Abstract:

Objective To analyze transcriptome profiling of peripheral blood cells of patients withmetastatic bone pain（MBP）to screen key genes and pathways associated with the pathogenesis of the disease.Methods Peripheral blood samples from 11 lung adenocarcinoma patients with MBP were collected，including 5patients with typical MBP clinical manifestations and visual analogue scale（VAS）≥4（Group MBP）and 6 patientswithout suffering any pain（Group C）. Differentially expressed genes（DEGs）were screened by R language.GO（Gene Ontology）and KEGG（Kyoto Encyclopedia of Genes and Genomes）pathways analysis were performed on theDAVID database. The most significant module and key genes were analyzed by protein⁃protein interaction（PPI）network. Gene analysis results were combined with TCGA clinical follow⁃up data for survival analysis. Results Atotal of 2，332 DEGs were identified，consisting of 1，647 up⁃regulated genes and 685 down⁃regulated genes. Theenriched processes and pathways of DEGs included Chemokine signaling pathway and p53 signaling pathway. ThePPI network analysis and survival analysis identified 4 hub genes（CXCL1，CXCL10，CXCR54 and GNG7）. Amongthem，GNG7 was closely related to the survival rate of lung adenocarcinoma patients. Conclusion GNG7 and certainchemokine/chemokine receptors such as CXCL1，CXCL10 and CXCR4 may be possible predictors and therapeutictargets for MBP，which could provide evidence for clinical treatment.

Key words: lung adenocarcinoma, metastatic bone pain, RNA?seq, bioinformatics