Schwann cell reprogramming and lung cancer progression: a meta-analysis of transcriptome data
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Victor Menezes Silva1, Jessica Alves Gomes1, Liliane Patrícia Gonçalves Tenório1, Genilda Castro de Omena Neta1, Karen da Costa Paixão1, Ana Kelly Fernandes Duarte1, Gabriel Cerqueira Braz da Silva1, Ricardo Jansen Santos Ferreira1, Bruna Del Vechio Koike2, Carolinne de Sales Marques1, Rafael Danyllo da Silva Miguel1, Aline Cavalcanti de Queiroz1, Luciana Xavier Pereira1 and Carlos Alberto de Carvalho Fraga1
1 Department of Medicine, Federal University of Alagoas, Campus Arapiraca, Brazil
2 Department of Medicine, Federal University of the São Francisco Valley, Petrolina, Brazil
|Carlos Alberto de Carvalho Fraga,||email:||[email protected]|
|Luciana Xavier Pereira,||email:||[email protected]|
Keywords: bioinformatic; lung squamous cell carcinoma; lung adenocarcinoma; neuroactive ligand-receptor interaction
Received: June 17, 2019 Accepted: July 29, 2019 Published: December 31, 2019
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.
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