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Adipokines as Prognostic Biomarkers in Multiple Myeloma: A Case-Control Study.
Nóra Obajed Al-Ali1,2, Dóra Csige2,3, László Imre Pinczés1,2
1Division of Hematology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Nagyerdei krt. 98, 4032 Debrecen, Hungary.
Multiple myeloma patients show altered levels of adipokines, which are signaling molecules from fat cells. These changes correlate with disease severity and treatment response, offering potential new biomarkers for this incurable cancer.
Area of Science:
- Oncology
- Endocrinology
- Immunology
Background:
- Multiple myeloma (MM) is an incurable plasma cell cancer with variable outcomes.
- Current prognostic systems lack comprehensive disease complexity assessment.
- Bone marrow adipokines influence inflammation, metabolism, and immune interactions, potentially impacting MM progression.
Purpose of the Study:
- To evaluate circulating adipokines and related mediators as potential biomarkers for MM disease activity.
- To assess the association of these biomarkers with treatment response in multiple myeloma patients.
Main Methods:
- A case-control, cross-sectional study involving 40 MM patients and 38 healthy controls.
- Serum levels of eight adipokine-related molecules (adiponectin, leptin, resistin, chemerin, adipsin, TSP-1, PON-1, MPO) were measured using ELISA and multiplex immunoassays.
- Statistical analysis correlated adipokine levels with prognostic markers (sB2M, LDH, albumin, renal function) and treatment response.
Main Results:
- MM patients displayed significantly higher levels of adiponectin, resistin, chemerin, adipsin, TSP-1, and MPO, and lower leptin compared to controls.
- Chemerin and PON-1 correlated with sB2M; TSP-1 with LDH; MPO with M-protein and albumin.
- Adiponectin and TSP-1 were lower in progressive disease than in complete remission, indicating a link to treatment response.
Conclusions:
- Adipokines are dysregulated in MM, showing associations with disease burden, renal function, and treatment response.
- Novel links for TSP-1, PON-1, and adipsin suggest unexplored microenvironmental pathways in MM.
- Adipokine profiling could enhance existing prognostic markers and offer insights into the MM tumor microenvironment.
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