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

Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma

1 Apr 2019

Abstract excerpt

BACKGROUND: The incidence of nasopharyngeal carcinoma (NPC) is rare, but a certain amount of mortality remains in NPC patients. Our study aimed to identify candidate genes as biomarkers for NPC screening, diagnosis, and therapy. METHODS: We investigated two microarray profile datasets GSE64634 and GSE12452 to screen the potential differentially expressed genes (DEGs) in NPC. Gene ontology and Kyoto Encyclopedia...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Hypoxia, and Metabolism
Share to Ferroptosis and cancer prognosis
Share to Head and Neck Cancer Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30935420
DOI: 10.1186/s12957-019-1605-9

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

Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinomaPMID 30935420Read ↗

Screening and identification of key biomarkers in nasopharyngeal carcinomaSemantic proximity Read ↗

DNA methylation biomarkers for nasopharyngeal carcinomaSemantic proximity Read ↗

Identification of Key Biomarkers and Potential Therapeutic Drugs in Nasopharyngeal Carcinoma Based on Comprehensive Bioinformatics AnalysisSemantic proximity Read ↗

Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysisSemantic proximity Read ↗

Identification of Key Pathways and Genes in Nasopharyngeal Carcinoma Based on Bioinformatics AnalysisSemantic proximity Read ↗

Identification of genes and pathways in nasopharyngeal carcinoma by bioinformatics analysisSemantic proximity Read ↗

Transcriptional patterns, biomarkers and pathways characterizing nasopharyngeal carcinoma of Southern ChinaSemantic proximity Read ↗

Identifying immune cell infiltration and diagnostic biomarkers for nasopharyngeal carcinoma through bioinformatic analysisSemantic proximity Read ↗

Identification of Four Key Biomarkers and Small Molecule Drugs Innasopharyngeal Carcinoma by Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Whole exome sequencing and transcriptome-wide profiling identify potentially subtype-relevant genes of nasopharyngeal carcinoma.Semantic proximity Read ↗

Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinomaSemantic proximity Read ↗

A Novel Prognostic Model In Oral Squamous Carcinoma: The Functions And Prognostic Values Of Rna Binding ProteinsSemantic proximity Read ↗

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