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Published on: November 26, 2018
[Analysis of IgG Subclass in Blood Serum between Multiple Myeloma and Lymphoma Patients and Its Correlation with
Jia-Qiang Wang1, Juan Zhang2, Zhi-Bin Wang1
1Department of Laboratory Medicine, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu 610072, Sichuan Province, China.
Objective:
To investigate the expression of immunoglobulin G (IgG) and its subclasses in patients with multiple myeloma (MM) and lymphoma (LYM) and its correlation with blood cell parameters.
Methods:
129 patients with multiple myeloma and 113 patients with lymphoma diagnosed treated in Sichuan people's Hospital from January to December 2019 were selected and the total IgG and subclass IgG1, IgG2, IgG3 and IgG4, and some parameters of peripheral blood routine in patients were retrospective analyzed. Independent sample t test or nonparametric Mann Whitney U test were used for comparison between the groups. The relationship between IgG subclass and blood cell parameters was analyzed by correlation analysis. For the bivariate normal distribution data, Pearson correlation coefficient was calculated. For bivariate non normal distribution data, the Spearman correlation coefficient was calculated.
Results:
IgG1 and IgG2 were significantly higher in patients with multiple myeloma than in patients with lymphoma (P=0.001, 0.000, respectively), but IgG3 and IgG4 were significantly lower than in patients with lymphoma (P=0.000, 0.000, respectively), and there was no significant difference for total serum IgG between the two groups (P=0.717). The results showed that the IgG4 content of male patients with multiple myeloma and lymphoma was significantly higher than that of female patients (Z=-3.191, P=0.001); the age, M%, E% of the MM patients were significantly higher than those of the patients with lymphoma (P=0.000, 0.005, 0.019), but WBC, RBC, Hb were significantly lower than those of the patients with lymphoma (P=0.013, 0.000, respectively). The results of Spearman correlation analysis showed that RBC and Hb were decreased with the increasing of IgG and IgG1 in the MM patients(r=0.254, -0.272, -0.248 and -0.289, P=0.004, 0.002, 0.005 and 0.001). With the increasing of IgG4 in the serum of patients with lymphoma, RBC and Hb showed the trendy of decreased (r=-0.240 and, -0.251, respectively, P=0.010, 0.007).
Conclusion:
The detection of IgG subclass and the correlation between IgG subclass and blood cell parameters are great value in the diagnosis and pathogenesis of multiple myeloma and lymphoma.
