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

Identification by Bioinformatics Analysis of Potential Key Genes Related to the Progression and Prognosis of Gastric Cancer

4 May 2022

Abstract excerpt

Objective: Despite increasingly sophisticated medical technology, the prognosis of patients with advanced gastric cancer is still not objectively certain. Therefore, it is urgent to identify new diagnostic and prognostic biomarkers. To identify potential critical genes related to gastric cancer's staging mechanism and to the prognosis of gastric cancer. Methods: Dynamic trend analysis was conducted to find genes...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Gastric Cancer Management and Outcomes
Share to Mechanisms of cancer metastasis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35600357
DOI: 10.3389/fonc.2022.881015

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification by Bioinformatics Analysis of Potential Key Genes Related to the Progression and Prognosis of Gastric CancerPMID 35600357Read ↗

Identification of 7 key genes as biomarkers for prognosis and metastasis of gastric cancerSemantic proximity Read ↗

Identification of Differentially Expressed Genes Reveals BGN Predicting Overall Survival and Tumor Immune Infiltration of Gastric CancerSemantic proximity Read ↗

Identification Of The Molecular Targets And Immunophenotype Of Gastric Cancer By Bioinformatics AnalysisSemantic proximity Read ↗

Identification of a Gene Prognostic Model of Gastric Cancer Based on Analysis of Tumor Mutation Burden.Semantic proximity Read ↗

Comprehensive analysis of tumor mutation burden and immune microenvironment in gastric cancer.Semantic proximity Read ↗

Identification of Key Genes with Prognostic Value in Gastric Cancer by Bioinformatics AnalysisSemantic proximity Read ↗

Comprehensive Analysis of a 14 Immune-related Gene Pairs Signature to Predict the Prognosis of Gastric Cancer and Immune FeaturesSemantic proximity Read ↗

Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Significance of Tumor Mutation Burden Combined With Immune Infiltrates in the Progression and Prognosis of Advanced Gastric CancerSemantic proximity Read ↗

Pyroptosis-related genes expression and nomogram predict overall survival of gastric cancerSemantic proximity Read ↗

Identification of Key Genes in Gastric Cancer by Bioinformatics AnalysisSemantic proximity Read ↗

Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancerSemantic proximity Read ↗

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