Biomarkers Associated With Metastasis and Prognosis of Lung Cancer Based on Microarray Databiomarkers Associated With Metastasis and Prognosis of Lung Cancer Based on Microarray Data

Autor: Jiang Du, Han Qiao, Dalong Xie
Rok vydání: 2020
Předmět:
DOI: 10.21203/rs.3.rs-52524/v1
Popis: Background: We attempted to discover the biomarker associated with lung cancer metastasis and prognosis.Methods: The mRNA/lncRNA expression profiles were downloaded from the publicly available database, which included three highly metastatic and three weakly metastatic samples. The differentially expressed genes and lncRNAs were analyzed and survival analysis were performed based on the TCGA database. The prognosis associated protein-protein interaction (PPI) network and mRNA-lncRNA coexpression network were constructed followed by the function and pathway enrichment analysis.Results: Total 256 differentially expressed genes and 2 lncRNAs were found to be closely related with prognosis. PPI network was constructed with 222 nodes and 1464 edges. Two modules were divided from PPI network. Genes in Module A were significantly enriched in cell cycle checkpoint, chromosome segregation, and mitotic cell cycle checkpoint. The Module B was closely related with pyridine nucleotide metabolic process, nicotinamide nucleotide metabolic process and carbon metabolism. Coexpression network revealed lncRNA H19 and lncRNA SNHG12 were significant nodes. SNHG12 was closely related with GO:0006260~DNA replication, GO:0055114~oxidation-reduction process and hsa00010:Glycolysis/ Gluconeogenesis. H19 was enriched in GO:0006555~methionine metabolic process, and GO:0046655~folic acid metabolic process.Conclusion: TTK, CCNB1 and lncRNA SNHG12 may be the biomarker associated with metastasis and prognosis of lung adenocarcinoma.
Databáze: OpenAIRE