Protein interaction network drive more group integrated analytic larynx hub protein markers: LYVE1/FBLN5/INMT/DCN/ZFY/RSPO3 protein macromolecule collaborative diagnosis of a new era.

The complex biology of laryngeal cancer makes its early diagnosis and treatment challenging. Understanding the protein interaction network is important to uncover the pathogenesis of laryngeal cancer in order to seek new biomarkers and therapeutic targets. This study integrated multiple laryngeal cancer transcriptome datasets to identify key proteins associated with tumorigenesis, and to explore the functions and interactions of key proteins such as LYVE1, FBLN5, INMT, DCN, ZFY, and RSPO3 in laryngeal cancer. In this paper, an integrated transcriptome analysis and cross-platform data comparison of laryngeal cancer datasets were performed. The integration efficiency of the transcriptome was revealed by dimensionality reduction method, and the differentially expressed genes were visualized and analyzed for functional enrichment. Then, the weighted coexpression network was constructed to identify the core genes, and the protein interaction network deconvolution was carried out, and the central genes were analyzed first. The analysis showed that the integrated transcriptome data revealed the obvious molecular characteristics of laryngeal cancer, and the extracellular matrix remodeling plays an important role in the pathogenesis of laryngeal cancer. Virus-host interaction and proliferative signals dominate the process of laryngeal cancer. The co-expression network topology reveals key modular thresholds in the laryngeal cancer transcriptome. In particular, the ME2 module, as a central hub of tumorigenesis, emphasizes the importance of LYVE1, FBLN5, INMT, DCN, ZFY, and RSPO3 in the tumor network by coordinating the co-expression network. LYVE1, FBLN5, INMT, DCN, ZFY, and RSPO3 have potential biomarker value as central proteins that could be used in the future for the diagnosis and development of treatment strategies for laryngeal cancer.