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

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

Pathology oncology research : POR - 1 Jan 2021

Zhao Xu, Wu Shuang, Jing Jingjing

Abstract excerpt

Background and Objective: Gastric cancer (GC) is an important health burden and the prognosis of GC is poor. We aimed to explore new diagnostic and prognostic indicators as well as potential therapeutic targets for GC in the current study. Methods: We screened the overlapped differentially expressed genes (DEGs) from GSE54129 and TCGA STAD datasets. Protein-protein interaction network analysis recognized the hub...

Read the complete abstract on PubMed

Topics

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

Share to Antineoplastic Agents
Share to Computational Biology

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Microsatellite Instability

Share to Neutrophil Infiltration

Share to Protein Interaction Maps

Share to Single-Cell Analysis

Share to Stomach Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 34899080
DOI: 10.3389/pore.2021.1609955
PMCID: PMC8654733

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying Diagnostic and Prognostic Biomarkers and Candidate Therapeutic Drugs of Gastric Cancer Based on Transcriptomics and Single-Cell Sequencing.PMID 34899080Read ↗

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

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

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

Identification of Key Genes as Potential Drug Targets for Gastric CancerSemantic 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 ↗

CTGF, FN1, IL-6, THBS1, and WISP1 genes and PI3K-Akt signaling pathway as prognostic and therapeutic targets in gastric cancer identified by gene network modelingSemantic proximity Read ↗

Identification and validation of key genes associated with pathogenesis and prognosis of gastric cancerSemantic proximity Read ↗

Identifying the hub gene in gastric cancer by bioinformatics analysis and in vitro experimentsSemantic proximity Read ↗

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

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

Identification of hub genes correlated with the pathogenesis and prognosis of gastric cancer via bioinformatics methodsSemantic proximity Read ↗

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