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

Construction of the Interaction Network of Hub Genes in the Progression of Barrett’s Esophagus to Esophageal Adenocarcinoma

1 Apr 2023

Abstract excerpt

Introduction: Esophageal adenocarcinoma (EAC) is one of the histologic types of esophageal cancer with a poor prognosis. The majority of EAC originate from Barrett's esophagus (BE). There are few studies focusing on the dynamic progression of BE to EAC. Methods: R software was used to analyze differentially expressed genes (DEGs) based on RNA-seq data of 94 normal esophageal squamous epithelial (NE) tissues, 113...

Read the complete abstract on PubMed

Topics

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

Share to Esophageal Cancer Research and Treatment
Share to Ferroptosis and cancer prognosis
Share to Macrophage Migration Inhibitory Factor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37077220
DOI: 10.2147/jir.s403928

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

Construction of the Interaction Network of Hub Genes in the Progression of Barrett’s Esophagus to Esophageal AdenocarcinomaPMID 37077220Read ↗

Identification of potential core genes in esophageal carcinoma using bioinformatics analysisSemantic proximity Read ↗

Transcriptomic Profiling Identified Hub Genes Linking Barrett’s Esophagus and Esophageal AdenocarcinomaSemantic proximity Read ↗

Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell CarcinomaSemantic proximity Read ↗

Identification of four genes and biological characteristics of esophageal squamous cell carcinoma by integrated bioinformatics analysisSemantic proximity Read ↗

Systematic identification of key functional modules and genes in esophageal cancerSemantic proximity Read ↗

Identification of crucial genes correlated with esophageal cancer by integrated high-throughput data analysisSemantic proximity Read ↗

Integrated PPI- and WGCNA-Retrieval of Hub Gene Signatures Shared Between Barrett's Esophagus and Esophageal AdenocarcinomaSemantic proximity Read ↗

Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics AnalysisSemantic proximity Read ↗

Screening of Hub Genes Associated with Lung Adenocarcinoma by Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI’s Gene Expression Omnibus (GEO) Database: A Bioinformatics AnalysisSemantic proximity Read ↗

Comprehensive Analysis and Identification of Key Driver Genes for Distinguishing Between Esophageal Adenocarcinoma and Squamous Cell CarcinomaSemantic proximity Read ↗

Identification of the Potential Biomarkers in Barrett’S Esophagus Derived Esophageal AdenocarcinomaSemantic proximity Read ↗

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