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
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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Auteurs

Laila Salameh (L)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.
Dubai Health Authority, Dubai 4545, United Arab Emirates.

Poorna Manasa Bhamidimarri (PM)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.

Narjes Saheb Sharif-Askari (N)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.

Youssef Dairi (Y)

Dubai Health Authority, Dubai 4545, United Arab Emirates.

Sarah Musa Hammoudeh (SM)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.

Amena Mahdami (A)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.

Mouza Alsharhan (M)

Dubai Health Authority, Dubai 4545, United Arab Emirates.

Syed Hammad Tirmazy (SH)

Dubai Health Authority, Dubai 4545, United Arab Emirates.

Surendra Singh Rawat (SS)

Collage of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates.

Hauke Busch (H)

Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck 23562, Germany.

Qutayba Hamid (Q)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.
Meakins-Christie Laboratories, Research Institute of the McGill University Healthy Center, Faculty of Medicine, Montreal, QC H3A 0G4, Canada.

Saba Al Heialy (S)

Collage of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai 505055, United Arab Emirates.
Meakins-Christie Laboratories, Research Institute of the McGill University Healthy Center, Faculty of Medicine, Montreal, QC H3A 0G4, Canada.

Rifat Hamoudi (R)

Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.
Division of Surgery and Interventional Science, University College London, London NW3 2QG, UK.

Bassam Mahboub (B)

Dubai Health Authority, Dubai 4545, United Arab Emirates.

Classifications MeSH