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

Differentially expressed genes ASPN, COL1A1, FN1, VCAN and MUC5AC are potential prognostic biomarkers for gastric cancer

21 Jan 2019

Abstract excerpt

Gastric cancer (GC) is one of the most common malignancies worldwide. To the best of our knowledge, no biomarkers have been widely accepted for the early diagnosis and prognostic prediction of GC. This study aimed to identify potential novel prognostic biomarkers for GC. The dataset GSE29272, which originates from the public database Gene Expression Omnibus, was employed in the present study. The online tool...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis
Share to Galectins and Cancer Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30867749
DOI: 10.3892/ol.2019.9952

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Differentially expressed genes ASPN, COL1A1, FN1, VCAN and MUC5AC are potential prognostic biomarkers for gastric cancerPMID 30867749Read ↗

Identification of Potential Diagnostic and Prognostic Biomarkers for Gastric Cancer Based on Bioinformatic AnalysisSemantic proximity Read ↗

Identification of Potential Biomarkers and Therapy Targets involved in Gastric Cancer Using Bioinformatics AnalysisSemantic proximity Read ↗

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

Identifying Diagnostic and Prognostic Biomarkers and Candidate Therapeutic Drugs of Gastric Cancer Based on Transcriptomics and Single-Cell Sequencing.Semantic proximity Read ↗

Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.Semantic proximity Read ↗

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

Investigation of the underlying hub genes and molecular pathogenesis in gastric cancer by integrated bioinformatic analysesSemantic proximity Read ↗

Identification of potential key genes in gastric cancer using bioinformatics analysisSemantic proximity Read ↗

Bioinformatics Analysis of Hub Genes and Potential Therapeutic Agents Associated with Gastric CancerSemantic proximity Read ↗

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

Identification of the Differentially Expressed Genes and Prognostic Associations in Single-Cell RNA Sequencing Data of Gastric CancerSemantic proximity Read ↗

Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosisSemantic proximity Read ↗

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