Bioinformatics and Prognosis Analysis of SP100 Gene in Lung Cancer Associated with Cerebral Infarction

  • Jiacai Lin
Keywords: SP100 Gene, Lung Cancer Associated with Cerebral Infarction, Bioinformatics

Abstract

To study the correlation between SP100 (Nuclear antigen 100 gene) and lung cancer with cerebral infarction, we
propose a possible mechanism. By means of bioinformatics analysis, cell expression data were downloaded from
GEO database, screening and integration were used to construct expression matrix. Then, the lncRNA co-expression
with mRNA are analyzed, and the genes with strong relationship were evaluated by GO and KEGG enrichment
analysis to find possible functions and pathways, and then combined with GO library for GSEA analysis and
screening. Finally, a protein-protein interaction network analysis and clinical data based on lung cancer associated
with cerebral infarction were performed. 2173 genes co-expressed with SP100 were screened from 18 cell expression
data, containing 1688 up-regulated genes and 485 down-regulated genes. High SP100-related pathways were obtained
via GO, KEGG and GESA. Among which the lung cancer-related pathways were tumor necrosis factor alpha (TNF-α)
-mediated signaling pathway, cysteine end peptidase involved apoptosis signaling pathway, and toll-like receptor
signaling pathway. It is concluded that SP100 gene can interact with apoptotic genes to inhibit the risk of lung cancer
associated with cerebral infarction and provide ideas for future research.

Published
2019-09-15