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

The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia

30 Sept 2021

Abstract excerpt

Background: Acute myeloid leukemia (AML) is one of the most common cancers in the world, and oxidative stress is closely related to leukemia. A lot of effort has been made to improve the prognosis of AML. However, the situation remains serious. Hence, we focused on the study of prognostic genes in AML. Materials and Methods: Prognostic oxidative stress genes were screened out. The gene expression profile of AML...

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 Histone Deacetylase Inhibitors Research
Share to Retinoids in leukemia and cellular processes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34659343
DOI: 10.3389/fgene.2021.722064

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid LeukemiaPMID 34659343Read ↗

A novel scoring system for acute myeloid leukemia risk assessment based on the expression levels of six genesSemantic proximity Read ↗

Molecular Characterization of the Highest Risk Adult Patients with Acute Myeloid Leukemia (AML) through Multi-omics ClusteringSemantic proximity Read ↗

A hypoxia risk signature for the tumor immune microenvironment evaluation and prognosis prediction in acute myeloid leukemia.Semantic proximity Read ↗

The ER stress related gene panel guide the prognosis and chemosensitivity in acute myeloid leukemiaSemantic proximity Read ↗

Integrative Analysis of Multi-Omics Identified the Prognostic Biomarkers in Acute Myelogenous LeukemiaSemantic proximity Read ↗

Molecular precision medicine: Multi-omics-based stratification model for acute myeloid 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 ↗

A Novel 85-Gene Expression Signature Predicts Unfavorable Prognosis in Acute Myeloid Leukemia.Semantic proximity Read ↗

Unified classification and risk-stratification in Acute Myeloid LeukemiaSemantic proximity Read ↗

Identification of Molecular and Immune Prognostic Classifiers of Acute Myeloid LeukemiaSemantic proximity Read ↗

A Multi-component Bioinformatics Study on the Construction of a Prognostic Signature of Genes Associated with Diverse Programmed Cell Death in Acute Leukemia and a Multi-perspective Mechanism ExplorationSemantic proximity Read ↗

Identification of an Immune-Related Gene Signature Based on Immunogenomic Landscape Analysis to Predict the Prognosis of Adult Acute Myeloid Leukemia PatientsSemantic proximity Read ↗

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