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 of early diagnostic biomarkers via WGCNA in gastric cancer

2 Dec 2021

Abstract excerpt

BACKGROUND: Gastric cancer (GC) is the world's second-leading cause of cancer-related mortality, continuing to make it a serious healthcare concern. Even though the prevalence of GC reduces, the prognosis for GC patients remains poor in terms of a lack of reliable biomarkers to diagnose early GC and predict chemosensitivity and recurrence. METHODS AND MATERIAL: We integrated the gene expression patterns of...

Read the complete abstract on PubMed

Topics

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

Share to Bioinformatics and Genomic Networks
Share to Ferroptosis and cancer prognosis
Share to Gene expression and cancer classification

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34864309
DOI: 10.1016/j.biopha.2021.112477

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 of early diagnostic biomarkers via WGCNA in gastric cancerPMID 34864309Read ↗

Mining of Gene Modules and Identification of Key Genes for early diagnosis of gastric cancerSemantic proximity Read ↗

Weighted Gene Co-expression Network Analysis Reveals ALDH1B1 As a Prognositc Biomarker Involved in Gastric Cancer DevelopmentSemantic proximity Read ↗

Candidate genes in gastric cancer identified by constructing a weighted gene co-expression networkSemantic proximity Read ↗

Identification of hub genes and construction of an mRNA-miRNA-lncRNA network of gastric carcinoma using integrated bioinformatics analysis.Semantic proximity Read ↗

Identification and Validation of the Hub Genes in Gastric Cancer Through Weighted Gene Co-Expression Network AnalysisSemantic proximity Read ↗

ACAN, MDFI, and CHST1 as Candidate Genes in Gastric Cancer: A Comprehensive Insilco AnalysisSemantic proximity Read ↗

Identification of Novel Hub Genes Associated With Gastric Cancer Using Integrated Bioinformatics AnalysisSemantic proximity Read ↗

EXPRESSION INSIGHTS INTO GASTRIC ADENOCARCINOMA: NETWORK ANALYSIS REVEALS KEY HUB GENES AND FUNCTIONAL MODULESSemantic proximity Read ↗

Identification of novel hub genes associated with gastric cancer using integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Hub Genes Associated with the Progression and Prognosis of Gastric Cancer through Systematic Bioinformatics AnalysisSemantic proximity Read ↗

Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learningSemantic proximity Read ↗

Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysisSemantic proximity Read ↗

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