Researchers from the Department of Bioinformatics at the Cyprus Institute of Neurology and Genetics (CING) have published a groundbreaking study in the scientific journal Cancers, offering new insights into the accurate staging and early detection of Multiple Myeloma (MM), a complex and life-threatening blood cancer.
According to a press release from CING, the research was conducted by Dr. Nestor Karathanasis, a postdoctoral researcher in the Department of Bioinformatics, in collaboration with Dr. George Spyrou, the department’s director. The study was funded by the European program ELMUMY, which investigates risk factors associated with the progression of monoclonal gammopathies (MGUS) into multiple myeloma.
This study used machine learning methods to analyze gene expression data from multiple datasets, aiming to improve the accuracy of disease staging and identify individuals at higher risk of progression. By finding key patterns and pathways involved in the disease, this research offers new tools for earlier intervention and personalized care.
Multiple myeloma is a type of blood cancer that affects plasma cells in the bone marrow, leading to abnormal protein production, bone damage, anemia, immune system weakening, and kidney problems.
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Source: CNA
