Abstract
Background:
Waldenström macroglobulinemia (WM) and chronic lymphocytic leukemia (CLL) are related B-cell cancers that share several clinical and biological features. Both WM and CLL have associated precursor conditions: monoclonal gammopathy of undetermined significance (MGUS) of immunoglobulin M (IgM) type and monoclonal B-cell lymphocytosis (MBL), respectively. Recently, a case of MBL with an IgM MGUS was reported, suggesting a close biological relationship between these entities. While much is known about MGUS overall, investigations of IgM MGUS specifically have been fragmentary.
Methods:
In this paper, we review data on the prevalence, clinical aspects and natural history of IgM MGUS, and focus on identifying gaps in our understanding of the complex relationships among B-cell malignancies and their precursors.
Results:
There appears to be marked heterogeneity in the prevalence of IgM MGUS across populations. However, studies have varied in definition, design, laboratory methods, and endpoints. IgM MGUS differs from non-IgM MGUS in certain respects, including prevalence across racial groups, rate of progression and pattern of malignant outcomes. There are limited data regarding the coincident occurrence of IgM MGUS and MBL.
Conclusions:
Future studies incorporating both protein electrophoresis and flow cytometry are needed to define the underlying spectrum and causes of precursor development, risk factors for progression, and markers that distinguish low- and high-risk precursor patients.
Keywords: MGUS, monoclonal gammopathy of undetermined significance, Waldenström macroglobulinemia, IgM, precursor disease, chronic lymphocytic leukemia
Index terms: monoclonal gammopathy of undetermined significance (MGUS), monoclonal B-cell lymphocytosis (MBL), precursor disorder, prevalence, prognosis, susceptibility
Introduction
Waldenström macroglobulinemia (WM) and chronic lymphocytic leukemia (CLL) are related B-cell cancers. Clinically, WM and CLL share common features, including an asymptomatic stage, autoimmune manifestations, and indolent behavior. WM and CLL have been shown to co-aggregate in families (1), and both are incurable with standard therapy. Biologically, they appear to share similar gene expression profiles (2), and both have associated precursor conditions. The precursor for WM is monoclonal gammopathy of undetermined significance (MGUS) of immunoglobulin M (IgM) type (3). For CLL, the precursor state is monoclonal B-cell lymphocytosis (MBL), which has been characterized as the cellular counterpart of MGUS (4,5). MBL has been demonstrated in about 3% of the general adult population aged 50–60 years or older, and in up to 15% of adults from families with multiple affected CLL cases (6–9). Recently, one case of MBL with an IgM MGUS was reported (see Shim et al., this issue) (9, 10). While there are copious data addressing aspects of MGUS overall, much less information is available regarding IgM MGUS. This review will focus on the prevalence, clinical aspects, and natural history of IgM MGUS, with emphasis on those features that are distinctive for IgM.
Diagnostic and clinical aspects
Few malignancies have phenotypic markers associated with cancer risk. MGUS is the prototypical example of a precursor condition for hematolymphopoietic cancers. Based on current classifications, MGUS (including IgM MGUS) is defined by the presence of a monoclonal immunoglobulin in serum at a concentration of 3 g/dL or less; a proportion of bone marrow plasma cells of 10% or less; and the absence of end-organ manifestations attributable to neoplastic proliferation of monoclonal plasma cells (11).
Serum protein electrophoresis (SPE) followed by immunoelectrophoresis (IEP) or immunofixation electrophoresis (IFE) is integral to the recognition, diagnosis and clinical follow-up of MGUS. Methods to identify and type abnormal bands have evolved over time. Early studies relied on low resolution techniques applied initially to paper and later to cellulose acetate and agarose substrates. These assays were supplanted by high resolution methods, which improved detection of M-proteins of small size or that migrate outside the gamma region. The current method of choice to type monoclonal bands is either IEP or IFE. IFE avoids some of the limitations of IEP for identification of IgM (12). Moreover, IFE is more sensitive than IEP (13) for the detection of small monoclonal bands, but the clinical and biological significance of these small bands is unclear (12). Spontaneous disappearance of a measurable M-protein is a rare event (14). Nonetheless, the M-protein associated with MGUS is usually small and frequently below the densitometric threshold for measurement (15, 16). Such small bands may be transient (17, 18); however, progression to B-cell malignancies has been documented in patients with M-proteins <0.5 g/dL (19).
Once diagnosed, MGUS progresses to myeloma or a related malignant condition at a rate of about 1% per year (14). In one large study, the estimated cumulative excess risk of myeloma was similar for whites and African Americans, suggesting that the observed excess risk of myeloma in African Americans is due to the increased frequency of MGUS rather than an increased rate of progression (20). Natural history studies have shown that the monoclonal protein level may remain stable or increase either gradually or precipitously prior to diagnosis of myeloma. Several prognostic markers indicating risk for progression to myeloma have been proposed, including M-protein isotype (14), M-protein size (14), serum free light chain ratio (21), Bence Jones proteinuria (22), reduction of uninvolved polyclonal immunoglobulins (22), and proportion and atypia of bone marrow plasma cells (22, 23).
Prevalence of IgM MGUS in various populations
MGUS overall has a prevalence of about 3% among white individuals 50 years of age or older and is strongly age-dependent with a consistent male predominance (16). The true population prevalence of IgM MGUS is uncertain. No studies have addressed IgM MGUS prevalence specifically. Instead, prevalence and frequency data are derived from studies of monoclonal gammopathy and/or MGUS overall (Table 1), in which IgM M-protein frequency is usually expressed as a relative percent distribution of immunoglobulin isotopes across all MGUS in a given study population.
Table 1.
Studies reporting the proportional distribution of IgM among cases of MGUS
Study | Year | Location | Population | Target Entity | No. of subjects | Age range | No. with MGUS | No. MGUS with IgM | ||
---|---|---|---|---|---|---|---|---|---|---|
n | % | n | % | |||||||
Hospital/Lab-based | ||||||||||
Ameis et al. (28) | 1976 | Canada | All patients referred for EP for suspected M-protein | 1255 | all | 426 | 63 | 14.8 | ||
Pick et al. (29) | 1979 | Israel | 30000 | all | 170 | 0 | 0.0 | |||
Malacrida et al. (30) | 1987 | Italy | Hospitalized patients having EP | MG & MGUS | 102000* | n.r. | 261 | 0.3 | 32 | 12.3 |
Crawford et al. (31) | 1987 | USA | Well residents of retirement home | 111 | 62–95 | |||||
Singh et al. (25) | 1990 | USA | In- and outpatients with quantitatively normal SPE | MGUS | 398 | ≥20 | 40 | 10.1 | 6 | 15.0 |
White | 270 | 21 | 5.3 | 5 | 23.8 | |||||
African American | 128 | 19 | 14.8 | 1 | 5.3 | |||||
McMurdo et al. (32) | 1990 | Scotland | Emergency admissions to a geriatric ward | MG & MGUS | 192 | 65–99 | 9 | 4.7 | 0 | 0.0 |
Blade et al. (33) | 1992 | Spain | All patients with MGUS diagnosed in hospital | MGUS | 128 | 30–85 | 128 | 14 | 10.9 | |
Bowden et al. (34) | 1993 | Japan | Well elderly visitors to community center | 146 | 63–95 | — | ||||
Lolin et al. (35) | 1996 | Hong Kong | Patients having EP | MG & MGUS | 1600 | n.r. | 87 | 5.4 | 9 | 10.3 |
Ong et al. (36) | 1997 | Netherlands | Patients with M-spike | MG & MGUS | 1275 | all* | 713 | 55.9 | 34 | 4.8 |
Pasqualetti et al. (37) | 1997 | Italy | All patients with MG and follow-up | 263 | 40–89 | 263 | 26 | 9.9 | ||
Vuckovic et al. (38) | 1997 | Croatia | Patients with MGUS | MGUS | 87 | median 60 | 87 | 5 | 5.7 | |
Anagnostopoulos et al. (39) | 2002 | Greece | Patients with no hematologic disorder having EP | 1564 | >50 | 60 | 4 | 6.7 | ||
Roberts-Thomson et al. (40) | 2002 | South Australia | All patients with new M-protein on EP | 613 | all | 411 | 87 | 21.2 | ||
Bergon et al. (41) | 2007 | Spain | Patients having EP within regional healthcare district | MG & MGUS | n.r. | all | 290 | 0.1 | 33 | 11.4 |
Population-based | ||||||||||
Axelsson et al. (42) | 1966 | Sweden | Residents of 4 parishes | MG & MGUS | 6995 | >25 | 59 | 0.8 | 5 | 8.5 |
Carrell et al. (43) | 1971 | New Zealand | Adult Caucasian residents of Rangoria | MG & MGUS | 2192 | >21 | 7 | 2 | 28.6 | |
Fine et al. (44) | 1972 | France | Blood donors | MG & MGUS | 13400 | 25–60 | 16 | 0.1 | 3 | 18.8 |
Paris | 10300 | 7 | 0.1 | 0 | 0.0 | |||||
St. Nazaire | 3100 | 9 | 0.3 | 3 | 33.3 | |||||
Kyle et al. (45) | 1972 | USA | Southeast Minnesota residents aged ≥ 50 yrs | MG & MGUS | 1200 | ≥50 | 15 | 1.3 | 3 | 20.0 |
Pezzoli et al. (46) | 1980 | Italy | Healthy blood donors from Trieste region | MG & MGUS** | 3800 | 18–65 | 13 | 0.34 | 2 | 15.4 |
Saleun et al. (47) | 1982 | France | Adult residents of Finistère | MG & MGUS | 30279 | >18 | 60*** | 54.1 | 13 | 21.7 |
Cohen et al. (48) | 1998 | USA | stratified sampling of elderly from 5 counties; blacks oversampled | MG & MGUS** | 1732 | ≥70 | n.r. | n.r. | 10.0 | |
Study | Year | Location | Population | Target Entity | No. of subjects | Age range | No. with MGUS | No. MGUS with IgM | ||
n | % | n | % | |||||||
Kyle et al. (16) | 2006 | USA | Residents of southeast Minnesota aged ≥ 50 yrs | MGUS | 21463 | ≥50 | 694 | 3.2 | n.r. | 17.2 |
Landgren et al. (26) | 2007 | Ghana | Population-based sample with no history of cancer | MGUS | 917 | 50–74 | 54 | 5.9 | 3 | 5.6 |
Iwanaga et al. (27) | 2007 | Japan | A-bomb survivors in Nagasaki | MG & MGUS | 52781 | >40 | 1088 | 2.1 | 82 | 7.5 |
Landgren et al. (49) | 2010 | USA | Population-based sample with no history of cancer | MGUS | 1000 whites | 40–79 | 39 | 3.9 | 3 | 7.7 |
996 blacks | 40–79 | 21 | 2.1 | 4 | 19.1 |
Abbreviations: No., number; EP, electrophoresis; SPE, serum protein electrophoresis; MG, monoclonal gammopathy; MGUS, monoclonal gammopathy of undetermined significance
Sera
MGUS was inferred from asymptomatic status
Clinical data available on 111 patients
Among population-based studies, Kyle et al. reported the largest screening study investigating prevalence of MGUS based on current methodology to date (16). Among the predominately white residents of Olmstead County, MN, all consenting individuals older than 50 years were evaluated by two-stage SPE and IFE. IgM MGUS accounted for 17.2% of all MGUS, resulting in an estimated prevalence of 0.55 per 100 individuals. There was no difference in the frequency of the IgM isotype based on whether patients had a previous diagnosis of MGUS. The distribution of IgM MGUS by age or gender was not reported.
Studies in African American (24, 25), native African (26), and Japanese (27) populations have suggested racial variations in MGUS prevalence (Table 1) (50). In fact, MGUS overall and multiple myeloma have been shown to be 2-fold more common in African Americans compared to whites in the U.S.(50) In a recent study, MGUS was also shown to be more common in Ghanaian blacks compared to U.S. whites (26). Furthermore, a recent large population-based study found that the doubling of MGUS risk among African Americans (versus whites) was virtually unchanged when obesity, education status and income status were in the same multivariate model (49). This finding suggests that the racial difference is not an artifact of differences in socio-economic status, and strengthens the hypothesis that other factors are involved, perhaps including a role for susceptibility genes in myelomagenesis. In contrast to multiple myeloma, WM is only half as common in African Americans as in whites, based on U.S. registry data (51). Thus, there is considerable interest in determining whether racial differences also occur in the frequency of IgM MGUS (Table 1). In the previously mentioned population-based study in Ghana, the prevalence of MGUS overall was 5.8%. IgM accounted for only 5.6% of MGUS, compared to 14% of men of similar age in the U.S. In an earlier hospital-based study, Singh et al. investigated the occurrence of MGUS in 270 white males and 128 African Americans patients (127 male and 1 female) at a Veterans Administration hospital (25). All patients had both serum protein electrophoresis and IFE. IgM accounted for 20.0% (3 of 15) of MGUS among whites and 6.3% (1 of 16) among blacks. In both groups, IgM MGUS was not found before age 60 years. It is important to note that the real excess of IgM MGUS among whites compared to blacks is probably lower than the IgM frequency distributions suggest. In both studies, because the frequency of MGUS overall among African Americans was about twice that among whites, there was a net 1.4-fold excess of IgM MGUS among whites compared to African Americans.
IgM MGUS may be uncommon in Asian populations. A recent study reported a prevalence of 2.1% for MGUS overall, of which IgM comprised 7.5%, among 52,781 atomic bomb survivors in Nagasaki, Japan (27). These data yield an estimated prevalence of 0.16% for IgM MGUS in this population. Men (n=50, 8.7%) were affected 1.4-fold more commonly than women (n=32, 6.2%). Age-specific data for IgM MGUS were not reported. In contrast, a survey of 1600 mostly Chinese patients undergoing EP for suspected monoclonal gammopathy in Hong Kong found 10.3% of MGUS to be due to IgM in that setting (35). Clearly, more data are needed to describe the prevalence patterns of IgM MGUS among different racial and ethnic groups. However, taken together, these data support a role for racial factors, either genetic, environmental, or a combination, influencing development of IgM MGUS.
In addition to racial differences, there is also evidence supporting geographical variation in both population- and hospital-based studies (Table 1). Overall, IgM appears to constitute a larger proportion of MGUS in countries of western European descent, such as the U.S. (16), Canada (28), and southern Australia (40). This observation is not uniform, as much lower frequencies have been reported for Sweden (42) and, more recently, the Netherlands (36). These two reports illustrate the difficulty in generalizing across studies that use different methodologies or case definitions: the Swedish study was based on IEP rather than IFE for identification of IgM, and the Dutch study employed a restricted definition of MGUS compared to many other reports. Based on a limited number of reports, IgM MGUS appears to be substantially less frequent in Eastern Europe (38), Greece (39), and Israel (29) and intermediate in southern European countries such as Spain (41) and Italy (37). Geographical variation also appears within populations of western European descent (42, 44, 47). In particular, a study of blood donors in France demonstrated remarkable variation by region, ranging from 0% (in a group of mostly urban dwellers in Paris) to 33% (in residents of an agricultural district in western France) (44).
The observed variability across studies has yet to be fully explained. Interpretation must be undertaken with caution, since these studies vary in design, study population, endpoint(s), and assay techniques. Several early studies were large surveys in clinically-defined populations, such as blood donors (42, 44, 46) that were pivotal in identifying the subgroup of monoclonal gammopathy that was ultimately designated MGUS. Most are series based on patients referred to tertiary care centers for electrophoretic studies during a diagnostic evaluation because of a known or suspected M-protein (29, 30, 39, 41). Others evaluate defined population of interest, such as atomic bomb survivors (27) or elderly residents in a retirement home (31, 34). A few represent unselected registry-based (36) or geographically-defined (16, 26, 43, 47, 48) populations.
There are also important differences in the definition and documentation of MGUS across studies resulting from changes in the diagnostic criteria over time and differences in access to clinical records. Some studies infer a diagnosis of MGUS based on the ambulatory status and apparent good health of the subjects (31, 34, 42, 48). Others employ a classical definition of MGUS based on specified criteria regarding M-protein level, distribution of bone marrow plasma cells, and absence of manifestations of overt plasma cell disease (16, 30, 38, 39). Still others further restrict their definition of MGUS by excluding M-proteins associated with a variety of underlying conditions, including non-lymphoid neoplasia, autoimmune/connective tissue disease, and infections and/or chronic inflammatory conditions (36).
The literature is further complicated by the evolution of assay methodology over time. The earliest studies were based on low-resolution electrophoresis (42, 44). The current clinical standard is a two-step approach in which serum is subjected to high-resolution protein electrophoresis; if an M-protein is detected, it is further characterized by either immunoelectrophoresis or immunofixation electrophoresis. Immunofixation electrophoresis is more sensitive than immunoelectrophoresis and avoids some well-known limitations of IEP with respect to the detection of monoclonal IgM. Accordingly, it is occasionally used as the primary assay for diagnosing MGUS, whether or not an M-protein is detected by serum protein electrophoresis (25). Finally, after assay methodology is taken into account, individual studies differ in collection and reporting of data elements by specific Ig class, such as age and/or gender.
It is interesting to note that the same concerns over study population, case definitions, and assay techniques are reflected in prevalence studies of MBL (10). To our knowledge, at this time there has been only limited investigation of the coexistence of MBL and monoclonal gammopathies (9, 10, 58).
Distinctive features of IgM MGUS and risk of transformation
Although details of IgM MGUS are not consistently reported, where such information is available, it suggests that IgM MGUS differs from non-IgM MGUS in certain respects. A striking contrast is the marked difference in racial distribution. As mentioned previously, IgM MGUS has now been shown to comprise a much smaller proportion of MGUS overall in Africans (26) and African Americans (25, 49) compared to whites. This relationship is reversed for non-IgM MGUS.
Most importantly, the pattern of outcomes for MGUS appears to differ by immunoglobulin class. Among prevalence studies that report outcome, numbers are small and follow-up is variable. However, whereas IgG and IgA MGUS overwhelmingly progress to myeloma, IgM MGUS has been reported to progress most often to WM or other lymphoproliferative disorders (Table 2). WM is the most common malignant outcome, but there are reports of IgM MGUS progressing to CLL and non-Hodgkin lymphoma (NHL) (40) (Table 2). In a large natural history study, Kyle et al. (3) followed 213 patients with carefully defined IgM MGUS to determine risk of progression to overt lymphoproliferative disease (Table 3). Nearly half of the IgM M-proteins were smaller than 1.0 g/dL. At a median of 6.3 years, patients with IgM MGUS had the highest risk for progression to WM and were also at increased risk for progression to CLL and NHL. Only 1 patient, who had developed an IgM/IgA biclonal gammopathy during the follow-up interval, was thought to have progressed to myeloma. These observations are also noteworthy because of an epidemiological study showing that WM co-aggregates significantly with CLL but not myeloma in families (1). The rate of progression for IgM MGUS was 1.5% per year, compared to 1.0% per year for MGUS overall. Despite these differences, there are also similarities across isotypes. For example, like MGUS overall, IgM MGUS has been shown to increase with age (47), has a male predominance (47), and most commonly presents with monoclonal proteins of small concentration, often less than 0.5 g/dL (15) (Table 3).
Table 2.
Malignant transformation in patients with IgM MGUS
Author | No. with IgM MGUS | Median follow-up | No. progressing to WM (%) | Median time to progression | # other LPD |
---|---|---|---|---|---|
All MGUS | |||||
Cesana (22) | 130 | 67 mo | 12 (9.2) | 89 mo | —* |
Blade (31) | 14 | 56 mo | 1 (7.1) | n.r. | — |
Anagnostopoulos (37) | 4 | 71 mo | 0 (0.0) | n.a. | — |
Colls (52) | 3 | 4 yrs | 2 (66.7) | 3 yrs | — |
van de Donk (53) | 9 | 6.75 yrs | 1 (11.1) | 9.46 yrs | — |
Veneri (54) | 71 | 67 mo | 8 (11.3) | n.r. | — |
IgM MGUS | |||||
Kyle (3) | 213 | 6.3 yrs | 6 (2.8) | > 5 yrs** | 17 NHL, 3 CLL, 3 AL, 1 MM*** |
Montoto (55) | 52 | 5 yrs | 5 (9.6) | 3.6 yrs | 1 NHL |
Baldini (56) | 217 | 56.1 mo | 13 (6.0) | n.r. | 2 NHL |
Morra (57) | 452**** | 49 mo | 36 (8.0) | 53 mo | 2 NHL, 1 CLL, 1 AL, 1 MM |
Abbreviations: MGUS, monoclonal gammopathy of undetermined significance; No., number; mo, months; yrs, years; n.r., not reported; n.a., not applicable
Cannot be determined from the data
For 5 of 6 patients
Patient developed a biclonal IgM/IgA gammopathy and subsequently developed IgA myeloma.
Included patients with asymptomatic IgM monoclonal gammopathy
Table 3.
Risk factors predicting progression of IgM MGUS to hematologic malignancy*
Factors Associated with Risk of Progression | Other Factors Studied and Found to be Not Associated with Risk of Progression | |||||
---|---|---|---|---|---|---|
Author | MC size | Hgb | Sex | BM LPC | Other | |
Kyle (3) | + | − | − | n.d. | albumin | Age, light chain, immunoparesis, BJP |
Montoto (55) | + | n.a. | ||||
Baldini (56) | + | + | + | − | n.a. | Age, LDH |
Morra** | + | + | n.d | − | ALC | BJP |
Abbreviations: MC, monoclonal component; Hgb, hemoglobin; BM LPC, bone marrow lymphoid and/or plasma cells; BJP, Bence Jones proteinuria; LDH, lactate dehydrogenase; ALC, absolute lymphocyte count; n.d., not done; n.a., not applicable
Table reflects results of multivariate analyses.
Study population included patients with asymptomatic IgM monoclonal gammopathy (i.e., some asymptomatic WM) and outcome was WM requiring therapy.
Future directions
Future studies are needed to define underlying causes of IgM MGUS development as well as risk factors for progression from IgM MGUS to full-blown malignancies. Such insights will hopefully facilitate the development of future efforts designed to delay and prevent IgM MGUS transformation into frank malignant processes. Clearly, there is need in the clinic to better define high-risk versus low-risk precursor patients. For example, access to better molecular markers would help physicians to provide more individualized follow-up and also they would guide clinicians regarding the need to consider early initiation of therapy in high-risk patients.
The lack of data regarding the coincident occurrence of MBL and monoclonal gammopathies (particularly IgM MGUS and abnormal free light chain (FLC) patterns) represents a major information gap that should be addressed by including both types of markers in studies whenever possible. The one reported case with detectable MBL and IgM MGUS (9, 10) was later given a clinical diagnosis of WM, but this was not confirmed histologically, and the patient was subsequently diagnosed with a diffuse large cell lymphoma. In stored prediagnostic blood from 109 persons who subsequently developed CLL, the prevalence of an abnormal FLC ratio, M-protein, and hypogammaglobulinemia before CLL diagnosis was 38% (95% confidence interval, 29%−47%), 13% (7%−21%), and 3% (1%−8%), respectively (58). In fact, M-proteins and abnormal FLC ratios were detected up to 9.8 years before CLL diagnosis in a total of 48 persons (44%). Hypogammaglobulinemia was not present until 3 years before the diagnosis of CLL. Among 37 patients with information on tumor cell immunophenotype, an association between immunophenotype and involved FLC (P = .024) was observed (58). Prospective studies on the natural history of co-existing MBL and monoclonal gammopathies should help illuminate the complex relationships among B-cell malignancies and their precursors.
Acknowledgements
This research was supported by the Intramural Research Program of the NIH, NCI. We thank Robert Vogt for his critical reading of the manuscript.
Footnotes
Conflict of Interest Disclosures
The authors have no conflicts of interest relevant to this paper.
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