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

Integration of mult-omics and nucleotide metabolism reprogramming signature analysis reveals gastric cancer immunological and prognostic features

16 Jun 2024

Abstract excerpt

BACKGROUND: Gastric cancer is a frequent and lethal solid tumor that has a poor prognosis and treatment result. Reprogramming of nucleotide metabolism is a characteristic of cancer development and progression. METHODS: We used a variety of machine learning techniques to create a novel nucleotide metabolism-related index (NMRI) using gastric cancer sample data obtained from the TCGA and GEO databases. This index...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Immunotherapy and Biomarkers
Share to Ferroptosis and cancer prognosis
Share to Immune cells in cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38880869
DOI: 10.1186/s12935-024-03396-0

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integration of mult-omics and nucleotide metabolism reprogramming signature analysis reveals gastric cancer immunological and prognostic featuresPMID 38880869Read ↗

The combined signatures of the tumour microenvironment and nucleotide metabolism-related genes provide a prognostic and therapeutic biomarker for gastric cancerSemantic proximity Read ↗

Identification of a Lipid Homeostasis Related Genes Signature in Predicting the Prognosis, Immunity, and Chemotherapeutic Effect for Patients With Gastric CancerSemantic proximity Read ↗

In silico development and validation of a novel glucose and lipid metabolism-related gene signature in gastric cancerSemantic proximity Read ↗

Molecular characterization of metabolic subtypes of gastric cancer based on metabolism-related lncRNASemantic proximity Read ↗

Metabolic and immune-related gene signatures: Predictive stratification and prognostic implications in gastric cancer.Semantic proximity Read ↗

Discovery of a novel lipid metabolism-related gene signature to predict outcomes and the tumor immune microenvironment in gastric cancer by integrated analysis of single-cell and bulk RNA sequencingSemantic proximity Read ↗

Construction of a Prognostic Model for Lung Adenocarcinoma Based on Nucleotide Metabolism-Related Genes and Bioinformatics AnalysisSemantic proximity Read ↗

Development and verification of a manganese metabolism- and immune-related genes signature for prediction of prognosis and immune landscape in gastric cancerSemantic proximity Read ↗

Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.Semantic proximity Read ↗

Fatty Acid Metabolism Signature Contributes to the Molecular Diagnosis of a Malignant Gastric Cancer Subtype with Poor Prognosis and Lower Mutation Burden.Semantic 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 ↗

Comprehensive Multi-Omics Analysis Reveals NPC2 and ITGAV Genes as Potential Prognostic Biomarkers in Gastrointestinal CancersSemantic proximity Read ↗

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