ArticleLeukemia2019
Flow cytometry for fast screening and automated risk assessment in systemic light-chain amyloidosis.
Article in Leukemia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Proving Bone Marrow Plasma Cell Clonality by Flow Cytometry: An Important Tool in the Diagnosis of Immunoglobulin Light-Chain Amyloidosis.Biomedicines · 2025Article
- Antibody Aggregation: A Problem Within the Biopharmaceutical Industry and Its Role in AL Amyloidosis Disease.The protein journal · 2025Review
- Immunophenotypic Characteristics of Bone Marrow Microenvironment Cellular Composition at the Biochemical Progression of Multiple Myeloma.Journal of clinical medicine · 2022Article
- Biomarkers in AL Amyloidosis.International journal of molecular sciences · 2021Review
- Reference Values to Assess Hemodilution and Warn of Potential False-Negative Minimal Residual Disease Results in Myeloma.Cancers · 2021Article
- New developments in diagnosis, risk assessment and management in systemic amyloidosis.Blood reviews · 2020Review
- Transcriptional profiling of circulating tumor cells in multiple myeloma: a new model to understand disease dissemination.Leukemia · 2020Article
- Minimal residual disease (mrd) in multiple myeloma: prognostic and therapeutic implications (including imaging).HemaSphere · 2019Article
Corrections and comments
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Authors and funding
33 authors at 19 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early diagnosis and risk stratification are key to improve outcomes in light-chain (AL) amyloidosis. Here we used multidimensional-flow-cytometry (MFC) to characterize bone marrow (BM) plasma cells (PCs) from a series of 166 patients including newly-diagnosed AL amyloidosis (N = 94), MGUS (N = 20) and multiple myeloma (MM, N = 52) vs. healthy adults (N = 30). MFC detected clonality in virtually all AL amyloidosis (99%) patients. Furthermore, we developed an automated risk-stratification system based on BMPCs features, with independent prognostic impact on progression-free and overall survival of AL amyloidosis patients (hazard ratio: ≥ 2.9;P ≤ .03). Simultaneous assessment of the clonal PCs immunophenotypic protein expression profile and the BM cellular composition, mapped AL amyloidosis in the crossroad between MGUS and MM; however, lack of homogenously-positive CD56 expression, reduction of B-cell precursors and a predominantly-clonal PC compartment in the absence of an MM-like tumor PC expansion, emerged as hallmarks of AL amyloidosis (ROC-AUC = 0.74;P < .001), and might potentially be used as biomarkers for the identification of MGUS and MM patients, who are candidates for monitoring pre-symptomatic organ damage related to AL amyloidosis. Altogether, this study addressed the need for consensus on how to use flow cytometry in AL amyloidosis, and proposes a standardized MFC-based automated risk classification ready for implementation in clinical practice.
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