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

Topics Community

Article

Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics Analysis

23 Apr 2020

Abstract excerpt

Lung squamous cell carcinoma (LUSC) is often diagnosed at the advanced stage with poor prognosis. The mechanisms of its pathogenesis and prognosis require urgent elucidation. This study was performed to screen potential biomarkers related to the occurrence, development and prognosis of LUSC to reveal unknown physiological and pathological processes. Using bioinformatics analysis, the lung squamous cell carcinoma...

Topics

Join the communities discussing this publication.

Cancer-related molecular mechanisms research
Ferroptosis and cancer prognosis
RNA modifications and cancer

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 32340320
DOI: 10.3390/ijms21082994

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics AnalysisPMID 32340320Read ↗

Identification of key genes associated with progression and prognosis for lung squamous cell carcinomaSemantic proximity Read ↗

Identification of Specific Genes for Adenocarcinoma and Squamous Cell of Lung Carcinoma by Bioinformatics AnalysisSemantic proximity Read ↗

Identification of seven-gene signature for prediction of lung squamous cell carcinomaSemantic proximity Read ↗

Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA dataSemantic proximity Read ↗

Integrated bioinformatics analyses identifying key transcriptomes correlated with prognosis and immune infiltrations in lung squamous cell carcinomaSemantic proximity Read ↗

A number of key genes have been identified as being linked with the progression and prognosis of squamous lung carcinoma in the GEO and TCGA databasesSemantic proximity Read ↗

Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signaturesSemantic proximity Read ↗

MicroRNAs associated with lung squamous cell carcinoma: New prognostic biomarkers and therapeutic targetsSemantic proximity Read ↗

A prognostic 4-gene expression signature for squamous cell lung carcinoma.Semantic proximity Read ↗

An integrative investigation on significant mutations and their down-stream pathways in lung squamous cell carcinoma reveals CUL3/KEAP1/NRF2 relevant subtypes.Semantic proximity Read ↗

Signaling pathways and targeted therapies in lung squamous cell carcinoma: mechanisms and clinical trialsSemantic proximity Read ↗

A prognostic 4-lncRNA expression signature for lung squamous cell carcinoma.Semantic proximity Read ↗

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