Aim

The molecular mechanisms responsible from evolution to malignant monoclonal plasmacytosis is still under investigation. The aim of this prospective study was to analyze the proteomics profile of plasma cells obtained from MGUS, SMM and symptomatic myeloma patients to be able to investigate the differences at protein level between patients with low vs high plasma cell content (PCC).

Material and Methods

Marrow samples were collected from 30 patients newly diagnosed with Multiple Myeloma (n: 28 symptomatic and n: 1 smoldering (SMM)) and n:1 MGUS) at Ankara University Department of Hematology. Plasma cells were isolated by CD138+ selection before protein extraction. The patients were classified mainly in to three groups according to marrow PCC by flow cytometry: group1: 0-9, group 2: 10-20 and group 3: >20 %. The protein profiles of these three groups were constructed and compared via 2D gel electrophoresis by using PDQuest 8.01 analysis. Up/down regulated protein spots were identified with Matrix-assisted laser desorption/ionization mass spectroscopy(MALDI) by Peptide Mass Fingerprinting (PMF) analysis

Results

All protein spots that were detected according to PCC with PDQuest analysis are as follows: 135 spots in group 1 142 spots in group 2 and 145 spots in group 3 Among these spots, 27 spots with significant expression density difference (at least 2-fold) were detected between group 1 and 2, 36 spots between group 1 and group 3 and 28 spots between group 2 and group 3. 36 of these protein spots were were used in peptide isolation by using trypsin. PMF analyses were carried out in MALDI-TOF mass spectrometer. From these spots, eight proteins were identified by using Mascot: Endoplasmin (ERp99), Calreticulin(ERp60), MZB1(Marginal zone B and B1 cell specific protein/pERp1), Actin cytoplasmic1(ACTB), Myeloblastin (Leukocyte proteinase 3), Thioredoxin domain-containing protein 5 (TXNDC5/ERp46), Apoptosis regulator B-cell lymphoma 2 (Bcl-2) and Peroxiredoxin-4 ( Table 1, Figure 1). The remaining 28 spots are under investigation. In group 3 the density of protein spots which contain Calreticulin, MZB1, Myeloblastin and TXCDN5 increased, and which contain Actin and Endoplasmin decreased significantly (Table 1). There was a negative corelation between the Peroxiredoxin expression level and the PCC which resulted in disappearance as the percentage of PCC increased. Moreover, not only Peroxiredoxin, but also BCL-2 protein was detected only in the group with PCC >20 %. To avoid the changes that can be attributable to PC counts equal amounts of protein were analyzed from each group.

Conclusion

Until now there is only one published study utilizing proteomics in MM and reports 268 proteins (Chun Hua Lu et al, J Proteomics Informatics 2010). Ours is the first proteomics study comparing plasma cell proteins with PCC. The functional properties of these proteins are summarized (Table 2). High protein production and folding plus Ca changes in MM support our findings on chaperons and Ca binding protein changes. Out of these eight proteins only bcl-2, MZB1 and calreticulin were previously reported to be involved in the biology of MM.

Figure 1.

2D gel image of identified proteins.

Figure 1.

2D gel image of identified proteins.

Close modal
Table 1

Information on the proteins identified using Mascot and the densities of the protein spots

MASCOT RESULT PDQUEST RESULT 
SSP (Sample Spot Protein) number Protein Score Protein sequence coverage (%) Mass values search /Mass values matched Density of protein spots 
0-9 % 10-20 % +20% 
0706 Calreticulin 102 32 10/8 11938 8046 17929* 
1904 Endoplasmin 100 14 10/10 10214* 3034 5277 
2011 MZB1 106 52 10/7 16090 18768 30697* 
2507 Actin cytoplasmic1 (ACTB) 153 34 10/8 26183 28289 15581* 
2508 TXNDC5 142 24 10/8 14905 14263 21094* 
3108 Peroxiredoxin -4 105 38 10/7 6289 5061 35* 
3110-1 Peroxiredoxin -4 123 58 25/10 37* 6757*a 9671*a 
3110-2 Bcl-2 65 48 25/6 
8110 Myeloblastin 96 33 10/5 10133 8478 15659* 
MASCOT RESULT PDQUEST RESULT 
SSP (Sample Spot Protein) number Protein Score Protein sequence coverage (%) Mass values search /Mass values matched Density of protein spots 
0-9 % 10-20 % +20% 
0706 Calreticulin 102 32 10/8 11938 8046 17929* 
1904 Endoplasmin 100 14 10/10 10214* 3034 5277 
2011 MZB1 106 52 10/7 16090 18768 30697* 
2507 Actin cytoplasmic1 (ACTB) 153 34 10/8 26183 28289 15581* 
2508 TXNDC5 142 24 10/8 14905 14263 21094* 
3108 Peroxiredoxin -4 105 38 10/7 6289 5061 35* 
3110-1 Peroxiredoxin -4 123 58 25/10 37* 6757*a 9671*a 
3110-2 Bcl-2 65 48 25/6 
8110 Myeloblastin 96 33 10/5 10133 8478 15659* 

Comparison between 0-9 % vs 10-20 % and + 20% *P< 0.05, Comparison between 10-20 % vs +20 % aP<0.05

Table 2

Chromosomal location and functional properties of the eight proteins detected ( ref: www.nextprot.org)

ProteinChromosomal LocationChaperoneApoptotic processOxidoreductaseRegulation of Ca(2+)Cell proliferation
Calreticulin 19p13.2   
Endoplasmin 12q23.3   
MZB1 5q31.2 
Actin cytoplasmic1 7p22.1     
TXNDC5 6p24.3    
Peroxiredoxin -4 Xp22.11     
Bcl-2 18q21.33   
Myeloblastin 19p13.3     
ProteinChromosomal LocationChaperoneApoptotic processOxidoreductaseRegulation of Ca(2+)Cell proliferation
Calreticulin 19p13.2   
Endoplasmin 12q23.3   
MZB1 5q31.2 
Actin cytoplasmic1 7p22.1     
TXNDC5 6p24.3    
Peroxiredoxin -4 Xp22.11     
Bcl-2 18q21.33   
Myeloblastin 19p13.3     
Disclosures:

Beksac:Janssen: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees.

Author notes

*

Asterisk with author names denotes non-ASH members.

Sign in via your Institution