Cargando…
Molecular Characterization of the Highest Risk Adult Patients With Acute Myeloid Leukemia (AML) Through Multi-Omics Clustering
Background: Acute myeloid leukemia (AML) is a clinically heterogeneous group of cancers. While some patients respond well to chemotherapy, we describe here a subgroup with distinct molecular features that has very poor prognosis under chemotherapy. The classification of AML relies substantially on c...
Autores principales: | Nguyen, Trinh, Pepper, John W, Nguyen, Cu, Fan, Yu, Hu, Ying, Chen, Qingrong, Yan, Chunhua, Meerzaman, Daoud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585788/ https://www.ncbi.nlm.nih.gov/pubmed/34777485 http://dx.doi.org/10.3389/fgene.2021.777094 |
Ejemplares similares
-
Multi-omics Pathways Workflow (MOPAW): An Automated Multi-omics Workflow on the Cancer Genomics Cloud
por: Nguyen, Trinh, et al.
Publicado: (2023) -
gcMECM: graph clustering of mutual exclusivity of cancer mutations
por: Hu, Ying, et al.
Publicado: (2021) -
Cohesin regulates alternative splicing
por: Singh, Amit K., et al.
Publicado: (2023) -
Transcriptome Profiling of Pediatric Core Binding Factor AML
por: Hsu, Chih-Hao, et al.
Publicado: (2015) -
The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia
por: Dong, Chao, et al.
Publicado: (2021)