Background: Despite advances in the treatment of multiple myeloma (MM), it remains an incurable malignant disease. Myeloma genetics is intrinsically complex, but it offers an opportunity to categorize the disease and apply a personalized medicine approach.
Areas Of Agreement: Research into the genetics of myeloma is moving at a fast pace and is highlighting areas and patient cohorts likely to benefit from specific treatment. Targeting residual disease is likely to be crucial to improved clinical outcome.
Areas Of Controversy: Patients in clinical trials are more likely to receive genetic diagnosis than non-trial patients, for whom access is ad hoc and dependent upon regional commissioning arrangements.
Areas Timely For Developing Research: Relating genetics to potential treatment pathways will become crucial for improved myeloma outcomes. Universal access to standardized genetic testing will facilitate modern personalized treatments.
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http://dx.doi.org/10.1093/bmb/ldu041 | DOI Listing |
Nat Commun
January 2025
Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Chronic lymphocytic leukemia is a malignant lymphoproliferative disorder for which primary or acquired drug resistance represents a major challenge. To investigate the underlying molecular mechanisms, we generate a mouse model of ibrutinib resistance, in which, after initial treatment response, relapse under therapy occurrs with an aggressive outgrowth of malignant cells, resembling observations in patients. A comparative analysis of exome, transcriptome and proteome of sorted leukemic murine cells during treatment and after relapse suggests alterations in the proteasome activity as a driver of ibrutinib resistance.
View Article and Find Full Text PDFPharmaceutics
January 2025
Laboratory Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Multiple Myeloma (MM) is a hematologic malignancy caused by clonally expanded plasma cells that produce a monoclonal immunoglobulin (M-protein), a personalized biomarker. Recently, we developed an ultra-sensitive mass spectrometry method to quantify minimal residual disease (MS-MRD) by targeting unique M-protein peptides. Therapeutic antibodies (t-Abs), key in MM treatment, often lead to deep and long-lasting responses.
View Article and Find Full Text PDFPharmaceuticals (Basel)
January 2025
Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
Methylenebisphosphonic derivatives including hydroxy-methylenebisphosphonic species may be of potential biological activity, and a part of them is used in the treatment of bone diseases. Methylenebisphosphonates may be obtained by the Michaelis-Arbuzov reaction of suitably α-substituted methylphosphonates and trialkyl phosphites or phosphinous esters, while the hydroxy-methylene variations are prepared by the Pudovik reaction of α-oxophosphonates and different >P(O)H reagents, such as diethyl phosphite and diarylphosphine oxides. After converting α-hydroxy-benzylphosphonates and -phosphine oxides to the α-halogeno- and α-sulfonyloxy derivatives, they were utilized in the Michaelis-Arbuzov reaction with trialkyl phosphites and ethyl diphenylphosphinite to afford the corresponding bisphosphonate, bis(phosphine oxide) and phosphonate-phosphine oxide derivatives.
View Article and Find Full Text PDFMolecules
January 2025
Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary.
Butyl phenyl--phosphinate that is not available commercially was prepared from phenyl--phosphinic acid by three methods: by alkylating esterification (i), by microwave-assisted direct esterification (ii), and unexpectedly, by thermal esterification (iii). Considering the green aspects, selectivity and scalability, the thermal variation seemed to be optimal. However, there was need for prolonged heating.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Bioinformatics Department, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, Ayios Dometios, 2371 Nicosia, Cyprus.
Background: The accurate staging of multiple myeloma (MM) is essential for optimizing treatment strategies, while predicting the progression of asymptomatic patients, also referred to as monoclonal gammopathy of undetermined significance (MGUS), to symptomatic MM remains a significant challenge due to limited data. This study aimed to develop machine learning models to enhance MM staging accuracy and stratify asymptomatic patients by their risk of progression.
Methods: We utilized gene expression microarray datasets to develop machine learning models, combined with various data transformations.
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