEP70, FISH and RISS, we only saw a modest prognostic impact of ISS evaluation at diagnosis or even at first relapse with a mild non-significant trend to improved clinical outcome in earlier stages after relapsed disease (Online Supplementary Figure S2A and D).
Figure 1.

Reassessment of traditional risk factors in first multiple myeloma relapse shows improved prognostic accuracy compared to their evaluation at diagnosis (shown in the GEP70 high-risk (HR) patients at relapse had significant worse progression-free survival (PFS) (A), and OS (B) compared to low-risk (LR) patients, P<0.01. HR fluorescence in situ hybridization (FISH) included translocation t14;16, t4;14 and del 17p and showed worse PFS (P=0.1) (C) and OS (P<0.05) (D), compared to patients with LR FISH. Assessment of revised International Staging System (RISS) at relapse showed significant worse PFS, E, and OS, F, for patients with RISS 2+3 compared to patients with RISS stage I. The presence of >3 focal lesions by positron emission tomography and computed tomography (PET CT) at relapse was associated with worse PFS (H) and OS (I) in first relapse. The results were not significant, likely due to the relative small patient number. Achievement of minimal residual disease (MRD) negativity after first relapse was a powerful marker for significantly improved PFS (J) and OS (K).

Patient characteristics at diagnosis and relapse. Reassessment of traditional risk factors in first multiple myeloma relapse shows improved prognostic accuracy compared to their evaluation at diagnosis (shown in the GEP70 high-risk (HR) patients at relapse had significant worse progression-free survival (PFS) (A), and OS (B) compared to low-risk (LR) patients, P<0.01. HR fluorescence in situ hybridization (FISH) included translocation t14;16, t4;14 and del 17p and showed worse PFS (P=0.1) (C) and OS (P<0.05) (D), compared to patients with LR FISH. Assessment of revised International Staging System (RISS) at relapse showed significant worse PFS, E, and OS, F, for patients with RISS 2+3 compared to patients with RISS stage I. The presence of >3 focal lesions by positron emission tomography and computed tomography (PET CT) at relapse was associated with worse PFS (H) and OS (I) in first relapse. The results were not significant, likely due to the relative small patient number. Achievement of minimal residual disease (MRD) negativity after first relapse was a powerful marker for significantly improved PFS (J) and OS (K). Imaging with positron emission tomography and computed tomography (PET CT) was performed at diagnosis (n=120) and at relapse (n=111). Of the 120 patients in our study cohort, 69% (n=75) had at least one 18 F-fluorodeoxyglucose (FDG) avid lesion at diagnosis. Sequential PET CT studies during first line treatment confirmed resolution of PET avid lesions during initial treatment. At first relapse, 44.5% (n=50/112) had at least one lesion. Of these, 68% (n=34/50) had also presented with a FL at diagnosis and 46% (n=23/50) had at least one FL at the same site as at initial diagnosis. The presence of >3 FL by PET at diagnosis, a previously identified adverse risk factor[10] only had a small and non-significant adverse prognostic impact on outcome after first relapse with a median PFS of 1.4 years compared to 1.8 years for patients with 0-3 FL and a median OS of 3.9 years compared to 4.8 years (Online Supplementary Figure S3A and B). Reassessment of focal lesions by PET CT at relapse improved the prognostic value of this test, albeit not significantly (median PFS for 0-3 FL: 1.8 years vs. 1.0 year for >3 FL and median OS: 4.4 years for 0-3 FL vs. 2.1 years for >3 FL) (Figure 1H and I). In a further step we evaluated the prognostic significance of MRD achievement after the first relapse. In total, 116 patients had sequential MRD assessment by flow cytometry, as previously described,[9] after initiation of a second line therapy of which 47 (40.5%) achieved MRD negativity. Nearly all of the MRD-negative patients also achieved a CR (n=45/47), while the remaining two patients had achieved a VGPR. Achievement of a deep response with MRD negativity during second line treatment was a strong predictor of outcome with a median PFS to second relapse of 1.3 years for patients who did not achieve MRD negativity compared to not reached for patients who achieved MRD negativity (P<0.01) (Figure 1J). Median OS was equally significantly better and not reached for patients who achieved MRD negativity compared to 3.7 years for patients who remained MRD-positive (Figure 1K). The time to achievement of MRD negativity varied greatly, reaching from 0.6 to 3 years with a median of 1.02 years. Intriguingly, a slower response to treatment and later achievement of MRD negativity (>1.02 years, n=24), was associated with significant better PFS (median PFS not reached vs. 1.6 years) and OS (median OS not reached vs. 2.8 years) compared to patients who achieved rapid MRD negativity(<1.02 years, n=23) (Online Supplementary Figure S3C and D). In a final step, we evaluated the association between aforementioned independent risk factors and the hazards of experiencing death as well as progression using a multivariable Cox proportional hazards model (Online Supplementary Table S1A and B). FISH and RISS were excluded from the analysis due to the overall small patient number that was assessed at relapse. Age at progression and time from initial MM diagnosis to first progression were included, as they previously had shown to be of prognostic significance in relapsed MM disease. [11,12] High risk by GEP70 and the presence of >3 FL were significantly and independently associated with worse PFS and OS as was older age at first progression. Similarly, achievement of MRD negativity after first relapse was a significant and independent prognostic marker for improved outcome. Though prolonged time to first relapse (TT1P) was suggestive of improved PFS and OS, the results were not quite significant in this cohort, suggesting that TT1P as a prognostic marker is determined by other more significant variables. Our study provides a strong rationale to incorporate reassessment of GEP, FISH and RISS at first relapse to improve clinical prognostication. We further underscore the importance of FL assessment at relapse, a practice that is currently inconsistently performed. The importance of identifying focal lesions can be vital to clinical management, as we show that patients with an increased number of FL tend to have worse outcome and furthermore previous reports indicate that bone marrow content and peripheral myeloma markers do not always correlate with the presence of focal lesions.[13] Lastly, we show that MRD negativity after first relapse is associated with significantly better PFS and OS, which is in line with a previous report.[8] Currently available therapies are increasingly effective, making the achievement of deep responses in relapsed disease a realistic goal.[14] While the present study is limited by a relatively small patient size and differences in treatment at relapse, the investigated prognostic factors have been shown to be valid independent of the treatment modality.[15] Furthermore, key characteristics of our study are that all patients were uniformly treated during upfront therapy and had been exposed to a protease inhibitor, an IMiD and stem cell transplantation, which are all currently part of standard first line treatment in newly diagnosed MM. Taken together our study provides important insight into prognostic features at first relapse that could help clinicians to reclassify patients and also suggests to treat patients – if performance status permits - to a deep clinical response.
  15 in total

1.  The Role of Minimal Residual Disease Testing in Myeloma Treatment Selection and Drug Development: Current Value and Future Applications.

Authors:  Kenneth C Anderson; Daniel Auclair; Gary J Kelloff; Caroline C Sigman; Hervé Avet-Loiseau; Ann T Farrell; Nicole J Gormley; Shaji K Kumar; Ola Landgren; Nikhil C Munshi; Michele Cavo; Faith E Davies; Alessandra Di Bacco; Jennifer S Dickey; Steven I Gutman; Howard R Higley; Mohamad A Hussein; J Milburn Jessup; Ilan R Kirsch; Richard F Little; Robert D Loberg; Jens G Lohr; Lata Mukundan; James L Omel; Trevor J Pugh; Gregory H Reaman; Michael D Robbins; A Kate Sasser; Nancy Valente; Elena Zamagni
Journal:  Clin Cancer Res       Date:  2017-04-20       Impact factor: 12.531

2.  Age is a prognostic factor even among patients with multiple myeloma younger than 66 years treated with high-dose melphalan: the IFM experience on 2316 patients.

Authors:  Marie-Lorraine Chretien; Benjamin Hebraud; Valérie Cances-Lauwers; Cyrille Hulin; Gerald Marit; Xavier Leleu; Lionel Karlin; Murielle Roussel; Anne-Marie Stoppa; Francois Guilhot; Thierry Lamy; Laurent Garderet; Brigitte Pegourie; Mamoun Dib; Catherine Sebban; Pascal Lenain; Sabine Brechignac; Bruno Royer; Marc Wetterwald; Laurence Legros; Frédérique Orsini-Piocelle; Laurent Voillat; Xavier Delbrel; Denis Caillot; Margaret Macro; Thierry Facon; Michel Attal; Philippe Moreau; Hervé Avet-Loiseau; Jill Corre
Journal:  Haematologica       Date:  2014-04-11       Impact factor: 9.941

3.  Treatment of relapsed and refractory multiple myeloma.

Authors:  Pieter Sonneveld; Annemiek Broijl
Journal:  Haematologica       Date:  2016-08       Impact factor: 9.941

4.  Risk of disease recurrence and survival in patients with multiple myeloma: A German Study Group analysis using a conditional survival approach with long-term follow-up of 815 patients.

Authors:  Maximilian Schinke; Gabriele Ihorst; Justus Duyster; Ralph Wäsch; Martin Schumacher; Monika Engelhardt
Journal:  Cancer       Date:  2020-05-27       Impact factor: 6.860

Review 5.  International myeloma working group consensus recommendations on imaging in monoclonal plasma cell disorders.

Authors:  Jens Hillengass; Saad Usmani; S Vincent Rajkumar; Brian G M Durie; María-Victoria Mateos; Sagar Lonial; Cristina Joao; Kenneth C Anderson; Ramón García-Sanz; Eloísa Riva; Juan Du; Niels van de Donk; Jesús G Berdeja; Evangelos Terpos; Elena Zamagni; Robert A Kyle; Jesús San Miguel; Hartmut Goldschmidt; Sergio Giralt; Shaji Kumar; Noopur Raje; Heinz Ludwig; Enrique Ocio; Rik Schots; Hermann Einsele; Fredrik Schjesvold; Wen-Ming Chen; Niels Abildgaard; Brea C Lipe; Dominik Dytfeld; Baldeep Mona Wirk; Matthew Drake; Michele Cavo; Juan José Lahuerta; Suzanne Lentzsch
Journal:  Lancet Oncol       Date:  2019-06       Impact factor: 41.316

6.  Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients.

Authors:  S K Kumar; A Dispenzieri; M Q Lacy; M A Gertz; F K Buadi; S Pandey; P Kapoor; D Dingli; S R Hayman; N Leung; J Lust; A McCurdy; S J Russell; S R Zeldenrust; R A Kyle; S V Rajkumar
Journal:  Leukemia       Date:  2013-10-25       Impact factor: 11.528

Review 7.  Deep Response in Multiple Myeloma: A Critical Review.

Authors:  Mariateresa Fulciniti; Nikhil C Munshi; Joaquin Martinez-Lopez
Journal:  Biomed Res Int       Date:  2015-12-10       Impact factor: 3.411

Review 8.  Management of relapsed and refractory multiple myeloma: novel agents, antibodies, immunotherapies and beyond.

Authors:  C S Chim; S K Kumar; R Z Orlowski; G Cook; P G Richardson; M A Gertz; S Giralt; M V Mateos; X Leleu; K C Anderson
Journal:  Leukemia       Date:  2017-11-16       Impact factor: 11.528

Review 9.  Interest of Pet Imaging in Multiple Myeloma.

Authors:  Bastien Jamet; Clément Bailly; Thomas Carlier; Cyrille Touzeau; Cristina Nanni; Elena Zamagni; Louisa Barré; Anne-Victoire Michaud; Michel Chérel; Philippe Moreau; Caroline Bodet-Milin; Françoise Kraeber-Bodéré
Journal:  Front Med (Lausanne)       Date:  2019-04-09

10.  Evaluation of Sustained Minimal Residual Disease Negativity With Daratumumab-Combination Regimens in Relapsed and/or Refractory Multiple Myeloma: Analysis of POLLUX and CASTOR.

Authors:  Hervé Avet-Loiseau; Jesus San-Miguel; Tineke Casneuf; Shinsuke Iida; Sagar Lonial; Saad Z Usmani; Andrew Spencer; Philippe Moreau; Torben Plesner; Katja Weisel; Jon Ukropec; Christopher Chiu; Sonali Trivedi; Himal Amin; Maria Krevvata; Priya Ramaswami; Xiang Qin; Mia Qi; Steven Sun; Ming Qi; Rachel Kobos; Nizar J Bahlis
Journal:  J Clin Oncol       Date:  2021-01-29       Impact factor: 44.544

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.