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

Construction of an acute myeloid leukemia prognostic model based on m6A-related efferocytosis-related genes

22 Nov 2023

Abstract excerpt

Background: One of the most prevalent hematological system cancers is acute myeloid leukemia (AML). Efferocytosis-related genes (ERGs) and N6-methyladenosine (m6A) have an important significance in the progression of cancer, and the metastasis of tumors. Methods: The AML-related data were collected from The Cancer Genome Atlas (TCGA; TCGA-AML) database and Gene Expression Omnibus (GEO; GSE9476, GSE71014, and...

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 Cancer, Hypoxia, and Metabolism
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38077322
DOI: 10.3389/fimmu.2023.1268090

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

Construction of an acute myeloid leukemia prognostic model based on m6A-related efferocytosis-related genesPMID 38077322Read ↗

m6A genotypes and prognostic signature for assessing the prognosis of patients with acute myeloid leukemia.Semantic proximity Read ↗

Construction of a novel prognostic risk model based on m6A-related miRNAs for acute myeloid leukemiaSemantic proximity Read ↗

Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemiaSemantic proximity Read ↗

Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid LeukemiaSemantic proximity Read ↗

Screen and evaluate the prognostic capacity and clinical value of Necroptosis-related Genes in acute myeloid leukemiaSemantic 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 ↗

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 ↗

Clinical Characteristics, Molecular Analysis and Survival Outcomes of Patients With Extramedullary Acute Myeloid Leukemia: A Retrospective Single-Center Study.Semantic proximity Read ↗

An Immunogenic Cell Death-Based Risk model Predicts Prognosis and Indicates Immune Infiltration Landscape in Acute Myeloid LeukemiaSemantic proximity Read ↗

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

The signature based on seven genomic instability-related genes could predict the prognosis of acute myeloid leukemia patients.Semantic proximity Read ↗

A novel 4‐mRNA signature predicts the overall survival in acute myeloid leukemiaSemantic proximity Read ↗

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