Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative analysis of drug response and clinical outcome in acute myeloid leukemia

21 Jul 2022

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Acute Myeloid Leukemia Research
Share to Epigenetics and DNA Methylation
Share to Histone Deacetylase Inhibitors Research

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 35868306
DOI: 10.1016/j.ccell.2022.07.002

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analysis of drug response and clinical outcome in acute myeloid leukemiaPMID 35868306Read ↗

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemiaSemantic proximity Read ↗

Network-based analysis with primary cells reveals drug response landscape of acute myeloid leukemia.Semantic proximity Read ↗

Identification of predictive markers of cytarabine response in AML by integrative analysis of gene-expression profiles with multiple phenotypes.Semantic proximity Read ↗

Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemiaSemantic proximity Read ↗

Pharmacogenomics in acute myeloid leukemia.Semantic proximity Read ↗

Identification of a 24-Gene Prognostic Signature That Improves the European LeukemiaNet Risk Classification of Acute Myeloid Leukemia: An International Collaborative StudySemantic proximity Read ↗

Integrated analysis of patient samples identifies biomarkers for venetoclax efficacy and combination strategies in acute myeloid leukemiaSemantic proximity Read ↗

Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemiaSemantic proximity Read ↗

Establishment of a prognostic model based on ER stress-related cell death genes and proposing a novel combination therapy in acute myeloid leukemiaSemantic proximity Read ↗

Immune-related gene signature predicts clinical outcomes and immunotherapy response in acute myeloid leukemia.Semantic proximity Read ↗

Machine learning-based integration develops multi regulated cell death-related signatures for improving outcomes and immune response in acute myeloid leukemiaSemantic proximity Read ↗

Exome-wide association study reveals 7 functional variants associated with ex-vivo drug response in acute myeloid leukemia patientsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.