Despite the wide variety of existing therapies, multiple myeloma (MM) remains a disease with dismal prognosis. Choosing the right treatment for each patient remains one of the major challenges. A new approach being explored is the use of ex vivo models for personalized medicine. Two-dimensional culture or animal models often fail to predict clinical outcomes. Three-dimensional ex vivo models using patients' bone marrow (BM) cells may better reproduce the complexity and heterogeneity of the BM microenvironment. Here, we review the strengths and limitations of currently existing patient-derived ex vivo three-dimensional MM models. We analyze their biochemical and biophysical properties, molecular and cellular characteristics, as well as their potential for drug testing and identification of disease biomarkers. Furthermore, we discuss the remaining challenges and give some insight on how to achieve a more biomimetic and accurate MM BM model. Overall, there is still a need for standardized culture methods and refined readout techniques. Including both myeloma and other cells of the BM microenvironment in a simple and reproducible three-dimensional scaffold is the key to faithfully mapping and examining the relationship between these players in MM. This will allow a patient-personalized profile, providing a powerful tool for clinical and research applications.
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http://dx.doi.org/10.3390/ijms232112888 | DOI Listing |
Hematol Oncol
January 2025
Babak Myeloma Group, Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Multiple myeloma is a plasma cell malignancy characterized by an abnormal increase in monoclonal immunoglobulins. Despite significant advances in treatment, some patients progress to more aggressive forms of multiple myeloma, including extramedullary disease or plasma cell leukemia. Although the exact molecular mechanisms are not known, several studies have confirmed the involvement of small extracellular vesicle-enriched microRNAs in multiple myeloma progression.
View Article and Find Full Text PDFCureus
December 2024
Department of Internal Medicine, Bursa Uludag University, Bursa, TUR.
Introduction Multiple myeloma (MM) is a complex plasma cell malignancy characterized by clonal proliferation and monoclonal immunoglobulin production. Despite the availability of several prognostic markers for MM, many are challenging to implement routine clinical practice due to cost, complexity, or lack of standardization. Red cell distribution width (RDW), a cost-effective and routinely measured parameter in complete blood counts, has gained increasing attention as a prognostic marker due to its association with disease severity and outcomes in MM.
View Article and Find Full Text PDFCureus
December 2024
Hematology Oncology, Miami Cancer Institute, Miami, USA.
Patients with multiple myeloma (MM) often experience infections due to aberrant immunoglobulin production by malignant plasma cells and immunosuppressive therapeutic interventions that are used to treat the condition. A rare but serious infection that may occur in these patients is Cryptococcus, an encapsulated fungus that typically infects immunocompromised individuals. Cryptococcus infections often present as pneumonia but can disseminate to the central nervous system, potentially causing meningitis.
View Article and Find Full Text PDFJ Blood Med
January 2025
Division of Hematology and Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Systemic sclerosis (SSc) is a multi-system disease characterized by a dysregulated immune system. Autologous hematopoietic cell transplantation (AHCT) is the only treatment that has been shown to confer significant benefit in controlling disease and improving survival for patients with SSc. A diagnosis of multiple myeloma (MM) after the diagnosis of SSc is rare and optimal treatment in such cases remains unclear.
View Article and Find Full Text PDFJ Adv Pract Oncol
July 2024
Dana-Farber Cancer Institute, Boston, Massachusetts.
Background: Although advancements in multiple myeloma therapy have rapidly evolved, pervasive racial and social inequities prevent uniform benefit across diverse patient populations. This affects access to US Food and Drug Administration-approved treatments and to clinical studies. The impact of health-care inequities is not well understood and thus, the development of effective strategies is inadequate.
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