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Título
Molecular profiling of pre- and post- 5-azacytidine myelodysplastic syndrome samples identifies predictors of response
Autor(es)
Palabras clave
agent 5-azacytidine
síndromes mielodisplásicos (SMD)
Clasificación UNESCO
24 Ciencias de la Vida
Fecha de publicación
2024
Citación
González MDR, Chakraborty S, Hernández-Sánchez JM, Diez Campelo M, Park CY, Hernández Rivas JM. Molecular profiling of pre- and post- 5-azacytidine myelodysplastic syndrome samples identifies predictors of response. Front Oncol. 2024 Sep 23;14:1438052. doi: 10.3389/fonc.2024.1438052. PMID: 39376992; PMCID: PMC11456566.
Serie / N.º
24GMO;9
Resumen
[EN]Treatment with the hypomethylating agent 5-azacytidine (AZA) increases survival in high-risk (HR) myelodysplastic syndrome (MDS) patients, but predicting patient response and overall survival remains challenging. To address these issues, we analyzed mutational and transcriptional profiles in CD34+ hematopoietic stem/progenitor cells (HSPCs) before and following AZA therapy in MDS patients. AZA treatment led to a greater reduction in the mutational burden in both blast and hematological responders than non-responders. Blast and hematological responders showed transcriptional evidence of pre-treatment enrichment for pathways such as oxidative phosphorylation, MYC targets, and mTORC1 signaling. While blast non-response was associated with TNFa signaling and leukemia stem cell signature, hematological non-response was associated with cell-cycle related pathways. AZA induced similar transcriptional responses in MDS patients regardless of response type. Comparison of blast responders and non-responders to normal controls, allowed us to generate a transcriptional classifier that could predict AZA response and survival. This classifier outperformed a previously developed gene signature in a second MDS patient cohort, but signatures of hematological responses were unable to predict survival. Overall, these studies characterize the molecular consequences of AZA treatment in MDS HSPCs and identify a potential tool for predicting AZA therapy responses and overall survival prior to initiation of therapy.
URI
ISSN
2234-943X
DOI
10.3389/fonc.2024.1438052
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