Back to search

Article

Molecular Characterization of the Highest Risk Adult Patients with Acute Myeloid Leukemia (AML) through Multi-omics Clustering

2021-07-08

Abstract excerpt

<h4>Background: </h4> Acute myeloid leukemia (AML) is a clinically heterogeneous group of diseases with poor outcomes that are partly due to its complex and poorly understood heterogeneity. <h4>Methods: </h4> Here, we use a multi-omics approach to identify a molecular subgroup with the worst response to chemotherapy, and to identify promising drug targets specifically for this AML subgroup. <h4>Results: </h4> Mult...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
917c77f6-714b-5472-9eb8-f1f6348e6924
DOI
10.21203/rs.3.rs-138491/v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Molecular Characterization of the Highest Risk Adult Patients with Acute Myeloid Leukemia (AML) through Multi-omics ClusteringDOI 10.21203/rs.3.rs-138491/v2
Select a neighboring publication to make it the new centre.