Schwann cell reprogramming and Esophageal squamous cell carcinoma: analysis of transcriptome data
Abstract
Perineural invasion (PNI) occurs when cancer cells infiltrate nerves or the adjacent nervous tissue. The significance of PNI in Esophageal cancer remains controversial. Therefore, identifying new prognostic factors for Esophageal squamous cell carcinoma (ESCC) is important for optimizing treatment and improving outcomes. We investigated transcriptomic datasets and differentially expressed genes (DEGs) through meta-analysis and bioinformatics analysis. The set of core DEGs was subjected to functional and pathway enrichment analyses and integrated with genome-scale human biomolecular networks. We also analyzed how each gene was correlated with patient survival. Our findings indicate that the "cGMP-PKG signaling pathway" and "Cytokine-cytokine receptor interaction" pathways were deregulated in ESCC. These pathways play a role in the regeneration of Schwann cells and the progression of ESCC. Also, different expressions of NCAM1 and s100 genes suggest that Schwann cells are involved in this type of cancer’s PNI. Our results suggest that the tumor can induce the dedifferentiation of Schwann cells, which promotes detachment of cancer cells from the tumor, guiding them to the perineural tissue. This study’s results encourage further studies for clinical and experimental validation of the data found.
Downloads
DECLARATION OF ORIGINALITY AND COPYRIGHTS
I Declare that current article is original and has not been submitted for publication, in part or in whole, to any other national or international journal.
The copyrights belong exclusively to the authors. Published content is licensed under Creative Commons Attribution 4.0 (CC BY 4.0) guidelines, which allows sharing (copy and distribution of the material in any medium or format) and adaptation (remix, transform, and build upon the material) for any purpose, even commercially, under the terms of attribution.
Read this link for further information on how to use CC BY 4.0 properly.