Since the publication in 2021 of the European Hematology Association (EHA) Clinical Practice Guidelines for the treatment of patients with smouldering multiple myeloma (SMM) and multiple myeloma (MM), developed in collaboration with the European Society for Medical Oncology, a novel international staging system (R2-ISS) has been developed, several prognostic factors are entering clinical practice (such as minimal residual disease, circulating plasma cells and monoclonal protein assessed by mass spectrometry) and, at the time of writing, 14 novel regimens have been approved by the EMA and/or the FDA for the treatment of patients with MM. A multidisciplinary group of experts from the EHA and European Myeloma Network, based in various institutions mostly located in Europe, have updated the previous guidelines and produced algorithms for everyday clinical practice that incorporate levels of evidence and grades of recommendation based on the aforementioned new data. In these Evidence-Based Guidelines, we provide key treatment recommendations for both patients with newly diagnosed MM and those with relapsed and/or refractory MM, including guidance for the use of established drugs as well as contemporary immunotherapies. Novel approaches for the management of patients with SMM focus on those who might require early intervention. Finally, we provide recommendations for myeloma-related complications and adverse events, such as bone disease, renal impairment and infections, as well as for those associated with T cell-mobilizing therapies, such as cytokine-release syndrome and immune effector cell-associated neurotoxicity syndrome.

• MeSH
• lidé MeSH
• medicína založená na důkazech MeSH
• mnohočetný myelom * diagnóza   terapie   MeSH
• směrnice pro lékařskou praxi jako téma * MeSH
• staging nádorů MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

BACKGROUND: Multiple myeloma (MM) represents the second most common hematological malignancy characterized by the infiltration of the bone marrow by plasma cells that produce monoclonal immunoglobulin. While the quality and length of life of MM patients have significantly increased, MM remains a hard-to-treat disease; almost all patients relapse. As MM is highly heterogenous, patients relapse at different times. It is currently not possible to predict when relapse will occur; numerous studies investigating the dysregulation of non-coding RNA molecules in cancer suggest that microRNAs could be good markers of relapse. RESULTS: Using small RNA sequencing, we profiled microRNA expression in peripheral blood in three groups of MM patients who relapsed at different intervals. In total, 24 microRNAs were significantly dysregulated among analyzed subgroups. Independent validation by RT-qPCR confirmed changed levels of miR-598-3p in MM patients with different times to relapse. At the same time, differences in the mass spectra between groups were identified using matrix-assisted laser desorption/ionization time of flight mass spectrometry. All results were analyzed by machine learning. CONCLUSION: Mass spectrometry coupled with machine learning shows potential as a reliable, rapid, and cost-effective preliminary screening technique to supplement current diagnostics.

• Klíčová slova
• Liquid biopsy, MALDI-TOF MS, Machine learning, Multiple myeloma, Relapse, Small RNA seq, microRNA,
• Publikační typ
• časopisecké články MeSH