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 and Clinical Validation of a Novel 4-Gene Prognostic Signature Predicting Survival in Colorectal Cancer

20 May 2020

Abstract excerpt

In this study, we collected genes related to energy metabolism, used gene expression data from public databases to classify molecular subtypes of colon cancer (COAD) based on the genes related to energy metabolism, and further evaluated the relationships between the molecular subtypes and prognosis and clinical characteristics. Differential expression analysis of the molecular subtypes yielded 1948 differentially...

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, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32509568
DOI: 10.3389/fonc.2020.00595

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

Development and Clinical Validation of a Novel 4-Gene Prognostic Signature Predicting Survival in Colorectal CancerPMID 32509568Read ↗

Cell Glycolysis Related Gene Signature Predicts Survival of Patients with Colorectal CancerSemantic proximity Read ↗

Prognostic implications of metabolism-associated gene signatures in colorectal cancerSemantic proximity Read ↗

Mining novel cell glycolysis related gene markers that can predict the survival of colon adenocarcinoma patientsSemantic proximity Read ↗

Identification of Metabolic-Associated Genes for the Prediction of Colon and Rectal AdenocarcinomaSemantic proximity Read ↗

Identification of Five Glycolysis-Related Gene Signature and Risk Score Model for Colorectal CancerSemantic proximity Read ↗

Identification Sixteen Metabolic Genes as Potential Biomarkers for Colon Adenocarcinoma Semantic proximity Read ↗

Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal CancerSemantic proximity Read ↗

Identification Sixteen Metabolic Genes as Potential Biomarkers for Colon AdenocarcinomaSemantic proximity Read ↗

Identification and Validation of a Novel DNA Damage and DNA Repair Related Genes Based Signature for Colon Cancer PrognosisSemantic proximity Read ↗

Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal CancerSemantic proximity Read ↗

Identification and validation of a prognostic risk-scoring model based on sphingolipid metabolism-associated cluster in colon adenocarcinomaSemantic proximity Read ↗

Identification of a prognostic gene signature of colon cancer using integrated bioinformatics analysisSemantic proximity Read ↗

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