Myelodysplastic syndromes del(5q): Pathogenesis and its therapeutic implications.
Antonella BruzzeseEnrica Antonia MartinoFrancesco MendicinoEugenio LuciaVirginia OlivitoIsabella CapodannoAntonino NeriFortunato MorabitoErnesto VignaMassimo GentilePublished in: European journal of haematology (2024)
Myelodysplastic syndromes (MDS) encompass a heterogeneous set of acquired bone marrow neoplastic disorders characterized by ineffective hematopoiesis within one or more bone marrow lineages. Nearly half of MDS patients carry cytogenetic alterations, with del(5q) being the most prevalent. Since its first description, del(5q) was consistently correlated with a typical clinical phenotype marked by anemia, thrombocytosis, and a low risk of evolving into acute leukemia. Presently, the World Health Organization (WHO) classification of myeloid neoplasms recognizes a specific subtype of MDS known as "myelodysplastic neoplasm with low blast and isolated del(5q)" identified by the sole presence of 5q deletion or in combination with one other abnormality excluding -7/del(7q). Several studies have sought to unravel the biological processes triggered by del(5q) in the development of MDS, revealing the involvement of various genes localized in specific regions of chromosome 5 referred to as common deleted regions (CDR). This intricate biological landscape makes the MDS cells with del(5q) exceptionally sensitive to lenalidomide. Several studies have confirmed the efficacy of lenalidomide in this context. Regrettably, the response to lenalidomide is not conclusive, prompting ongoing research into biological mechanisms that drive patients toward leukemia and strategies to circumvent lenalidomide resistance and disease progression.
Keyphrases
- bone marrow
- newly diagnosed
- end stage renal disease
- chronic kidney disease
- ejection fraction
- acute myeloid leukemia
- mesenchymal stem cells
- prognostic factors
- stem cell transplantation
- induced apoptosis
- low dose
- machine learning
- dendritic cells
- dna methylation
- cell proliferation
- deep learning
- case control
- transcription factor
- copy number