The 2nd IWWM tried to define reproducible criteria for the diagnosis of IgM-MGUS and Waldenstrom's Macroglobulinemia. IgM-MGUS was defined as asymptomatic condition characterized by serum IgM monoclonal protein (MC) without morphologic evidence of bone marrow (BM) lymphoplasmacytic infiltration. The proposal of the guidelines was to classify as MGUS also patients with equivocal evidence of BM infiltration, such as those presenting clonal B-cells by multiparameter flow cytometry (MFC) in the absence of morphologic evidence of BM infiltration, as well as those with equivocal BM infiltrates not confirmed by immunophenotypic studies.

Patients

The diagnosis of IgM-MGUS was made in 11 patients (6 males, 5 females) according to the consensus panel criteria. The median age at diagnosis was 73 (range, 60-77). Ten patients had K light chains. The median erythrocyte sedimentation rate was 11. The MC level at diagnosis ranged from 0.1 to 1.2 g/dL (median 0.4). Only one patient had MC value > 1.0 g/dL. The median IgM value was 697 mg/dL (range 116-1790). Five of 11 IgM-MGUS patients showed a small clonal B-cell population (light-chain-isotype-positive B-cells) detected by MFC without histologic evidence of BM infiltration. Therefore, patients were divided in 2 groups: group 1 (n=5) showing a clonal B-cell population, and group 2 (n=6) with polyclonal B-cells at MFC.

Methods and results

We isolated BM CD19+ cells in the 11 IgM-MGUS patients using Miltenyi Microbeads and performed microarray with Affymetrix-HG-U133 Plus 2.0 array. Gene set enrichment analysis (GSEA) was performed and different sets of genes were defined based on REACTOME pathways, KEGG pathways and GO Biological Process Terms. Interestingly, 17 top-ranking gene sets including differently expressed genes, reached a nominal p-value lower than 0.001; 2 gene sets were upregulated (while 15 gene sets were downregulated in monoclonal vs. polyclonal IgM-MGUS (table 1).

No genes resulted significantly differentially expressed between group 1 and group 2 using a classic SAM test for microarrays and correcting for multiple testing with a false discovery rate (FDR) threshold of 5%. Similarly, IgM and MC were not differentially expressed between the two groups, although IgM showed a nominal p-value of 0.09 (t-test).

However, when using linear regression to explain each gene expression data as a function of both IgM and MC, UBTF, TRIM5, FLJ35816, RDH10 genes were selected based on a FDR equal to 5%, applied to the F-statistic p-value. In particular, the model fitting UBTF had a p-value of 9.461e-07 and an adjusted R-squared of 0.9786; table 2 displays the coefficients of the model and the related p-values, showing a positive co-regulation of UBTF with MC.

Conclusions

In conclusion, microarray of IgM-MGUS gives insights into gene expression differences in IgM-MGUS. Notably, UBTF is a transcription factor which plays a crucial role in the transcription of rRNA in ERK-pathway, suggesting a possible role of ERK-pathway in IgM-MGUS. Additional gene expression measurements are ongoing in a larger cohort of IgM-MGUS patients.

Table 1.

Upregulated gene sets in monoclonal vs. polyclonal IgM-MGUS

GENE SET NAME
REACTOME_XENOBIOTICS 
REGULATION_OF_CHROMOSOME_ORGANIZATION_AND_BIOGENESIS 
GENE SET NAME
REACTOME_XENOBIOTICS 
REGULATION_OF_CHROMOSOME_ORGANIZATION_AND_BIOGENESIS 

Downregulated gene sets in monoclonal vs. polyclonal IgM-MGUS

Table 2.

Linear regression results of both IgM and MC on UBTF expression

GENE SET NAME
REACTOME_ROLE_OF_DCC_IN_REGULATING_APOPTOSIS 
REACTOME_P38MAPK_EVENTS 
REACTOME_EARLY_PHASE_OF_HIV_LIFE_CYCLE 
REACTOME_MRNA_DECAY_BY_3_TO_5_EXORIBONUCLEASE 
KEGG_NICOTINATE_AND_NICOTINAMIDE_METABOLISM 
CHROMATIN_ASSEMBLY_OR_DISASSEMBLY 
ESTABLISHMENT_AND_OR_MAINTENANCE_OF_CHROMATIN_ARCHITECTURE 
PROTEIN_DNA_COMPLEX_ASSEMBLY 
RESPONSE_TO_DNA_DAMAGE_STIMULUS 
CHROMATIN_ASSEMBLY 
CHROMOSOME_ORGANIZATION_AND_BIOGENESIS 
DOUBLE_STRAND_BREAK_REPAIR 
CHROMATIN_REMODELING 
CENTROSOME_ORGANIZATION_AND_BIOGENESIS 
MICROTUBULE_ORGANIZING_CENTER_ORGANIZATION_AND_BIOGENESIS 
GENE SET NAME
REACTOME_ROLE_OF_DCC_IN_REGULATING_APOPTOSIS 
REACTOME_P38MAPK_EVENTS 
REACTOME_EARLY_PHASE_OF_HIV_LIFE_CYCLE 
REACTOME_MRNA_DECAY_BY_3_TO_5_EXORIBONUCLEASE 
KEGG_NICOTINATE_AND_NICOTINAMIDE_METABOLISM 
CHROMATIN_ASSEMBLY_OR_DISASSEMBLY 
ESTABLISHMENT_AND_OR_MAINTENANCE_OF_CHROMATIN_ARCHITECTURE 
PROTEIN_DNA_COMPLEX_ASSEMBLY 
RESPONSE_TO_DNA_DAMAGE_STIMULUS 
CHROMATIN_ASSEMBLY 
CHROMOSOME_ORGANIZATION_AND_BIOGENESIS 
DOUBLE_STRAND_BREAK_REPAIR 
CHROMATIN_REMODELING 
CENTROSOME_ORGANIZATION_AND_BIOGENESIS 
MICROTUBULE_ORGANIZING_CENTER_ORGANIZATION_AND_BIOGENESIS 

Table 3
Coefficientp-value
Intercept 7.0738801 6.47e-12 
IgM -0.0021593 3.78e-07 
MC 1.1925055 0.000501 
IgM:MC 0.0010577 0.000152 
Coefficientp-value
Intercept 7.0738801 6.47e-12 
IgM -0.0021593 3.78e-07 
MC 1.1925055 0.000501 
IgM:MC 0.0010577 0.000152 

Disclosures

No relevant conflicts of interest to declare.

Author notes

*

Asterisk with author names denotes non-ASH members.

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