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

Integrating multi-omics and machine learning methods reveals the metabolism of amino acids and derivatives-related signature in colorectal cancer

26 Mar 2025

Abstract excerpt

Objective: The metabolism of amino acids and derivatives (MAAD) is closely related to the occurrence and development of colorectal cancer (CRC), but the specific regulatory mechanisms are not yet clear. This study aims to explore the role of MAAD in the progression of colorectal cancer and ultimately identify key molecules that may become potential therapeutic targets for CRC. Methods: This study integrates bulk...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Hypoxia, and Metabolism
Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40206583
DOI: 10.3389/fonc.2025.1565090

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrating multi-omics and machine learning methods reveals the metabolism of amino acids and derivatives-related signature in colorectal cancerPMID 40206583Read ↗

Amino acid metabolism genes associated with immunotherapy responses and clinical prognosis of colorectal cancerSemantic proximity Read ↗

Identification of a Novel Amino Acid Metabolism-Related Gene Risk Signature as a Prognostic and Immunotherapeutic Efficiency Predictor for Colorectal CancerSemantic proximity Read ↗

Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancerSemantic proximity Read ↗

Metabolism-Associated Molecular Classification of Colorectal CancerSemantic proximity Read ↗

Comprehensive analysis of the amino acid metabolism-related gene signature for prognosis, tumor immune microenvironment, and candidate drugs in hepatocellular carcinomaSemantic proximity Read ↗

Construction of an Amino Acid Metabolism-Related Prognostic Model for Colorectal Adenocarcinoma PatientsSemantic proximity Read ↗

Multi-omics analysis-based clinical and functional significance of a novel prognostic and immunotherapeutic gene signature derived from amino acid metabolism pathways in lung adenocarcinomaSemantic proximity Read ↗

Exploiting branched-chain amino acid metabolism and NOTCH3 expression to predict and target colorectal cancer progressionSemantic proximity Read ↗

Elucidating the Reprograming of Colorectal Cancer Metabolism Using Genome-Scale Metabolic ModelingSemantic proximity Read ↗

Identification of One-carbon metabolism-related gene signature and Analysis of the role of m6A and miRNAs/circRNAs for colon adenocarcinomaSemantic proximity Read ↗

Metabolomic analysis reveals key changes in amino acid metabolism in colorectal cancer patientsSemantic proximity Read ↗

A multi-omics machine learning framework in predicting the survival of colorectal cancer patientsSemantic proximity Read ↗

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