Serum markers in the differential diagnosis of Waldenstrom macroglobulinemia and other IgM monoclonal gammopathies

The performance and applied value of 18F-FDG PET/CT imaging in Waldenstrom macroglobulinemia

Waldenstrom macroglobulinemia (WM) is a rare inert B lymphocyte lymphoma and the role of FDG PET/CT imaging in WM has not been well established. This study aimed to evaluate the metabolic status of WM by 18F-FDG PET/CT imaging. We retrospectively analyzed 20 patients who underwent pretherapy 18F-FDG PET-CT scan. All patients were diagnosed by bone marrow aspiration, laboratory examination and clinical symptoms. Bone marrow involvement was identified with 18F-FDG PET/CT imaging in 16 of 20, and the mean SUVmax of bone marrow was 4.06±0.85, Lymph nodes were involved in 8 of 20 patients, and the mean SUVmax of Lymph nodes was 4.07±1.27. Liver and spleen were involved in one case respectively, with SUVmax being 3.6 and 3.3. 1 case of extramedullary infiltration and 1 case of lymphomatous transformation. 18F-FDG PET/CT imaging not only could reveal the metabolic status of lymph nodes, liver, spleen and bone marrow in WM patients, but also evaluate the status of tumor burden which helps to formulate personalized treatment plans.

Factors associated with serum IgM concentrations: a general adult population study

BACKGROUND AND AIM

To investigate the influence of common factors on serum immunoglobulin M (IgM) concentrations in adults, and clinical associations with high and low values.

METHODS

We measured serum IgM levels using immunonephelometry in a random sample of 1510 individuals (aged 18-91 years, 44.7% male). We obtained data defining metabolic syndrome from all participants, defined atopy by skin prick tests to aeroallergens, and assessed lifestyle factors by questionnaire.

RESULTS

Women showed higher IgM concentrations than men; 95 (6.3%, mostly male) individuals showed low (<0.40 g/L) IgM values, and 64 (4.2%, mostly female) showed high (>2.30 g/L) IgM values. Individuals with abnormal IgM concentrations had no history of opportunistic infections nor a different atopy prevalence. Serum IgM concentrations decreased with age, and obesity was negatively associated with IgM concentrations. Alcohol consumption, smoking, physical activity, and metabolic syndrome had no significant influence in the multivariate analyses.

CONCLUSIONS

Many adults in the general population show abnormally high or low IgM concentrations with no evidence of immunodeficiency-associated diseases. Sex and age should be considered when defining reference IgM concentrations.

Serum markers in the differential diagnosis of Waldenstrom macroglobulinemia and other IgM monoclonal gammopathies

BACKGROUND

IgM monoclonal gammopathy can be present in a broad spectrum of diseases. We evaluated the value of serum markers in the differential diagnosis of Waldenstrom macroglobulinemia (WM) and other types of IgM monoclonal gammopathies.

METHODS

We included patients who were first admitted to hospital and identified as having IgM monoclonal gammopathy by serum immunofixation electrophoresis (sIFE). We evaluated basic clinical features, sIFE, diagnosis, and serum markers. Furthermore, we applied the receiver operating characteristic (ROC) curve to analyze the differential diagnosis value of serum markers for WM. Finally, we used logistic regression and ROC curve to analyze the differential diagnosis value of multimarker combinations to identify WM.

RESULTS

IgM monoclonal gammopathy was most frequently found in patients with Waldenstrom macroglobulinemia, followed by monoclonal gammopathy of undetermined significance (MGUS), B-cell non-Hodgkin Lymphoma (B-NHL), and multiple myeloma (MM). Serum markers showed significant differences among the four diseases. The diagnostic markers LDH, IgM, IgG, IgA, and serum light chain К had higher diagnostic efficiency. Among these markers, serum IgM provided the highest diagnostic efficiency. Additionally, the combined use of all five serum markers provided the most effective diagnosis.

CONCLUSIONS

The five serum markers, LDH, IgM, IgG, IgA, and К, each yielded a specific efficacy in differential diagnosis of WM. The single marker with the highest diagnostic efficiency was the serum IgM level. However, a combination of multiple serum markers was better than the use of a single marker in diagnosing WM. The combined use of all five serum markers provided the most effective diagnosis, with an AUC of .952 and sensitivity and specificity of 87.8% and 86.9%, respectively.