Background/objectives: Treatments for multiple myeloma (MM) have expanded in the last decade, and the overall survival (OS) of MM patients (pts) is in continuous improvement. With the availability of new treatments and the use of high-dose chemotherapy, followed by autologous hematopoietic stem cell transplantation (ASCT), the median OS of newly diagnosed MM (NDMM) pts is 6-8 years. To date, approximately 50% and 28% of MM patients are still alive at 5 years and 10 years. Few data are reported concerning the characteristics of the long-term survival MM pts.
Methods: the aim of this observational multicenter study is to analyze the clinical profile of MM pts who have survived 10 years or longer, to identify possible predictors of long-term survival.
Conclusions: this is a real-life observation of a cohort of 344 long-term survivors with MM. The median age of the entire cohort was 59 years (range 27-83). The median years from diagnosis was 13.4 (range 11.3-16.3). Our analysis identified age more than 60 years, hypoalbuminemia at diagnosis, and a number of anti-myeloma therapies equal or more than 3 as significant independent prognostic factors for reduced OS. These finding underline the importance of designing prospective studies to identify clinical, biological, and molecular characteristics that could be used to better stratify newly diagnosed multiple myeloma pts in order to incorporate reproducible biomarkers and to identify tailored optimal target therapies.
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http://dx.doi.org/10.3390/cancers17030354 | DOI Listing |
The development of targeted therapy for patients with multiple myeloma (MM) is hampered by the low frequency of actionable genetic abnormalities. Gain or amplification of chromosome 1q (1q+) is the most frequent arm-level copy number gain in patients with MM and is associated with higher risk of progression and death despite recent therapeutic advances. Thus, developing targeted therapy for MM patients with 1q+ stands to benefit a large portion of patients in need of more effective management.
View Article and Find Full Text PDFJ Immunol
January 2025
Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Natural killer (NK) cells are a promising approach for cellular cancer immunotherapy and are being investigated to treat patients with multiple myeloma (MM). We found that MM patient blood NK cell frequencies were normal with increased activating receptors and cytotoxic granules, without evidence of functional exhaustion. Despite this activated state, MM target cells were resistant to conventional NK cells by unclear mechanisms.
View Article and Find Full Text PDFCancer Rep (Hoboken)
March 2025
UOC Haematology, ASL Viterbo-Santa Rosa Hospital, Viterbo, Italy.
Background: Multiple myeloma (MM) is more often characterized by clonal plasma cell proliferation restricted to the bone marrow. However, a small percentage of patients with MM develop extramedullary disease (EMD): this type of localization is found in 1.7%-4.
View Article and Find Full Text PDFHCA Healthc J Med
February 2025
St David's North Austin Medical Center, Austin, Texas.
Background: The adaptive immune system consists of T and B lymphocytes, with some B lymphocytes further differentiating into plasma cells that secrete antibodies and make up the humoral immune system. Extramedullary plasmacytoma, mucosa-associated lymphoid tissue (MALT) lymphoma, and plasmablastic lymphoma are all plasma cell-rich lymphoid neoplasms that rarely present in the female genital tract. To date, few case reports of these malignancies arising within the uterine cervix exist.
View Article and Find Full Text PDFInt J Med Inform
March 2025
Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746, Iran; Medical Image & Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746, Iran. Electronic address:
Background And Objective: In the traditional diagnostic process for multiple myeloma cancer, a pathologist screens prepared blood samples using a microscope to detect, classify, and count plasma cells. This manual approach is time-consuming, exhausting, and prone to human errors. Consequently, medical experts and researchers are highly interested in any tool that partially or entirely automates this process.
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