Schwann cell reprogramming and lung cancer progression: a meta-analysis of transcriptome data.

Autor:	Silva VM; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Gomes JA; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Tenório LPG; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., de Omena Neta GC; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., da Costa Paixão K; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Duarte AKF; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., da Silva GCB; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Ferreira RJS; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Koike BDV; Department of Medicine, Federal University of the São Francisco Valley, Petrolina, Brazil., de Sales Marques C; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., da Silva Miguel RD; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., de Queiroz AC; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., Pereira LX; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil., de Carvalho Fraga CA; Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil.
Jazyk:	angličtina
Zdroj:	Oncotarget [Oncotarget] 2019 Dec 31; Vol. 10 (68), pp. 7288-7307. Date of Electronic Publication: 2019 Dec 31 (Print Publication: 2019).
DOI:	10.18632/oncotarget.27204
Abstrakt:	Schwann cells were identified in the tumor surrounding area prior to initiate the invasion process underlying connective tissue. These cells promote cancer invasion through direct contact, while paracrine signaling and matrix remodeling are not sufficient to proceed. Considering the intertwined structure of signaling, regulatory, and metabolic processes within a cell, we employed a genome-scale biomolecular network. Accordingly, a meta-analysis of Schwann cells associated transcriptomic datasets was performed, and the core information on differentially expressed genes (DEGs) was obtained by statistical analyses. Gene set over-representation analyses was performed on core DEGs to identify significantly functional and pathway enrichment analysis between Schwann cells and, lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). DEGs were further integrated with genome-scale human biomolecular networks. miRNAs were proposed by the reconstruction of a transcriptional and post-transcriptional regulatory network. Moreover, microarray-based transcriptome profiling was performed, and the prognostic power of selected dedifferentiated Schwann cell biomolecules was predicted. We observed that pathways associated with Schwann cells dedifferentiation was overexpressed in lung cancer samples. However, genes associated with Schwann cells migration inhibition system were downregulated. Besides, miRNA targeting those pathways were also deregulated. In this study, we report valuable data for further experimental and clinical analysis, because the proposed biomolecules have significant potential as systems biomarkers for screening or for therapeutic purposes in perineural invasion of lung cancer. Competing Interests: CONFLICTS OF INTEREST The authors declare that they have no competing interests. (Copyright: © 2019 Silva et al.)
Databáze:	MEDLINE
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