In Silico Bioinformatics Followed by Molecular Validation Using Archival FFPE Tissue Biopsies Identifies a Panel of Transcripts Associated with Severe Asthma and Lung Cancer.
BCL3
GSEA analysis
LUM
POSTN
asthma
bioinformatics
lung cancer
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
25 Mar 2022
25 Mar 2022
Historique:
received:
06
02
2022
revised:
07
03
2022
accepted:
14
03
2022
entrez:
12
4
2022
pubmed:
13
4
2022
medline:
13
4
2022
Statut:
epublish
Résumé
Severe asthma and lung cancer are both heterogeneous pathological diseases affecting the lung tissue. Whilst there are a few studies that suggest an association between asthma and lung cancer, to the best of our knowledge, this is the first study to identify common genes involved in both severe asthma and lung cancer. Publicly available transcriptomic data for 23 epithelial brushings from severe asthmatics and 55 samples of formalin-fixed paraffin-embedded (FFPE) lung cancer tissue at relatively early stages were analyzed by absolute gene set enrichment analysis (GSEA) in comparison to 37 healthy bronchial tissue samples. The key pathways enriched in asthmatic patients included adhesion, extracellular matrix, and epithelial cell proliferation, which contribute to tissue remodeling. In the lung cancer dataset, the main pathways identified were receptor tyrosine kinase signaling, wound healing, and growth factor response, representing the early cancer pathways. Analysis of the enriched genes derived from the pathway analysis identified seven genes expressed in both the asthma and lung cancer sets:
Identifiants
pubmed: 35406434
pii: cancers14071663
doi: 10.3390/cancers14071663
pmc: PMC8996975
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Al Jalila Foundation
ID : AJF2018113
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