Literature DB >> 35197127

Progression patterns in monoclonal gammopathy of undetermined significance and multiple myeloma outcome: a cohort study in 42 patients.

Widad Tahiru1,2, Antonio Izarra Santamaria1,2, Johan Hultdin3, Wendy Yi-Ying Wu1, Florentin Späth4,5.   

Abstract

Follow-up of low-risk monoclonal gammopathy of undetermined significance (MGUS) is debated as multiple myeloma (MM) progression risk is low. Worse MM outcome was reported for patients followed for low-risk MGUS, possibly due to less optimal follow-up. However, it is unknown whether progressing low-risk MGUS is associated with aggressive tumor behavior. Understanding these patterns is crucial for MGUS management. Here, we investigated whether progression from low-risk MGUS is associated with worse MM outcome in patients who had no MGUS follow-up before myeloma diagnosis. We retrospectively determined the MGUS status in repeated pre-diagnostic blood samples prospectively collected from 42 myeloma patients in median 11.6 years (first sample) and 3.3 years (repeated sample) before myeloma diagnosis. At first pre-diagnostic blood draw, 12 had low-risk (defined by an immunoglobulin [Ig] G monoclonal [M] spike < 15 g/L and a normal free light-chain ratio) and 30 had MGUS of other risk. MM bone disease was more common in patients with low-risk MGUS at first blood draw (67% vs. 30%, P = 0.041). Median survival since myeloma diagnosis was worse in low-risk than other MGUS at first blood draw (2.3 vs. 7.5 years, P = 0.004). Modest progression was observed between first and repeated blood draw for the majority of low-risk MGUS as 67% remained as low- or low-intermediate-risk MGUS at repeated blood draw. Our study, albeit limited by its small size, indicates that progression from low-risk MGUS is associated with worse MM outcome regardless of MGUS follow-up. Although further investigation is needed, progressing low-risk MGUS could belong to a group of aggressive tumors with progression that is difficult to predict.
© 2022. The Author(s).

Entities:  

Keywords:  Aggressive myeloma; Low-risk MGUS; MGUS; MGUS follow-up; MGUS progression; Multiple myeloma; Myeloma outcome; NSHDS; Prospective blood samples

Year:  2022        PMID: 35197127      PMCID: PMC8867673          DOI: 10.1186/s40164-022-00259-0

Source DB:  PubMed          Journal:  Exp Hematol Oncol        ISSN: 2162-3619


To the editor

Multiple myeloma (MM) is preceded by monoclonal gammopathy of undetermined significance (MGUS) [1, 2]. Guidelines recommend following MGUS according to MM progression risk [3]. Follow-up of low-risk MGUS is debated as progression risk is low (5% at 20 years) [4]. Studies evaluating MGUS follow-up indicate worse MM outcome in patients followed for low-risk MGUS, possibly due to less optimal follow-up [5, 6]. However, it is unknown whether progressing low-risk MGUS is associated with aggressive tumor behavior. Understanding these patterns is important for MGUS management [7]. Therefore, the association between progressing low-risk MGUS and MM outcome needs further study. We investigated whether progression from low-risk MGUS is associated with worse MM outcome in patients who had no MGUS follow-up before myeloma diagnosis. The MGUS status was determined retrospectively in repeated pre-diagnostic blood samples of 42 myeloma patients. The Umeå University review board approved this study using samples from the Northern Sweden Health and Disease Study, a large prospective cohort. Linkage to the Swedish Cancer Registry facilitated identification of myeloma patients with a first and repeated pre-diagnostic blood sample before myeloma diagnosis. We could study natural progression patterns in relation to MM outcome because 42 had detectable MGUS (protein and immunofixation electrophoresis and free light-chain assays) in both pre-diagnostic samples without MGUS follow-up before myeloma diagnosis. Kaplan–Meier plots and multivariable Cox regression were used to study overall survival (Additional file 1). The first pre-diagnostic blood sample was donated in November 1986 and the last follow-up since myeloma diagnosis was in February 2021 providing a 19-year study duration in median. Median times since first and repeated pre-diagnostic blood draw to myeloma diagnosis were 11.6 and 3.3 years (Table 1). At first pre-diagnostic blood draw, 12 had low-risk (defined by immunoglobulin [Ig] G monoclonal [M] spike < 15 g/L and normal free light-chain ratio) and 30 had MGUS of any other risk category (i.e., low-intermediate-risk, high-intermediate-risk, high-risk, or light-chain MGUS) (Table 1). Male sex was more common in patients with low-risk MGUS at first blood draw. Other characteristics, including age, diagnosis year, comorbidities, myeloma therapy, and access to novel drugs, were similar in both groups (Table 1, Additional File 2: Table S1–2).
Table 1

Characteristics of the study population by MGUS risk at first pre-diagnostic blood draw

CharacteristicLow-risk MGUSa N (%)Other MGUSb N (%)P valuec
Total12 (100)30 (100)
Median years to myeloma diagnosis (range)
 First pre-diagnostic blood draw13.5 (6.8–18.7)11.1 (1.5–19.3)0.15
 Second pre-diagnostic blood draw4.2 (0.2–11.6)3.0 (0.5–14.3)0.20
 Median age at myeloma diagnosis in years (range)61 (48–84)62 (51–79)0.52
Sex
 Female7 (58)26 (87)0.09
 Male5 (42)4 (13)
Isotype
 IgG12 (100)15 (50)
 Non-IgG (IgA and IgD)7 (23)
 Light-chain8 (27)
International staging system (ISS) stage
 ISS 15 (42)20 (67)0.17
 ISS-2 or ISS-37 (58)10 (33)
Disease status at myeloma diagnosis
 Multiple myeloma (MM)10 (83)17 (57)0.16
 Smoldering multiple myeloma (SMM)2 (17)13 (43)
Bone disease at myeloma diagnosisd
 Presence of MM bone disease8 (67)9 (30)0.04
 Absence of MM bone disease4 (33)21 (70)
Imaging at myeloma diagnosis
 Only conventional skeletal survey7 (58)20 (67)0.73
 Additional imaging modalitiese5 (42)10 (33)
Performance status
 ECOG 0–111 (92)26 (87)1.00
 ECOG 2–31 (8)4 (13)
Diagnosis calendar period
 1997–20034 (33)9 (30)
 2004–20073 (25)13 (43)0.49
 2008–20125 (42)8 (27)
 Median % clonal plasma cells (range)30 (10–80)21 (8–80)f0.20
Hemoglobing
 Normal3 (25)16 (53)0.17
 Below normal9 (75)14 (47)
Creatinineh
 Normal7 (58)23 (77)0.27
 Above normal5 (42)7 (23)
Corrected calcium
 Normal (2.15–2.50 mmol/L)11 (92)22 (73)0.25
 Above normal (> 2.50 mmol/L)1 (8)8 (27)
Beta-2-microglobulin
 Normal (0.7–1.9 mg/L)2 (17)4 (13)1.00
 Above normal (> 1.9 mg/L)10 (83)26 (87)
Lactate dehydrogenasei
 Normal9 (75)21 (70)1.00
 Above normal3 (25)9 (30)

aDefined by IgG M spike < 15 g/L and normal free light-chain ratio at first pre-diagnostic blood draw

bLow-intermediate-risk (N = 11), high-intermediate-risk (N = 10), high-risk (N = 1), or light-chain (N = 8) MGUS at first blood draw

cFisher’s exact test was used to compare categorical variables and the Mann–Whitney U test was used for continuous variables

dDefined as osteolytic lesions and/or vertebral compression fractures due to the underlying multiple myeloma

eAdditionally performed imaging modalities included computed tomography and/or magnetic resonance imaging

fOne patient with 8% clonal bone marrow plasma cells fulfilled myeloma criteria based on urine electrophoresis

gNormal range in women 117–153 g/L; normal range in men 134–170 g/L

hNormal range in women 45–90 µmol/L; normal range in men 60–105 µmol/L

iNormal value in individuals 18–70 years < 3.4 µkat/L; normal value in individuals > 70 years < 4.2 µkat/L

Characteristics of the study population by MGUS risk at first pre-diagnostic blood draw aDefined by IgG M spike < 15 g/L and normal free light-chain ratio at first pre-diagnostic blood draw bLow-intermediate-risk (N = 11), high-intermediate-risk (N = 10), high-risk (N = 1), or light-chain (N = 8) MGUS at first blood draw cFisher’s exact test was used to compare categorical variables and the Mann–Whitney U test was used for continuous variables dDefined as osteolytic lesions and/or vertebral compression fractures due to the underlying multiple myeloma eAdditionally performed imaging modalities included computed tomography and/or magnetic resonance imaging fOne patient with 8% clonal bone marrow plasma cells fulfilled myeloma criteria based on urine electrophoresis gNormal range in women 117–153 g/L; normal range in men 134–170 g/L hNormal range in women 45–90 µmol/L; normal range in men 60–105 µmol/L iNormal value in individuals 18–70 years < 3.4 µkat/L; normal value in individuals > 70 years < 4.2 µkat/L At myeloma diagnosis, 83% vs. 57% had symptomatic MM in patients who had low-risk vs. other MGUS, respectively, at first pre-diagnostic blood draw (P = 0.158) (Table 1). Excluding light-chain myeloma (N = 8), formal statistical significance was reached (83% vs. 41% [9 of 22], P = 0.030). At myeloma diagnosis, bone disease (osteolytic lesions and/or vertebral compression fractures due to MM) was more common in low-risk vs. other MGUS at first blood draw (P = 0.041; Table 1). This was pronounced excluding light-chain myeloma (P = 0.008). Imaging along conventional skeletal surveys was similarly used in both groups (Table 1). In low-risk vs. other MGUS, median survival since myeloma diagnosis was 2.3 years vs. 7.5 years (Fig. 1A). Results were similar for survival since therapy start and in multivariable analyses (Fig. 1A, B). Sex was not associated with bone disease and survival. The results were confirmed in several sensitivity analyses (Additional file 1).
Fig. 1

MGUS (low risk vs. other MGUS at first pre-diagnostic blood draw) progressing to myeloma. A Overall survival since myeloma diagnosis. Hazard ratios (HRs) and 95% confidence intervals (CIs) for death adjusted for sex, age at diagnosis (continuous), time of diagnosis (continuous), Eastern Cooperative Oncology Group (ECOG) performance status (ECOG 0 or 1 vs. ECOG 2 or 3), International Staging System (ISS) stage (ISS-1 vs. ISS-2 or ISS-3), the proportion of clonal bone marrow plasma cells (continuous), lactate dehydrogenase levels (normal vs. elevated), disease status at myeloma diagnosis (smoldering multiple myeloma [SMM] vs. multiple myeloma [MM]), and immunoglobulin (Ig) isotype (IgG vs. non-IgG vs. light-chain). B Overall survival since frontline therapy start excluding five patients who did not progress to MM. HRs and 95% CIs for death adjusted for sex, age at diagnosis (continuous), time of diagnosis (continuous), performance status (ECOG 0 or 1 vs. ECOG 2 or 3), ISS stage (ISS-1 vs. ISS-2 or ISS-3), the proportion of clonal bone marrow plasma cells (continuous), lactate dehydrogenase levels (normal vs. elevated), isotype (IgG vs. non-IgG vs. light-chain), and treatment details (autologous stem cell transplant [ASCT] vs. no ASCT; proteasome inhibitor [PI] and immunomodulating drug [IMiD] vs. PI or IMiD vs. no modern drug; modern drug in frontline treatment vs. not). C, D M spike trajectories in patients who had low-risk MGUS (N = 12) and other MGUS of IgG isotype (N = 15) at first pre-diagnostic blood draw (for better comparison restricted to IgG isotype). M spike concentrations are plotted for each individual at the time point of first and at repeated pre-diagnostic blood draw, at myeloma diagnosis (which is indicated by the time point 0), and at MM initiation (i.e. frontline therapy start) or the time of last clinical follow-up in four individuals who did not progress to MM

MGUS (low risk vs. other MGUS at first pre-diagnostic blood draw) progressing to myeloma. A Overall survival since myeloma diagnosis. Hazard ratios (HRs) and 95% confidence intervals (CIs) for death adjusted for sex, age at diagnosis (continuous), time of diagnosis (continuous), Eastern Cooperative Oncology Group (ECOG) performance status (ECOG 0 or 1 vs. ECOG 2 or 3), International Staging System (ISS) stage (ISS-1 vs. ISS-2 or ISS-3), the proportion of clonal bone marrow plasma cells (continuous), lactate dehydrogenase levels (normal vs. elevated), disease status at myeloma diagnosis (smoldering multiple myeloma [SMM] vs. multiple myeloma [MM]), and immunoglobulin (Ig) isotype (IgG vs. non-IgG vs. light-chain). B Overall survival since frontline therapy start excluding five patients who did not progress to MM. HRs and 95% CIs for death adjusted for sex, age at diagnosis (continuous), time of diagnosis (continuous), performance status (ECOG 0 or 1 vs. ECOG 2 or 3), ISS stage (ISS-1 vs. ISS-2 or ISS-3), the proportion of clonal bone marrow plasma cells (continuous), lactate dehydrogenase levels (normal vs. elevated), isotype (IgG vs. non-IgG vs. light-chain), and treatment details (autologous stem cell transplant [ASCT] vs. no ASCT; proteasome inhibitor [PI] and immunomodulating drug [IMiD] vs. PI or IMiD vs. no modern drug; modern drug in frontline treatment vs. not). C, D M spike trajectories in patients who had low-risk MGUS (N = 12) and other MGUS of IgG isotype (N = 15) at first pre-diagnostic blood draw (for better comparison restricted to IgG isotype). M spike concentrations are plotted for each individual at the time point of first and at repeated pre-diagnostic blood draw, at myeloma diagnosis (which is indicated by the time point 0), and at MM initiation (i.e. frontline therapy start) or the time of last clinical follow-up in four individuals who did not progress to MM We compared MM progression trajectories in patients who had low-risk vs. other MGUS (restricted to IgG isotype for better comparison) at first pre-diagnostic blood draw. At repeated pre-diagnostic blood draw, progression to smoldering multiple myeloma (M spike ≥ 30 g/L) was observed in 8% (1 of 12) in low-risk vs. 20% (3 of 15) in other MGUS (P = 0.605). More patients with low-risk MGUS at first pre-diagnostic blood draw had lower MGUS risk (low- or low-intermediate-risk) at repeated blood draw compared to other MGUS (67% [8 of 12] vs. 27% [4 of 15], P = 0.057). This was pronounced excluding four patients who did not progress to symptomatic MM (all had other MGUS at first blood draw; 67% vs. 9% [1 of 11], P = 0.009). These observations could indicate a more rapid progression process in low-risk MGUS closer to MM initiation. Investigating this, we plotted M spikes in both groups. M spike trajectories were visually largely similar in both groups with some patients experiencing rapid clonal evolution as indicated by fast increasing paraprotein levels (Fig. 1C, D). The annual median M spike increase since repeated pre-diagnostic blood draw was 6.0 g/L in low-risk and 2.2 g/L in other MGUS (P = 0.13) (Fig. 1C, D, Additional File 2: Table S3). Our study, which included data collected over 19 years in median with 81% treated using novel drugs and overall survival comparable to other studies [8], shows that progression from low-risk MGUS is associated with worse MM outcome. These results agree with previous data [5, 6]; however, we found progressing low-risk MGUS associated with worse MM outcome in patients who had no MGUS follow-up before myeloma diagnosis. Thus, we speculate that progressing low-risk MGUS could belong to a group of more aggressive tumors. Biological mechanisms for this putative association are unclear. Interestingly, substantial genomic differences in patients with stable and progressive myeloma precursor condition have been observed [9] with distinct genomic patterns of progression (“static progression” vs. “spontaneous evolution”) in patients who progressed from SMM to MM [10]. Consistent with recent data [11], progression would have been difficult to predict in many of the low-risk patients as 67% remained low- or low-intermediate-risk MGUS at repeated blood draw (donated in median 7.5 years after the first sample). These observations illustrate limitations of the current MGUS stratification: (i) reduced sensitivity in the accurate identification of low-risk MGUS and (ii) current biomarkers do not predict the biological behavior of the later diagnosed tumor. Accurate early prediction of disease progression and/or aggressive tumor behavior could facilitate the identification of patients potentially benefiting from early therapeutic intervention such as currently under evaluation in high-risk MGUS and low-risk SMM [12]. We speculate that while low-risk MGUS patients are less likely to develop MM, there is a subset of these patients who will progress and, importantly, in case of progression belong to a group of more aggressive tumors. As this study has a small sample size with cytogenetic information only available in 17% of the patients and the most recent IMWG criteria [13] were not applicable, the results require further investigation. Until ongoing studies provide answers [14], our data stress the need for improved MGUS stratification based on specific molecular features rather than biomarkers largely reflective of tumor burden [15]. Investigation of microenvironmental differences in prospective blood samples among stable and progressing MGUS could help (i) increase the understanding of underlying extrinsic factors in MM progression and (ii) identify useful biomarkers. Additional file 1: Patients and methods. Additional file 2: Table S1. Comorbidities in patients who had low-risk vs. other MGUS at first pre-diagnostic blood draw. Table S2. Myeloma treatment in patients who had low-risk vs. other MGUS at first pre-diagnostic blood draw. Table S3. M spike concentrations in low-risk vs. other MGUS of IgG isotype (for better comparison) at first blood draw.
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Authors: 
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2.  The Role of Diagnosis and Clinical Follow-up of Monoclonal Gammopathy of Undetermined Significance on Survival in Multiple Myeloma.

Authors:  Elin Edda Sigurdardottir; Ingemar Turesson; Sigrun Helga Lund; Ebba K Lindqvist; Sham Mailankody; Neha Korde; Magnus Björkholm; Ola Landgren; Sigurdur Y Kristinsson
Journal:  JAMA Oncol       Date:  2015-05       Impact factor: 31.777

Review 3.  How I manage monoclonal gammopathy of undetermined significance.

Authors:  Ronald S Go; S Vincent Rajkumar
Journal:  Blood       Date:  2017-11-28       Impact factor: 22.113

Review 4.  Changing paradigms in diagnosis and treatment of monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM).

Authors:  Ashish Patel; Chia Yin Goh; Matthew Ho; Maria Moscvin; Li Zhang; Giada Bianchi
Journal:  Leukemia       Date:  2020-10-12       Impact factor: 11.528

5.  Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study.

Authors:  Ola Landgren; Robert A Kyle; Ruth M Pfeiffer; Jerry A Katzmann; Neil E Caporaso; Richard B Hayes; Angela Dispenzieri; Shaji Kumar; Raynell J Clark; Dalsu Baris; Robert Hoover; S Vincent Rajkumar
Journal:  Blood       Date:  2009-01-29       Impact factor: 22.113

6.  Association of Immune Marker Changes With Progression of Monoclonal Gammopathy of Undetermined Significance to Multiple Myeloma.

Authors:  Ola Landgren; Jonathan N Hofmann; Charlene M McShane; Loredana Santo; Malin Hultcrantz; Neha Korde; Sham Mailankody; Dickran Kazandjian; Kazunori Murata; Katie Thoren; Lakshmi Ramanathan; Ahmet Dogan; Even Rustad; Sydney X Lu; Theresia Akhlaghi; Sigurdur Y Kristinsson; Magnus Björkholm; Sean Devlin; Mark P Purdue; Ruth M Pfeiffer; Ingemar Turesson
Journal:  JAMA Oncol       Date:  2019-09-01       Impact factor: 31.777

7.  Iceland screens, treats, or prevents multiple myeloma (iStopMM): a population-based screening study for monoclonal gammopathy of undetermined significance and randomized controlled trial of follow-up strategies.

Authors:  Sæmundur Rögnvaldsson; Thorvardur Jon Love; Sigrun Thorsteinsdottir; Elín Ruth Reed; Jón Þórir Óskarsson; Íris Pétursdóttir; Guðrún Ásta Sigurðardóttir; Brynjar Viðarsson; Páll Torfi Önundarson; Bjarni A Agnarsson; Margrét Sigurðardóttir; Ingunn Þorsteinsdóttir; Ísleifur Ólafsson; Ásdís Rósa Þórðardóttir; Elías Eyþórsson; Ásbjörn Jónsson; Andri S Björnsson; Gunnar Þór Gunnarsson; Runólfur Pálsson; Ólafur Skúli Indriðason; Gauti Kjartan Gíslason; Andri Ólafsson; Guðlaug Katrín Hákonardóttir; Manje Brinkhuis; Sara Lovísa Halldórsdóttir; Tinna Laufey Ásgeirsdóttir; Hlíf Steingrímsdóttir; Ragnar Danielsen; Inga Dröfn Wessman; Petros Kampanis; Malin Hulcrantz; Brian G M Durie; Stephen Harding; Ola Landgren; Sigurður Yngvi Kristinsson
Journal:  Blood Cancer J       Date:  2021-05-17       Impact factor: 11.037

8.  Genomic patterns of progression in smoldering multiple myeloma.

Authors:  Niccolò Bolli; Francesco Maura; Stephane Minvielle; Dominik Gloznik; Raphael Szalat; Anthony Fullam; Inigo Martincorena; Kevin J Dawson; Mehmet Kemal Samur; Jorge Zamora; Patrick Tarpey; Helen Davies; Mariateresa Fulciniti; Masood A Shammas; Yu Tzu Tai; Florence Magrangeas; Philippe Moreau; Paolo Corradini; Kenneth Anderson; Ludmil Alexandrov; David C Wedge; Herve Avet-Loiseau; Peter Campbell; Nikhil Munshi
Journal:  Nat Commun       Date:  2018-08-22       Impact factor: 14.919

9.  Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities.

Authors:  Bénedith Oben; Guy Froyen; Kylee H Maclachlan; Daniel Leongamornlert; Federico Abascal; Binbin Zheng-Lin; Venkata Yellapantula; Andriy Derkach; Ellen Geerdens; Benjamin T Diamond; Ingrid Arijs; Brigitte Maes; Kimberly Vanhees; Malin Hultcrantz; Elisabet E Manasanch; Dickran Kazandjian; Alexander Lesokhin; Ahmet Dogan; Yanming Zhang; Aneta Mikulasova; Brian Walker; Gareth Morgan; Peter J Campbell; Ola Landgren; Jean-Luc Rummens; Niccolò Bolli; Francesco Maura
Journal:  Nat Commun       Date:  2021-03-25       Impact factor: 14.919

Review 10.  Designing Evolutionary-based Interception Strategies to Block the Transition from Precursor Phases to Multiple Myeloma.

Authors:  Francesco Maura; Ola Landgren; Gareth J Morgan
Journal:  Clin Cancer Res       Date:  2020-08-05       Impact factor: 13.801

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