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Updated: Nov 8, 2025

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Interphase Fluorescence in situ Hybridization of Bone Marrow Smears of Multiple Myeloma
Published on: April 15, 2022
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A multivariate analysis of Multiple Myeloma subtype plasma cells
Martina Bonsignore1, Sebastiano Trusso2, Claudia De Pasquale3
1Department of Mathematical and Computational Sciences, Physical Science and Earth Science, University of Messina, Italy.
Summary
Micro-Raman spectroscopy distinguishes Multiple Myeloma (MM) subtypes by analyzing plasma cells. This technique identifies distinct protein and lipid profiles, offering a faster diagnostic tool for cancer cell identification.
Area of Science:
- Biomedical Spectroscopy
- Cancer Cell Biology
- Immunophenotyping
Background:
- Identifying Multiple Myeloma (MM) cell subtypes and their diversity is challenging due to limited detailed methods.
- Existing literature often lacks comprehensive information on immunophenotypic variations in MM plasma cells.
Purpose of the Study:
- To investigate the potential of micro-Raman spectroscopy for differentiating MM plasma cell subtypes.
- To correlate spectral differences with specific immunophenotypes (CD45+/CD38+/CD138- vs. CD45-/CD38+/CD138+).
Main Methods:
- Bone marrow samples from MM patients were collected.
- Plasma cells were sorted using flow cytometry based on CD45, CD38, and CD138 expression.
- Confocal micro-Raman spectroscopy was employed to analyze spectral data.
- Principal Component Analysis (PCA) was used to analyze spectral variations.
Main Results:
- Distinct spectral differences were observed between the two MM plasma cell populations.
- PCA, visualized through loading vectors PC1 and PC2, clearly differentiated the cell sets.
- Spectral variations were attributed to changes in protein and lipid contributions within the cells.
Conclusions:
- Confocal micro-Raman spectroscopy can differentiate between Multiple Myeloma subtype plasma cells.
- This technique shows promise as a diagnostic tool for rapid cell identification.
- It aids in assessing intracellular biochemical changes in cancer cells.

