Predicting leukemic transformation in myelodysplastic syndrome using a transcriptomic signature

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+ sorted...

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Bibliographic Details
Main Authors: Chao Guo, Ya-Yue Gao, Zhen-Ling Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Genetics
Subjects:
myelodysplastic syndrome
AML transformation
expression
WGCNA
LASSO
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1235315/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2023.1235315/full

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