Surface antigens are commonly used in flow cytometry assays for the diagnosis of multiple myeloma (MM). Some of these are directly involved in MM pathogenesis or interactions with the microenvironment, but most are used for either diagnostic or prognostic purposes. In a previous study, we showed that in-vitro, CD24-positive plasma cells exhibit a less tumorigenic phenotype. Here, we assessed the prognostic importance of CD24 expression in patients newly diagnosed with MM as it correlates to their clinical course. Immunophenotyping by flow cytometry of 124 patients uniformly treated by a bortezomib-based protocol was performed. The expression of CD24, CD117, CD19, CD45, and CD56 in bone marrow PCs was tested for correlations to clinical parameters. None of the CD markers correlated with the response rates to first-line therapy. However, patients with elevated CD24+ expression on their PCs at diagnosis had a significantly longer PFS (p = 0.002) and OS (p = 0.044). In contrast, the expression of CD117, CD56, or CD45 was found to have no prognostic value; CD19 expression was inversely correlated with PFS alone (p < 0.001) and not with OS. Thus, elevated CD24 expression on PCs appears to be strongly correlated with survival and can be used as a single-surface antigenic prognostic factor in MM.
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http://dx.doi.org/10.3390/jcm11102913 | DOI Listing |
J Comput Biol
December 2024
Biotechnology Institute, Universidad Nacional de Colombia, Bogota, Colombia.
In this study, we develop a comprehensive model to investigate the intricate relationship between the bone remodeling process, tumor growth, and bone diseases such as multiple myeloma. By analyzing different scenarios within the Basic Multicellular Unit, we uncover the dynamic interplay between remodeling and tumor progression. The model developed developed in the paper are based on the well accepted Komarova's and Ayati's models for the bone remodeling process, then these models were modified to include the effects of the tumor growth.
View Article and Find Full Text PDFOncoimmunology
December 2025
Cancer Immunotherapy Unit (UNICA), Department of Immunology, Hospital Universitario12 de Octubre, Madrid, Spain.
Despite recent advances in immunotherapy against B cell malignancies such as BCMA (B cell maturation antigen) and CD19-targeted treatments using soluble T cell-engaging (TCE) antibodies or chimeric antigen receptor T cells (CAR-T), there is still an important number of patients experiencing refractory/relapsed (R/R) disease. Approaches to avoid tumor-intrinsic mechanisms of resistance such as immune pressure-mediated antigen downmodulation, are being broadly investigated. These strategies include BCMA/CD19 dual-targeting therapies, which may be of particular interest to patients with B cell lymphoma and multiple myeloma, where a specific double-positive immature subpopulation is commonly associated with poor prognosis and poor response to current treatments.
View Article and Find Full Text PDFFront Oncol
December 2024
Atrium Health Levine Cancer Institute, Wake Forest University School of Medicine, Charlotte, NC, United States.
Pharmgenomics Pers Med
December 2024
Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Multiple myeloma (MM) is a hematological malignancy characterized by the clonal proliferation of malignant plasma cells within the bone marrow. The disease's complexity is underpinned by a variety of genetic and molecular abnormalities that drive its progression.
Methods: This review was conducted through a state-of-The-art literature search, primarily utilizing PubMed to gather peer-reviewed articles.
Semin Hematol
November 2024
Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address:
Etiological links to multiple myeloma (MM) remain poorly understood, though emerging evidence suggests a significant hereditary component. This review integrates current literature on inherited factors contributing to MM risk, synthesizing both epidemiologic and genomic data. We examine familial clustering patterns, assess genome-wide association studies (GWAS) that reveal common genetic variants linked to MM, and explore rare, high-penetrance variants in key susceptibility genes.
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