• The type of antibody secreted at relapse can serve as a marker of clonal heterogeneity.

  • It is important to monitor for serum FLC in the suspicion of clinical relapse to ensure that FLC relapse is not missed.

Intraclonal heterogeneity was recently described in multiple myeloma (MM), but its full impact on disease progression and relapse has not been entirely explored. The immunoglobulin type produced by myeloma cells provides an excellent marker to follow changes in clonal substructure over time. We have prospectively evaluated serial paraprotein and serum free light chain (FLC) measurements and found that 258 of 520 and 54 of 520 patients who presented with a whole paraprotein relapsed with paraprotein only (PO) and “FLC escape,” respectively. The median overall survival of PO patients was longer, when compared with patients whose relapse manifested as an increase in FLC both alone and with a whole paraprotein, as a result of a significantly shorter survival from relapse of the latter groups. These observations fit a model in which 1 clone is able to produce a complete antibody, whereas the other secretes only FLC; the type of relapse represents the outgrowth of different clones, some of which are more resistant to therapy. To our knowledge, this is the largest series describing patients who have relapsed with FLC escape and highlights the importance of monitoring FLC when there is a suspicion of clinical relapse. This study was registered at www.isrctn.org as ISRCTN68454111.

Although it has long been known that multiple myeloma (MM) is characterized by the proliferation of an abnormal clone of plasma cells, in more recent times the presence of intraclonal heterogeneity has been recognized.1-3  It is proposed that intraclonal heterogeneity, combined with the selective growth advantage conferred by additional genetic lesions, is an essential prerequisite for disease progression and relapse after chemotherapy. However, the full clinical impact of such heterogeneity has yet to be completely evaluated and it is of primary importance to understand its clinical implications. A tool which can be used to assess this question is the clonal secretion of immunoglobulin, an antibody known as paraprotein.1,4 

Immunoglobulins are composed of 2 identical heavy chains and 2 identical light chains. The light chains are either κ, encoded on chromosome 2, or λ, encoded on chromosome 22. Heavy chains are encoded on chromosome 14 by a cluster of immunoglobulin heavy chain C-region genes for the production of the 5 classes and subclasses of immunoglobulin: IgM, IgD, IgG1-4, IgA1-2, and IgE.5  B cells and immunoglobulin-secreting plasma cells manufacture about twice as many light chains in their cytoplasm as heavy chains, which prevent toxicity to the cell from aggregation of free heavy chain.6,7  Normal as well as neoplastic plasma cells secrete both whole immunoglobulin and free light chains (FLCs). In a series of 2709 Medical Research Council (MRC) myeloma trial patients, 85% secreted a whole paraprotein (56% IgG, 27% IgA, and 2% IgD). In 70% of these whole paraprotein secretors, sufficient FLCs were secreted to exceed the renal threshold and become detectable in urine; in over 90%, FLC secretion was sufficient to perturb the normal serum FLC ratio. The remaining 13% of the total cohort secreted only FLC and 2% were oligo/nonsecretory.8 

In recent years, in addition to the assessment of paraprotein levels in serum and urine, the diagnostic workup of MM has seen the introduction of serum FLC assays that can also be routinely used to both diagnose and monitor changes in disease activity.9-13  We have provisionally noted subclonal differences in heavy and light chain production within the predominant myeloma clones14  and, as such, the type of immunoglobulin produced can provide an excellent marker of clonal change over time. To better understand the extent of subclonal evolution over time as well as its impact on outcomes following relapse, we have prospectively evaluated serial FLC and paraprotein measurements in a large population of newly diagnosed MM patients treated within the Myeloma IX clinical trial.

The MRC Myeloma IX trial (ISRCTN68454111) enrolled 1960 patients and the full design and primary results of the trial have been reported previously.15,16  In summary, the trial randomized newly diagnosed MM patients to receive thalidomide- vs nonthalidomide-containing therapy; thalidomide could be given both as an induction and/or as a maintenance regimen. Patients were divided between an intensive and a nonintensive pathway based on their eligibility for autologous stem cell transplantation. Primary end points included progression-free survival (PFS), overall survival (OS), and response. FLC and paraprotein levels were evaluated at diagnosis, after induction, and at relapse in all patients. The International Myeloma Working Group (IMWG) uniform response criteria12  were used to assess response and relapse in this study based on central laboratory analysis of serial blood and urine samples. Patients were classified as relapsing with FLC-only (FLC) escape if they failed to meet the IMWG criteria for change in paraprotein levels that define relapse but satisfied IMWG criteria for changes in FLC levels (Table 1). Statistical analysis was performed using SPSS version 20.0 (SPSS Inc.) and GraphPad Prism 6. Statistical significance of the differences between light chain and paraprotein levels was assessed using Mann-Whitney U tests. Survival curves were plotted using the Kaplan-Meier method. Differences between curves were tested for statistical significance using the log-rank test. Median follow-up was 5.9 years. The study was approved by the National Research Ethics Service London Surrey Borders Research Ethics Committee (reference 08/H0806/98), and was conducted in accordance with the Declaration of Helsinki.

Table 1

Relapse criteria used to define the type of relapse

Type of relapseChange in paraprotein between maximum response and relapseChange in FLC levels between maximum response and relapse
PO ≥5g/L and an increase ≥25% Urine FLC <200 mg/24 h and iFLC <100 mg/L and dFLC <100 mg/L 
PLC ≥5g/L and an increase ≥25% iFLC must have increased by ≥100 mg/L and the increase must be ≥25% and dFLC ≥100 mg/L and the FLC ratio must be abnormal 
FLC escape <5 g/L iFLC must have increased by ≥100 mg/L and the increase must be ≥25% and dFLC ≥100 mg/L and the FLC ratio must be abnormal 
Clinical relapse <5 g/L iFLC <100 mg/L and dFLC <100 mg/L 
Type of relapseChange in paraprotein between maximum response and relapseChange in FLC levels between maximum response and relapse
PO ≥5g/L and an increase ≥25% Urine FLC <200 mg/24 h and iFLC <100 mg/L and dFLC <100 mg/L 
PLC ≥5g/L and an increase ≥25% iFLC must have increased by ≥100 mg/L and the increase must be ≥25% and dFLC ≥100 mg/L and the FLC ratio must be abnormal 
FLC escape <5 g/L iFLC must have increased by ≥100 mg/L and the increase must be ≥25% and dFLC ≥100 mg/L and the FLC ratio must be abnormal 
Clinical relapse <5 g/L iFLC <100 mg/L and dFLC <100 mg/L 

Modified from Durie et al12  and Rajkumar et al18  with permission.

dFLC, difference between involved and uninvolved serum FLC levels; iFLC, involved serum FLC level.

Centralized laboratory results were available for 647 patients with either IgG or IgA myeloma; of these, 32% (206 of 647) achieved a complete response (CR) as maximum response, of which 51% (106 of 206) were in stringent CR (sCR). Breaking this data set down further, in intensively treated patients, 187 of 428 (44%) achieved a CR with 94 of 187 (50%) being in sCR. In the nonintensively treated patients, 19 of 218 (9%) obtained a CR as maximum response, and 12 of 19 (63%) a sCR. To date, 520 of these 647 patients (80.5%) have relapsed. A significant increase in both paraprotein and FLC levels (paraprotein and light chain [PLC] relapse) was observed in 35.2% (183 of 520), while 258 of 520 (49.6%) relapsed with a significant increase only of their paraprotein levels (paraprotein only [PO] relapse) and 25 had relapse detected clinically. In 54 of 520 patients (10.4%), the relapse was characterized by an increase in FLC without a corresponding increase in paraprotein level, a phenomenon termed “serum FLC escape”17 ; these patients represented 6.5% (24 of 369) of IgG patients and 19.9% (30 of 151) of IgA patients, respectively. In 46 of 54 patients (85%), the increase in involved serum FLC was >200 mg/L, that is the level of increase recommended for defining relapse requiring treatment in the absence of clinical symptoms.18  In these 54 FLC escape patients, only 28 (51.8%) had a >200 mg/L increase in urine FLC levels. The definition of the different types of relapse and patients’ characteristics at diagnosis are detailed in Tables 1-2.

Table 2

Patient characteristics at diagnosis according to the major types of relapse

λ (%)κ (%)Median iFLC level, mg/LiFLC >100 mg/L (%)Urine iFLC >200 mg/24 h (%)Thalidomide-based induction (%)
FLC escape 21 (39) 33 (61) 1040 48 (89) 39 (72) 23 (43) 
PCL 62 (34) 121 (66) 719.5 164 (89) 118 (65) 93 (51) 
PO 84 (33) 174 (67) 84.63 127 (49) 99 (38) 139 (54) 
λ (%)κ (%)Median iFLC level, mg/LiFLC >100 mg/L (%)Urine iFLC >200 mg/24 h (%)Thalidomide-based induction (%)
FLC escape 21 (39) 33 (61) 1040 48 (89) 39 (72) 23 (43) 
PCL 62 (34) 121 (66) 719.5 164 (89) 118 (65) 93 (51) 
PO 84 (33) 174 (67) 84.63 127 (49) 99 (38) 139 (54) 

iFLC, involved serum FLC level.

The paraprotein levels at presentation were significantly lower in both IgG and IgA patients who relapsed with FLC escape (LCO) as compared with patients who relapsed with a PLC relapse or PO (Figure 1A). The FLC levels at presentation and relapse were significantly higher in patients who relapsed with FLC escape compared with those relapsing with PO relapse (Figure 1B). Similarly, the relapse FLC levels were significantly higher for patients with IgG FLC escape relapse compared with patients with IgG PLC relapse but there was no significant difference between these groups for patients with IgA myeloma (Figure 1B).

Figure 1

Levels of serum paraprotein and FLC at presentation, maximum response, and relapse for patients grouped according to type of relapse. Whisker box plots showing the median, 25th, and 75th centiles for (A) paraprotein and (B) absolute levels of the involved light chain at presentation, maximum response, and relapse; tails represent 5th and 95th centiles (IgG PO, n = 186; IgG PLC, n = 138; IgG LCO, n = 24; IgA PO, n = 72; IgA PLC, n = 45; and IgA LCO, n = 30). Mann-Whitney U tests were performed to assess the statistical significance of the differences between the groups. *P < .05 when compared with PO at the same time point; **P < .01 when compared with PO at the same time point; X, P < .05 LCO vs PLC at the same time point; XX, P < .01 LCO vs PLC at the same time point. Shaded column represents normal range for sFLC. PO, paraprotein only; PLC, paraprotein plus FLC; LCO, FLC only.

Figure 1

Levels of serum paraprotein and FLC at presentation, maximum response, and relapse for patients grouped according to type of relapse. Whisker box plots showing the median, 25th, and 75th centiles for (A) paraprotein and (B) absolute levels of the involved light chain at presentation, maximum response, and relapse; tails represent 5th and 95th centiles (IgG PO, n = 186; IgG PLC, n = 138; IgG LCO, n = 24; IgA PO, n = 72; IgA PLC, n = 45; and IgA LCO, n = 30). Mann-Whitney U tests were performed to assess the statistical significance of the differences between the groups. *P < .05 when compared with PO at the same time point; **P < .01 when compared with PO at the same time point; X, P < .05 LCO vs PLC at the same time point; XX, P < .01 LCO vs PLC at the same time point. Shaded column represents normal range for sFLC. PO, paraprotein only; PLC, paraprotein plus FLC; LCO, FLC only.

Close modal

A difference in survival between IgG and IgA myeloma patients has been previously established and reflects the short duration of remission in IgA patients.8  In this study, PFS and OS from relapse are 24 vs 20 months (P = .003) and 33.6 vs 28.6 months (P = .071) for IgG and IgA patients, respectively.

PFS was similar between all relapse groups (21.9 vs 18.0 vs 20 months for FLC escape, PLC, and PO relapse, respectively; P = .766). Conversely, the median OS of patients relapsing with light chain involvement (either FLC escape or PLC) was ∼13 months shorter compared with patients relapsing with a whole paraprotein (PO) (Figure 2A, P = .015); this was mostly attributable to a significantly shorter survival from relapse (27.7 vs 23.5 vs 37.4 months, P = .002, for FLC escape, PLC, and PO, respectively; Figure 2B).

Figure 2

Survival according to paraprotein and FLC secretion at first relapse. (A) Kaplan-Meier curves of OS from diagnosis for patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon. (B) Kaplan-Meier curves of survival from first relapse for patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon.

Figure 2

Survival according to paraprotein and FLC secretion at first relapse. (A) Kaplan-Meier curves of OS from diagnosis for patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon. (B) Kaplan-Meier curves of survival from first relapse for patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon.

Close modal

Examining the OS from diagnosis and first relapse by paraprotein isotype, IgG patients with PO relapse had a significantly improved OS from diagnosis (64.5 vs 43.4 and 47.3 months for FLC escape and PLC, respectively; P = .007). There was a trend toward increased OS from diagnosis for IgA patients who relapsed with PO, although this failed to reach statistical significance (50.9 vs 50.7 vs 40.2 months for PO, FLC escape, and PLC, respectively; P = .066). Survival from relapse was increased for patients relapsing without FLC involvement in both isotype subgroups (median OS from relapse 40 and 33.2 months for IgG and IgA, respectively) compared with patients in whom relapse was characterized by an increase in the involved FLC level (median survival from relapse 23.1 and 22.2 months for IgG FLC escape and PLC, and 29.9 and 23.8 months for IgA FLC escape and PLC, respectively; Figure 3A-B).

Figure 3

Survival from relapse according to paraprotein and FLC secretion at relapse for patients with IgG and IgA paraproteins. (A) Kaplan-Meier curves of survival from first relapse for IgG patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon. (B) Kaplan-Meier curves of survival from first relapse for IgA patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon.

Figure 3

Survival from relapse according to paraprotein and FLC secretion at relapse for patients with IgG and IgA paraproteins. (A) Kaplan-Meier curves of survival from first relapse for IgG patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon. (B) Kaplan-Meier curves of survival from first relapse for IgA patients relapsing with whole PO, both PLCs, or patients with FLC escape phenomenon.

Close modal

A Cox regression analysis including maximum response, age, paraprotein isotype, treatment pathway, thalidomide therapy, and the type of relapse identified a maximum response (at least very good partial response [VGPR]), an IgG paraprotein, intensive treatment, and the type of relapse as variables independently associated with an extended OS; treatment pathway and the type of relapse were also found to be variables associated with a longer survival from first relapse (Table 3).

Table 3

Multivariate analysis of variables associated with an increased OS and survival from relapse

Hazard ratioConfidence intervalP
OS    
 Max resp ≥VGPR 1.353 1.048-1.746 .020 
 IgG 1.353 1.059-1.726 .016 
 Intensive pathway 1.677 1.297-2.167 <.000 
 Relapse type   .005 
  PO vs PLC 1.480 1.169-1.872 .001 
  PO vs FLC escape 1.130 0.772-1.655 .528 
Survival from relapse    
 Intensive pathway 1.375 1.066-1.775 .014 
 Relapse type   .001 
  PO vs PLC 1.560 1.232-1.975 .000 
  PO vs FLC escape 1.284 0.873-1.887 .204 
Hazard ratioConfidence intervalP
OS    
 Max resp ≥VGPR 1.353 1.048-1.746 .020 
 IgG 1.353 1.059-1.726 .016 
 Intensive pathway 1.677 1.297-2.167 <.000 
 Relapse type   .005 
  PO vs PLC 1.480 1.169-1.872 .001 
  PO vs FLC escape 1.130 0.772-1.655 .528 
Survival from relapse    
 Intensive pathway 1.375 1.066-1.775 .014 
 Relapse type   .001 
  PO vs PLC 1.560 1.232-1.975 .000 
  PO vs FLC escape 1.284 0.873-1.887 .204 

FLC escape, serum FLC escape relapse; IgG, IgG isotype myeloma; Intensive pathway, treatment in the intensive pathway of MRC Myeloma IX trial; Max resp, maximum response; VGPR, very good partial response.

Many tumors, including MM, are traditionally thought to develop through a multistep process, via the acquisition of sequential “genetic hits.”19  The results of recent analyses have suggested that cancer is more likely to develop following a branching evolution pattern, typical of the model used by Darwin to explain the evolution of the species rather than in a linear stepwise fashion.2,20-22  Intraclonal heterogeneity, the essential substrate for Darwinian evolution, is present in myeloma but to date only limited information is available to judge the global impact of this phenomenon on disease progression and relapse. In a previous study aimed at understanding clonal evolution, a single-nucleotide polymorphism–based genome mapping tool was used to study 28 paired presentation-relapse samples. Three types of relapse were noted: (1) relapse with no additional genetic change; (2) relapse with additional molecular markers; and (3) relapse consistent with relapse from a precursor clone with differing molecular features to those detected at presentation.23 

Since the finding that intraclonal heterogeneity is an important feature in MM, a number of studies have biologically evaluated this issue using different molecular and genetic approaches.2,3,23-26  However, the clinical impact that intraclonal heterogeneity may have on patients’ outcome is still not completely understood. Furthermore, it would be important for clinicians to have a quick and easy tool that allows them to assess the presence of intraclonal heterogeneity from a clinical perspective. Monitoring for the type of immunoglobulin produced and secreted at relapse (either a whole immunoglobulin or just a light chain) provides an excellent tool to study the global impact of intraclonal heterogeneity. The basic premise in this model is that patients harbor different clones with different secretory behavior,14  that is, 1 clone is able to produce a complete antibody, whereas the other secretes only an FLC and this can be used as a marker for subclonal progression. There is great heterogeneity in the patterns of monoclonal immunoglobulin types and levels secreted by the myeloma clones of different patients at presentation, before therapy has been administered. This was clearly shown by the observation that patients in the different groups, despite having similar proportions of κ (61%-67%) and λ subtypes, had very different levels of FLCs and paraprotein since presentation (Figure 1; Table 2). As expected, the groups with higher FLC levels at presentation (FLC escape and PCL) had a higher proportion of patients in whom light chains were detectable in the urine at presentation (Table 2). Within individual patients, these patterns and levels may change as the patient enters remission and relapse, reflecting changes in numbers and proportions of subclones.

Overall, we describe that patients relapsing with increasing levels of FLC have a worse outcome from this time point than patients who relapse with increasing levels of only the whole paraprotein. Importantly, we describe for patients relapsing after presentation with an IgG or IgA paraprotein 10.4% relapse with FLC escape, 49.6% with an increase only in whole paraprotein, and 35.2% with an increase in both FLC and paraprotein levels. To explain these observations, we postulate that chemotherapy is differentially active against the clonal cells producing the intact paraprotein or the FLC-only secreting clone. In such a model, the type of relapse is a marker of a heterogeneous disease, in which different clones predominate at different time points (Figure 4). The better outcome from relapse for patients relapsing without increasing levels of FLC might reflect the presence of higher sensitivity to treatment in the clone characterized by whole paraprotein production only. This hypothesis is strengthened by the fact that having a relapse characterized only by an increase in paraprotein levels (PO) retained its prognostic value in a multivariate analysis that included treatment received at diagnosis (thalidomide vs nonthalidomide based), treatment pathway, and response achieved.

Figure 4

Model of Darwinian evolution in MM assessed by the type of paraprotein secreted: 1 clone is able to produce a complete antibody, whereas the other secretes only a FLC. Chemotherapy is differentially active against the different clones, as different as the impact of other evolutionary bottlenecks such as microenvironment or competition for the stem cell niche. The different selective pressures applied will determine which of the clone(s) will survive and give rise to the relapse. The different clonal composition at relapse will ultimately impact on the different sensitivities to subsequent treatments and therefore on survival. L, light chain only secreting plasma cells; Relapse type 1, relapse characterized by both free light chains and intact immunoglobulin secreting plasma cells; Relapse type 2, relapse characterized only by free light chains secreting plasma cells; Relapse type 3, relapse characterized only by intact immunoglobulin secreting plasma cells; Y, intact immunoglobulin secreting plasma cell.

Figure 4

Model of Darwinian evolution in MM assessed by the type of paraprotein secreted: 1 clone is able to produce a complete antibody, whereas the other secretes only a FLC. Chemotherapy is differentially active against the different clones, as different as the impact of other evolutionary bottlenecks such as microenvironment or competition for the stem cell niche. The different selective pressures applied will determine which of the clone(s) will survive and give rise to the relapse. The different clonal composition at relapse will ultimately impact on the different sensitivities to subsequent treatments and therefore on survival. L, light chain only secreting plasma cells; Relapse type 1, relapse characterized by both free light chains and intact immunoglobulin secreting plasma cells; Relapse type 2, relapse characterized only by free light chains secreting plasma cells; Relapse type 3, relapse characterized only by intact immunoglobulin secreting plasma cells; Y, intact immunoglobulin secreting plasma cell.

Close modal

A longer survival from first relapse can also be related to the salvage treatment received. Data on treatment at relapse were available in less than one-third of the patients (157 of 520) and for this reason were not included in the analysis. However, the percentage of patients receiving a proteasome inhibitor was similar in the 3 groups identified at relapse (33%-34%). Only 1 patient was treated with lenalidomide. The proportions of patients receiving thalidomide at relapse were similar. Even if we cannot exclude an effect of treatment on survival after relapse, from available data this does not seem to be in contrast with our hypothesis that clones characterized by whole paraprotein production have a higher sensitivity to treatment.

Kumar et al reported higher median values of FLC ratios among patients with high-risk IgH translocation.27  However, they also found that the negative prognostic effect of very abnormal FLC levels was independent of the translocation abnormality [t(4;14) and t(14;16)].27  In our data set, IgH translocations were only available in 277 patients (53.1% of relapsed population) and, therefore, fluorescence in situ hybridization data were not included in the multivariate analysis. It is, however, worth noting that, in contrast to Kumar and colleagues, we did not find any significant difference between the median values at presentation and relapse of involved FLC or of FLC ratio in patients harboring high-risk IgH translocation (t(4;14,); t(14;16): t(14;20)) vs patients lacking these cytogenetic abnormalities.

The results presented here provide evidence to support the idea that intraclonal heterogeneity and clonal evolution are a general feature associated with disease progression and treatment resistance in myeloma. Further work needs to be carried out to allow us to precisely understand the underlying mechanism of unbalanced FLC excretion and how it affects survival, but in this study it acts as a marker of a clone with more aggressive clinical behavior. These results also illustrate the importance of disease monitoring using FLC analysis to ensure that FLC relapse is not missed.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.

This work was supported by programme funding from Myeloma United Kingdom, the National Institute for Health Research Biomedical Research Centre at the Royal Marsden Hospital, the National Cancer Research Institute Haemato-Oncology subgroup.

F.E.D. is a Cancer Research United Kingdom Senior Clinical Fellow.

Contribution: A.B., M.T.D., and G.J.M. designed and carried out research, analyzed data, and wrote the paper; G.J.M., J.A.C., and G.H.J. were chief investigators of the MRC Myeloma IX trial; H.G. and J.P.C. analyzed the data and contributed to the writing of the paper; M.F.K. and C.P. contributed to the writing of the paper; M.T.D. and W.M.G. collected the data; F.E.D., M.C., and L.M. provided important intellectual input and contributed to the writing of the paper; R.G.O. and F.E.D. provided patient samples; and all authors had access to, commented on, and approved the final manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests.

Correspondence: Mark T. Drayson, Clinical Immunology Service, University of Birmingham Medical School, Birmingham, United Kingdom; e-mail: m.t.drayson@bham.ac.uk.

1
Kyle
 
RA
Rajkumar
 
SV
Multiple myeloma.
N Engl J Med
2004
, vol. 
351
 
18
(pg. 
1860
-
1873
)
2
Walker
 
BA
Wardell
 
CP
Melchor
 
L
, et al. 
Intraclonal heterogeneity and distinct molecular mechanisms characterize the development of t(4;14) and t(11;14) myeloma.
Blood
2012
, vol. 
120
 
5
(pg. 
1077
-
1086
)
3
Walker
 
BA
Wardell
 
CP
Melchor
 
L
, et al. 
Intraclonal heterogeneity is a critical early event in the development of myeloma and precedes the development of clinical symptoms.
Leukemia
2014
, vol. 
28
 
2
(pg. 
384
-
390
)
4
Bladé
 
J
Samson
 
D
Reece
 
D
, et al. 
Myeloma Subcommittee of the EBMT. European Group for Blood and Marrow Transplant
Criteria for evaluating disease response and progression in patients with multiple myeloma treated by high-dose therapy and haemopoietic stem cell transplantation.
Br J Haematol
1998
, vol. 
102
 
5
(pg. 
1115
-
1123
)
5
Solomon
 
A
Bence-Jones proteins and light chains of immunoglobulins (first of two parts).
N Engl J Med
1976
, vol. 
294
 
1
(pg. 
17
-
23
)
6
Waldmann
 
TA
Strober
 
W
Mogielnicki
 
RP
The renal handling of low molecular weight proteins. II. Disorders of serum protein catabolism in patients with tubular proteinuria, the nephrotic syndrome, or uremia.
J Clin Invest
1972
, vol. 
51
 
8
(pg. 
2162
-
2174
)
7
Corcos
 
D
Osborn
 
MJ
Matheson
 
LS
, et al. 
Immunoglobulin aggregation leading to Russell body formation is prevented by the antibody light chain.
Blood
2010
, vol. 
115
 
2
(pg. 
282
-
288
)
8
Drayson
 
M
Begum
 
G
Basu
 
S
, et al. 
Effects of paraprotein heavy and light chain types and free light chain load on survival in myeloma: an analysis of patients receiving conventional-dose chemotherapy in Medical Research Council UK multiple myeloma trials.
Blood
2006
, vol. 
108
 
6
(pg. 
2013
-
2019
)
9
Drayson
 
M
Tang
 
LX
Drew
 
R
Mead
 
GP
Carr-Smith
 
H
Bradwell
 
AR
Serum free light-chain measurements for identifying and monitoring patients with nonsecretory multiple myeloma.
Blood
2001
, vol. 
97
 
9
(pg. 
2900
-
2902
)
10
Dispenzieri
 
A
Kyle
 
R
Merlini
 
G
, et al. 
International Myeloma Working Group
International Myeloma Working Group guidelines for serum-free light chain analysis in multiple myeloma and related disorders.
Leukemia
2009
, vol. 
23
 
2
(pg. 
215
-
224
)
11
Bradwell
 
AR
Carr-Smith
 
HD
Mead
 
GP
Harvey
 
TC
Drayson
 
MT
Serum test for assessment of patients with Bence Jones myeloma.
Lancet
2003
, vol. 
361
 
9356
(pg. 
489
-
491
)
12
Durie
 
BG
Harousseau
 
JL
Miguel
 
JS
, et al. 
International Myeloma Working Group
International uniform response criteria for multiple myeloma.
Leukemia
2006
, vol. 
20
 
9
(pg. 
1467
-
1473
)
13
Snozek
 
CL
Katzmann
 
JA
Kyle
 
RA
, et al. 
Prognostic value of the serum free light chain ratio in newly diagnosed myeloma: proposed incorporation into the international staging system.
Leukemia
2008
, vol. 
22
 
10
(pg. 
1933
-
1937
)
14
Ayliffe
 
MJ
Davies
 
FE
de Castro
 
D
Morgan
 
GJ
Demonstration of changes in plasma cell subsets in multiple myeloma.
Haematologica
2007
, vol. 
92
 
8
(pg. 
1135
-
1138
)
15
Morgan
 
GJ
Davies
 
FE
Gregory
 
WM
, et al. 
NCRI Haematological Oncology Study Group
Cyclophosphamide, thalidomide, and dexamethasone (CTD) as initial therapy for patients with multiple myeloma unsuitable for autologous transplantation.
Blood
2011
, vol. 
118
 
5
(pg. 
1231
-
1238
)
16
Morgan
 
GJ
Davies
 
FE
Gregory
 
WM
, et al. 
National Cancer Research Institute Haematological Oncology Clinical Study Group
First-line treatment with zoledronic acid as compared with clodronic acid in multiple myeloma (MRC Myeloma IX): a randomised controlled trial.
Lancet
2010
, vol. 
376
 
9757
(pg. 
1989
-
1999
)
17
Kühnemund
 
A
Liebisch
 
P
Bauchmüller
 
K
, et al. 
‘Light-chain escape-multiple myeloma’-an escape phenomenon from plateau phase: report of the largest patient series using LC-monitoring.
J Cancer Res Clin Oncol
2009
, vol. 
135
 
3
(pg. 
477
-
484
)
18
Rajkumar
 
SV
Harousseau
 
JL
Durie
 
B
, et al. 
International Myeloma Workshop Consensus Panel 1
Consensus recommendations for the uniform reporting of clinical trials: report of the International Myeloma Workshop Consensus Panel 1.
Blood
2011
, vol. 
117
 
18
(pg. 
4691
-
4695
)
19
Kuehl
 
WM
Bergsagel
 
PL
Multiple myeloma: evolving genetic events and host interactions.
Nat Rev Cancer
2002
, vol. 
2
 
3
(pg. 
175
-
187
)
20
Gerlinger
 
M
Rowan
 
AJ
Horswell
 
S
, et al. 
Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.
N Engl J Med
2012
, vol. 
366
 
10
(pg. 
883
-
892
)
21
Nik-Zainal
 
S
Van Loo
 
P
Wedge
 
DC
, et al. 
Breast Cancer Working Group of the International Cancer Genome Consortium
The life history of 21 breast cancers.
Cell
2012
, vol. 
149
 
5
(pg. 
994
-
1007
)
22
Anderson
 
K
Lutz
 
C
van Delft
 
FW
, et al. 
Genetic variegation of clonal architecture and propagating cells in leukaemia.
Nature
2011
, vol. 
469
 
7330
(pg. 
356
-
361
)
23
Keats
 
JJ
Chesi
 
M
Egan
 
JB
, et al. 
Clonal competition with alternating dominance in multiple myeloma.
Blood
2012
, vol. 
120
 
5
(pg. 
1067
-
1076
)
24
Egan
 
JB
Shi
 
C-X
Tembe
 
W
, et al. 
Whole-genome sequencing of multiple myeloma from diagnosis to plasma cell leukemia reveals genomic initiating events, evolution, and clonal tides.
Blood
2012
, vol. 
120
 
5
(pg. 
1060
-
1066
)
25
Bolli
 
N
Avet-Loiseau
 
H
Wedge
 
DC
, et al. 
Heterogeneity of genomic evolution and mutational profiles in multiple myeloma.
Nat Commun
2014
, vol. 
5
 pg. 
2997
 
26
Melchor
 
L
Brioli
 
A
Wardell
 
CP
, et al. 
Single-cell genetic analysis reveals the composition of initiating clones and phylogenetic patterns of branching and parallel evolution in myeloma [published online ahead of print January 13, 2014].
Leukemia
27
Kumar
 
S
Zhang
 
L
Dispenzieri
 
A
, et al. 
Relationship between elevated immunoglobulin free light chain and the presence of IgH translocations in multiple myeloma.
Leukemia
2010
, vol. 
24
 
8
(pg. 
1498
-
1505
)

Author notes

M.T.D. and G.J.M. are joint senior authors.

Sign in via your Institution