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. Author manuscript; available in PMC: 2013 May 6.
Published in final edited form as: Br J Haematol. 2008 Dec 20;145(1):134–137. doi: 10.1111/j.1365-2141.2008.07547.x

Immunoglobulin isotypes in multiple myeloma: laboratory correlates and prognostic implications in total therapy protocols

Bijay Nair 1, Sarah Waheed 1, Jackie Szymonifka 1, John D Shaughnessy Jr 1, John Crowley 1, Bart Barlogie 1
PMCID: PMC3644943  NIHMSID: NIHMS454448  PMID: 19120351

According to Mayo Clinic data concerning the immunoglobulin (Ig) isotype distribution in patients with multiple myeloma (MM), IgG accounts for 52%, IgA for 21% and only light chain secretion for 16%; IgD and IgM phenotypes are rare (2% and 0·5% respectively) (Kyle et al, 2003). The recently adopted International Staging System classification distinguishes three groups with significantly different survival outcomes based on serum beta-2-microglobulin (B2M) and albumin levels (Greipp et al, 2005). IgA and especially IgD phenotypes have been considered prognostically unfavourable (Blade et al, 1994; Krejci et al, 2005).

This study searched for possible associations of Ig heavy and light chain isotypes with prognostically relevant baseline laboratory features, especially with gene expression profiling (GEP)-defined molecular subgroup designation and prognostic risk scores that dominantly affect prognosis (Zhan et al, 2006; Shaughnessy et al, 2007). Our MM database was scrutinized for all patients previously enrolled in total therapy 1, 2 and 3 (TT1, TT2 and TT3) protocols for newly diagnosed patients with symptomatic or progressive disease. Details of protocol therapy and clinical outcomes have been previously reported (Barlogie et al, 1999, 2006, 2007). The current analysis was performed as of August 2008, encompassing median follow-up times of live patients of 14·3 years for TT1 (n = 231), 6·5 years with TT2 (n = 668), and 3·3 years with TT3 (n = 303). All protocols had been approved by the Institutional Review Board at the University of Arkansas for Medical Sciences and all patients had provided written informed consent in keeping with the Helsinki declaration and with Food and Drug Administration and National Cancer Institute guidelines. The various Ig heavy and light chain types were annotated at diagnosis, along with their serum levels and their urinary excretions. Clinical endpoints included complete response (CR, immunofixation analysis negative), duration of CR from response onset, as well as event-free survival (EFS) and overall survival (OS), both measured from initiation of protocol therapies. GEP data on CD138-purified plasma-cells were available for 626 patients enrolled in TT2 and TT3. GEP-defined risk score and molecular subgroup designation was performed as previously published (Zhan et al, 2006; Shaugh-nessy et al, 2007). Kaplan–Meier methods were used to generate survival distribution graphs and comparisons were made via the log-rank test. Stepwise selection and Cox proportional hazard regression modelling were applied for the multivariate analyses. Estimated R2 values were calculated through the methods of O’Quigley and Xu (2001).

In our series of 1202 patients, IgG was present in 648 (54%), IgA in 268 (22%), IgD in 12 (1%); 194 had light chain only disease (16%); two were classified as having bi-clonal disease (0·2%); 28 (2%) were deemed to have non-secretory MM; and 50 had unknown disease type (4%). The kappa-to-lambda light chain ratio was 2·0 for IgG, 1·4 for IgA, 1·0 for IgD MM, and 1·2 among those with only light chain secretion (P = 0·008). Serum M-protein levels were higher in patients with IgG (median, 33 g/l; range, 0–97 g/l) than in those with IgA (median, 21 g/l; range, 0–87 g/l), while lowest levels were recorded in patients with IgD MM (median, 3 g/l; range, 0·01–45 g/l). The associated median daily urinary light chain excretions were 550·0 mg/d (range, 0–3120 mg/d) in case of kappa and 43·0 mg/d (range 0–2780 mg/d) in case of lambda for IgG; 465·0 mg/d (range, 0–3060 mg/d) in case of kappa and 70·0 mg/d (range, 0–1620 mg/d) in case of lambda for IgA; 162·0 mg/d (range, 0–584 mg/d) in case of kappa and 148·0 mg/d (range, 71–200 mg/d) in case of lambda for IgD; 164·0 mg/d (range 0·0–803·0 mg/d) for kappa and 95·0 mg/d (range, 0·0–216·0 mg/d) for lambda light chain among those with light chain only disease. In the 439 patients with serum free-light chain determinations, available at our centre since 2002, the median levels were 42·6 mg/l (range 0·1–38700 mg/l) for kappa and 12·8 mg/l (range 0·01–71200 mg/l) for lambda.

Among potentially significant associations of the different Ig phenotypes with baseline prognostic features examined, IgD isotype was uniquely associated with significantly higher frequencies of cytogenetic abnormalities (CA) and of elevated serum levels of lactate dehydrogenase (LDH), B2M, and C-reactive protein (CRP) (Table I). GEP data, introduced at our centre in 2000, were available prior to commencement of therapy in TT2 in 351 and in TT3 in 275. While GEP-defined high-risk MM appeared evenly represented among the various Ig subgroups (P = 0·422), IgD isotype was associated with the proliferation (PR) subgroup in 38% as opposed to 10% in the entire population (P = 0·003).

Table I.

Associations of immunoglobulin heavy and light chain types with baseline clinical features without and with gene expression profiling (GEP) data.

Factor All TT Patients (Overall) IgA IgD IgG Bi-clonal Free light chain Non-secretory Unknown P-value
CA 371/1184 (31%) 102/266 (38%) 6/12 (50%) 198/639 (31%) 1/2 (50%) 47/191 (25%) 5/28 (18%) 12/46 (26%) 0·018
Albumin <35 g/l 257/1198 (21%) 61/267 (23%) 2/12 (17%) 164/645 (25%) 0/2 (0%) 17/194 (9%) 2/28 (7%) 11/50 (22%) <·001
B2M ≥ 3·5 mg/l 474/1200 (40%) 118/268 (44%) 9/12 (75%) 229/647 (35%) 1/2 (50%) 93/194 (48%) 6/28 (21%) 18/49 (37%) <·001
B2M >5·5 mg/l 230/1200 (19%) 59/268 (22%) 3/12 (25%) 100/647 (15%) 1/2 (50%) 56/194 (29%) 3/28 (11%) 8/49 (16%) 0·001
Creatinine ≥176 μmol/l 107/1188 (9%) 20/263 (8%) 1/12 (8%) 41/642 (6%) 1/2 (50%) 40/192 (21%) 0/27 (0%) 4/50 (8%) <·001
CRP ≥4 mg/l 662/1183 (56%) 161/264 (61%) 10/11 (91%) 339/643 (53%) 0/1 (0%) 117/193 (61%) 11/28 (39%) 24/43 (56%) 0·009
CRP ≥8 mg/l 433/1183 (37%) 106/264 (40%) 8/11 (73%) 214/643 (33%) 0/1 (0%) 82/193 (42%) 6/28 (21%) 17/43 (40%) 0·009
LDH ≥190 U/l 334/1199 (28%) 66/268 (25%) 5/12 (42%) 163/647 (25%) 1/2 (50%) 82/194 (42%) 6/26 (23%) 11/50 (22%) <·001
GEP†-defined-high risk MM 86/626 (14%) 23/157 (15%) 0/8 (0%) 42/342 (12%) 0/1 (0%) 18/106 (17%) 1/7 (14%) 2/5 (40%) 0·422
GEP† PR subgroup 61/626 (10%) 17/157 (11%) 3/8 (38%) 21/342 (6%) 0/1 (0%) 18/106 (17%) 1/7 (14%) 1/5 (20%) 0·003

Sample size assumption for chi-square test is suspect.

n/N (%): n, number with factor, N-number with valid data for factor.

B2M, beta-2-microglobulin; CRP, C-reactive protein; TT, total therapy; LDH, lactate dehydrogenase; PR, proliferation; CA, cytogenetic abnormalities; MM, multiple myeloma; GEP, gene expression profiling.

Median OS and EFS durations according to Ig subtypes were 83 and 49 months for IgA and 84 and 41 months for IgD, and thus tended to be shorter than the 99 and 58 months observed for the remainder (P = 0·17, P = 0·14). We next examined clinical outcomes in the context of baseline characteristics that included Ig isotypes (Table II). In the absence of GEP information, both OS and EFS were adversely affected by the presence of CA and elevated serum levels of B2M and LDH. IgA isotype was an additional adverse feature for EFS only. With added knowledge of GEP data, GEP-defined high-risk dominated both OS and EFS models, while CA, LDH and B2M remained independent adverse features. IgA was an additional poor prognosticator for both OS and EFS. Renal compromise was an added negative feature for EFS, while TT3 was the only positive variable associated with improved EFS.

Table II.

Multivariate analysis of baseline parameters associated with clinical outcomes.

Endpoint Variable n/N (%) HR (95% CI) P-value Cumulative R2 (%)
OS (all patients) CA 371/1180 (31%) 1·90 (1·59,2·28) <0·001 10·76
B2M >5·5 mg/l 226/1180 (19%) 1·66 (1·35,2·04) <0·001 14·45
LDH ≥190 U/l 328/1180 (28%) 1·52 (1·25,1·84) <0·001 16·45
IgA myeloma 266/1180 (23%) 1·18 (0·96,1·45) 0·122 16·52
IgD myeloma 12/1180 (1%) 0·75 (0·31,1·81) 0·518 16·61
OS (with GEP data) GEP-defined high-risk MM 86/625 (14%) 2·44 (1·71,3·47) <0·001 18·95
CA 207/625 (33%) 1·95 (1·44,2·64) <0·001 25·07
LDH ≥190 U/l 192/625 (31%) 1·85 (1·36,2·52) <0·001 30·02
B2M >5·5 mg/l 131/625 (21%) 1·62 (1·18,2·23) 0·003 33·06
IgA myeloma 157/625 (25%) 1·24 (0·89,1·72) 0·213 33·19
IgD myeloma 8/625 (1%) 1·41 (0·51,3·87) 0·508 33·22
EFS (all patients) TT1 protocol 219/1180 (19%) 1·84 (1·54,2·20) <0·001 4·95
CA 371/1180 (31%) 1·64 (1·39,1·92) <0·001 12·14
B2M >5·5 mg/l 226/1180 (19%) 1·60 (1·34,1·93) <0·001 15·24
TT3 protocol 302/1180 (26%) 0·57 (0·44,0·73) <0·001 20·48
LDH ≥190 U/l 328/1180 (28%) 1·48 (1·25,1·75) <0·001 22·81
IgA myeloma 266/1180 (23%) 1·23 (1·03,1·48) 0·024 23·19
IgD myeloma 12/1180 (1%) 1·42 (0·73,2·75) 0·301 23·25
EFS (with GEP data) GEP-defined high-risk MM 85/616 (14%) 2·54 (1·85,3·49) <0·001 15·27
Creatinine ≥2 mg/dl 58/616 (9%) 1·97 (1·41,2·77) <0·001 18·79
CA 205/616 (33%) 1·60 (1·23,2·07) <0·001 22·38
TT3 protocol 275/616 (45%) 0·58 (0·43,0·77) <0·001 27·73
LDH ≥190 U/l 189/616 (31%) 1·54 (1·19,1·99) 0·001 30·60
IgA myeloma 153/616 (25%) 1·40 (1·06,1·85) 0·016 31·33
IgD myeloma 8/616 (1%) 2·23 (0·98,5·11) 0·057 31·67

P-value from Wald chi-square test in Cox regression.

Multivariate model uses stepwise selection with entry level 0·1 and variable remains if meets the 0·05 level. A multivariate P-value greater than 0·05 indicates variable forced into model with significant variables chosen using stepwise selection.

Variables considered for OS (all patients) multivariate analysis included: IgA myeloma, IgD myeloma, kappa versus lambda light chain, TT protocol, age ≥65 years, CA, albumin <35 g/l, B2M >5·5 mg/l, creatinine ≥176 μmol/l, CRP ≥8 mg/l, Hb <100 g/l and LDH ≥190 U/l.

Variables considered for OS (patients with GEP data) multivariate analysis included: IgA myeloma, IgD myeloma, kappa versus lambda light chain, TT protocol, age ≥65 years, CA, B2M >5·5 mg/l, creatinine ≥176 μmol/l, CRP ≥8 mg/l, Hb <100 g/l, LDH ≥190 U/l, 70-gene-derived high-risk MM as well as molecular subgroups: CD-1 and CD-2, hyperdiploid, low bone disease, WHSC1/FGFR3, MAF/MAFB and proliferation.

Variables considered for EFS (all patients) multivariate analysis included: IgA myeloma, IgD myeloma, kappa versus lambda light chain, TT protocol, age ≥65 years, CA, albumin <3·5 g/dL, B2M >5·5 mg/l, creatinine ≥176 μmol/l, CRP ≥8 mg/l, Hb <100 g/l and LDH ≥190 U/l.

Variables considered for EFS (patients with GEP data) multivariate analysis included: IgA myeloma, IgD myeloma, kappa v lambda light chain, TT protocol, age ≥65 years, CA, albumin <3·5 g/dl, B2M >5·5 mg/l, creatinine ≥176 μmol/l, CRP ≥8 mg/l, Hb <100 g/l, LDH ≥190 U/l, 70-gene-derived high-risk MM as well as molecular subgroups: CD-1 and CD-2, hyperdiploid, low bone disease, WHSC1/FGFR3, MAF/MAFB and proliferation.

HR, hazard ratio; 95% CI, 95% confidence interval; B2M, beta-2-microglobulin; EFS, event-free survival; CRP, C-reactive protein; LDH, lactate dehydrogenase; CA, cytogenetic abnormalities; OS, overall survival; MM, multiple myeloma; GEP, gene expression profiling; TT, total therapy.

Our results demonstrated that, in the era of highly effective combination therapy for multiple myeloma, CA, GEP-high-risk and elevated levels of LDH and B2M were the main and consistently adverse features associated with poor OS and EFS. IgA isotype additionally affected OS and EFS especially in the context of GEP data; IgD did affect EFS adversely although, due to its rare occurrence (1%), it did not contribute significantly in the context of R2 statistics, portraying the variability of clinical outcomes that could be accounted for by baseline variables (see Table II). As delineated in Table I, IgD was strongly associated with high levels of LDH and B2M as well as the presence of CA and PR molecular subtype, attesting to its highly proliferative potential which, in former times, may have explained the poorer outcome seen of such patients.

Acknowledgments

Programme project grant CA 55819 from the National Cancer Institute, Bethesda, MD, USA.

Footnotes

Authors’ contributions

BN, BB designed and wrote paper. BN, SW contributed patients and analysed data. JDS performed gene array analyses. JS, JC performed statistical analyses.

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