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

Age-Specific Differences in Oncogenic Pathway Dysregulation in Patients With Acute Myeloid Leukemia

27 Oct 2009

Abstract excerpt

PURPOSE: To define the biology driving the aggressive nature of acute myeloid leukemia (AML) in elderly patients. PATIENTS AND METHODS: Clinically annotated microarray data from 425 patients with newly diagnosed de novo AML from two publicly available data sets were analyzed after age-specific cohorts (young or= 55 years; n = 144) were prospectively identified. Gene expression analysis was conducted utilizing...

Read the complete abstract on PubMed

Topics

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

Share to Acute Lymphoblastic Leukemia research
Share to Acute Myeloid Leukemia Research
Share to Retinoids in leukemia and cellular processes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 19858393
DOI: 10.1200/jco.2009.22.2547

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Age-Specific Differences in Oncogenic Pathway Dysregulation in Patients With Acute Myeloid LeukemiaPMID 19858393Read ↗

Defining Acute Myeloid Leukemia Ontogeny in Older Patients.Semantic proximity Read ↗

Aging and comprehensive molecular profiling in acute myeloid leukemia.Semantic proximity Read ↗

Acute Myeloid Leukemia: Aging and EpigeneticsSemantic proximity Read ↗

Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome predictionSemantic proximity Read ↗

Multi-dimensional analysis of adult acute myeloid leukemia cross-continents reveals age-associated trends in mutational landscape and treatment outcomes (Acute Myeloid Leukemia Cooperative Group & Alliance for Clinical Trials in Oncology).Semantic proximity Read ↗

Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning modelsSemantic proximity Read ↗

A precision medicine classification for treatment of acute myeloid leukemia in older patients.Semantic proximity Read ↗

Stratified computational meta-analysis of 2213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signaturesSemantic proximity Read ↗

Age-dependent clinical, molecular, and prognostic differences in patients with AML: a retrospective study.Semantic proximity Read ↗

Clinical impact of the genomic landscape and leukemogenic trajectories in non-intensively treated elderly acute myeloid leukemia patients.Semantic proximity Read ↗

Latest Insights and Progress in the Clinical Management of Elderly Patients with Acute Myeloid Leukemia: From Genetic Advancements to Targeted TreatmentsSemantic proximity Read ↗

Genetics of acute myeloid leukemia in the elderly: mutation spectrum and clinical impact in intensively treated patients aged 75 years or older.Semantic proximity Read ↗

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