Predicting leukemic transformation in myelodysplastic syndrome using a transcriptomic signature

Background: For prediction on leukemic transformation of MDS patients, emerging model based on transcriptomic datasets, exhibited superior predictive power to traditional prognostic systems. While these models were lack of external validation by independent cohorts, and the cell origin (CD34(+) sort...

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Detalles Bibliográficos
Autores principales: Guo, Chao, Gao, Ya-Yue, Li, Zhen-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634373/
https://www.ncbi.nlm.nih.gov/pubmed/37953918
http://dx.doi.org/10.3389/fgene.2023.1235315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634373/
https://www.ncbi.nlm.nih.gov/pubmed/37953918
http://dx.doi.org/10.3389/fgene.2023.1235315

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