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Distinct gene expression profiles and regulation networks of nasal polyps in eosinophilic and non‐eosinophilic chronic rhinosinusitis
Author(s) -
Okada Naoko,
Nakayama Tsuguhisa,
Asaka Daiya,
Inoue Natsuki,
Tsurumoto Tadao,
Takaishi Shinya,
Otori Nobuyoshi,
Kojima Hiromi,
Matsuda Akio,
Oboki Keisuke,
Saito Hirohisa,
Matsumoto Kenji,
Yoshikawa Mamoru
Publication year - 2018
Publication title -
international forum of allergy and rhinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.503
H-Index - 46
eISSN - 2042-6984
pISSN - 2042-6976
DOI - 10.1002/alr.22083
Subject(s) - nasal polyps , eosinophilia , medicine , eosinophilic esophagitis , eosinophilic , immunology , pathogenesis , gene expression , microarray analysis techniques , cancer research , gene , pathology , biology , genetics , disease
Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is known to have 2 phenotypes in East Asia. Eosinophilic CRSwNP (ECRSwNP), defined as tissue eosinophilia and easily recurrent, is distinguished from other non‐eosinophilic CRSwNP (NECRSwNP) types. However, the pathogenesis of each remains unclear. Methods Nasal polyp tissues from ECRS (ECRSwNP) and NECRS (NECRSwNP) patients were obtained, and their comprehensive gene expression profiles were investigated by microarray analysis. Bioinformatics approaches (eg, Ingenuity Pathway Analysis [IPA]) were used to interrogate the data sets. Results Hierarchical clustering and principal component analysis (PCA) collectively showed that ECRSwNP and NECRSwNP had distinct gene expression patterns. Of note, these genes could be divided into 8 distinctive clusters having different expression patterns and functions. Upstream Regulator Analysis revealed that not only T‐helper 2 (Th2) and the eosinophilia–related molecules (interleukin 4 [IL4], IL5, and colony stimulating factor 2 [CSF2]) reported so far, but also cell cycle regulators (cyclin dependent kinase inhibitor 1A [CDKNA1] and cyclin D1 [CCND1]) and a tissue fibrosis–related molecule (transforming growth factor β [TGFβ]) were identified in ECRSwNP. On the other hand, mainly interferons (IFNs) and acute inflammatory cytokines (IL1 and IL6) were predicted as upstream regulators in NECRSwNP. Conclusion These results are useful for understanding the molecular basis of the mechanisms of CRSwNP and point to new targets for developing specific biomarkers and personalized therapeutic strategies for CRSwNP.