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

Comprehensive analysis reveals CTHRC1, SERPINE1, VCAN and UPK1B as the novel prognostic markers in gastric cancer

1 Jul 2020

Abstract excerpt

Background: Gastric cancer (GC) is one of the most common malignant diseases worldwide, the incidence and mortality for GC is still high, thus it is urgently important to identify the effective and reliable biomarkers to evaluate GC and the underlying molecular events. Methods: The study integrated four Gene Expression Omnibus (GEO) profile datasets and The Cancer Genome Atlas (TCGA) dataset to screen...

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 FOXO transcription factor regulation
Share to Mechanisms of cancer metastasis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35117779
DOI: 10.21037/tcr-20-211

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

Comprehensive analysis reveals CTHRC1, SERPINE1, VCAN and UPK1B as the novel prognostic markers in gastric cancerPMID 35117779Read ↗

Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancerSemantic proximity Read ↗

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

Cuproptosis-related gene SERPINE1 is a prognostic biomarker and correlated with immune infiltrates in 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 pivotal genes associated with the prognosis of gastric carcinoma through integrated analysisSemantic proximity Read ↗

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

Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancerSemantic proximity Read ↗

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

Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancerSemantic proximity Read ↗

Diagnosis and Prognostic Value of SPARC in Gastric Carcinoma: database mining for GCTASemantic proximity Read ↗

Identification of SERPINE1, PLAU and ACTA1 as biomarkers of head and neck squamous cell carcinoma based on integrated bioinformatics analysisSemantic proximity Read ↗

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

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