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

A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancer

2 Sept 2025

Abstract excerpt

Introduction Colorectal Cancer (CRC) remains a leading cause of cancer-related mortality, characterized by substantial interpatient heterogeneity and limited effective prognostic biomarkers. Methods To address this gap, we constructed a robust prognostic model by integrating over 100 machine learning algorithms—such as LASSO, CoxBoost, and StepCox—based on transcriptomic and clinical data from The Cancer Genome...

Read the complete abstract on PubMed

Topics

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

Share to Cancer-related molecular mechanisms research
Share to Epigenetics and DNA Methylation
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40963600
DOI: 10.3389/fimmu.2025.1653794

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

A machine learning-derived immune-related prognostic model identifies PLXNA3 as a functional risk gene in colorectal cancerPMID 40963600Read ↗

PANoptosis in deciphering immune characteristics and prognosis stratification of CRCSemantic proximity Read ↗

A novel anoikis-related gene prognostic signature and its correlation with the immune microenvironment in colorectal cancerSemantic proximity Read ↗

Network analysis identifies DAPK3 as a potential biomarker for lymphovascular invasion and prognosis of colon adenocarcinomaSemantic proximity Read ↗

Integration of single-cell sequencing and experimental validation identified P2RY13/NF-κB as an immunological factor of patients with colorectal cancerSemantic proximity Read ↗

Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinomaSemantic proximity Read ↗

Establishing and validating a prognostic model for colorectal cancer patients by integrating data from single-cell RNA sequencing and bulk RNA sequencingSemantic proximity Read ↗

Multi-omics-based analysis of the effect of longevity genes on the immune relevance of colorectal cancerSemantic proximity Read ↗

Development of a prognostic prediction model based on damage-associated molecular pattern for colorectal cancer applying bulk RNA-seq analysisSemantic proximity Read ↗

Comprehensive Analysis of the Expression, Prognostic Value and Correlations with Immune Infiltration of PBX Family Members in Colorectal CancerSemantic proximity Read ↗

Constructing prognostic models for colorectal cancer through dynamic profiling of tumor-associated neutrophils via single-cell and bulk RNA sequencingSemantic proximity Read ↗

Colorectal cancer subtyping and immune landscape analysis based on natural killer cell-related genes.Semantic proximity Read ↗

Machine learning-based analysis identifies a 13-gene prognostic signature to improve the clinical outcomes of colorectal cancerSemantic proximity Read ↗

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