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The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
[A clinical analysis of 798 cases of M protein positive patients]
1Beijing Chaoyang Hospital Affiliated to Capital University of Medical Sciences, Beijing 100020, China.
Objective:
To improve the understanding of the diseases with positive M protein by analyzing 798 cases, so as to reduce the failure and error of diagnosis.
Methods:
The relations of diseases with the types of the disease and age and sex of the patients were analyzed. The presenting symptoms of multiple myeloma(MM) and non-MM were compared. The difference of Ig content among each type of MM and the characteristics of M protein in non-MM were also studied.
Results:
In 798 cases with positive M protein, there were 648 cases of MM (81.2%) and 34 cases of Waldenstrom's macroglobulinemia (WM) (4.3%). The remaining 116 cases (14.5%) were benign or secondary monoclonal gammopathies. The average age of the patients was 58.3 years, and there was no difference of disease incidence between men and women. There was a marked difference between MM and non-MM in the presenting symptoms which were mainly lumbago and bone pain in MM but fever, weight loss and fatigue in non-MM. 648 cases of MM included 290 cases of IgG type (44.8%), 143 of IgA type (22.1%), 138 of light chain type (21.3%), 45 of IgD type (6.9%), 30 of non-secretion type (4.6%) and 2 of double-clonal type (0.3%). There was no marked distinction between kappa and lambda chain except in IgD type. The average M protein content of 116 cases of benign or secondary monoclonal gammopathies was (11.3 +/- 6.5) g/L. 55 of the 116 cases were monoclonal gammopathy of undetermined significance (MGUS), which accounted for 6.9% of all the cases. 35 cases were non-Hodgkin's lymphoma (NHL) (4.4%).
Conclusion:
M protein was mainly discovered in MM; it may also be discovered in MGUS, NHL, WM and other diseases. It is essential to have a better understanding of these diseases.

