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

Development of a poor-prognostic-mutations derived immune prognostic model for acute myeloid leukemia.

Scientific reports - 1 Mar 2021

Dao Feng-Ting, Wang Jun, Yang Lu, Qin Ya-Zhen

Abstract excerpt

Leukemia cell-intrinsic somatic mutations and cytogenetic abnormalities have been used to define risk categories in acute myeloid leukemia (AML). In addition, since the immune microenvironment might influence prognosis and somatic mutations have been demonstrated to modulate the immune microenvironment in AML, there is need for developing and evaluating an immune prognostic model (IPM) derived from mutations...

Read the complete abstract on PubMed

Topics

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

Share to Databases, Genetic
Share to Disease-Free Survival
Share to Leukemia, Myeloid, Acute

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Immunological

Share to Neoplasm Proteins

Share to Prognosis

Share to Survival Rate

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 33649342
DOI: 10.1038/s41598-021-84190-0
PMCID: PMC7921432

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Development of a poor-prognostic-mutations derived immune prognostic model for acute myeloid leukemia.PMID 33649342Read ↗

The potential novel immune-related prognostic factors for acute myeloid leukemiaSemantic proximity Read ↗

Identification of Molecular and Immune Prognostic Classifiers of 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 ↗

Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insightsSemantic proximity Read ↗

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

Construction of Immune-Related Prognostic Signatures in Acute Myeloid LeukemiaSemantic proximity Read ↗

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

A Prognostic Model of Seven Immune Genes to Predict Overall Survival in Childhood Acute Myeloid LeukemiaSemantic proximity Read ↗

Identification of a Prognostic Gene Signature Associated with Microenvironment in Acute Myeloid LeukemiaSemantic proximity Read ↗

A Gene Signature Comprising Seven Pyroptosis-Related Genes Predicts Prognosis in Pediatric Patients with Acute Myeloid Leukemia.Semantic proximity Read ↗

Cytogenetic and Molecular Genetic Driven Prediction of Response to First-Treatment and Prognosis in Acute Myeloid Leukemia: A Retrospective Cohort Study.Semantic proximity Read ↗

Integrative Genomic and Immune Profiling to Identify and Characterize High-Risk Subgroups in Acute Myeloid Leukemia: Development of a 20-Gene Predictive Signature and Its Clinical Implications.Semantic proximity Read ↗

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