Bioinformatics analysis of differentially expressed proteins in human lung adenocarcinoma
10.3760/cma.j.issn.1008-1372.2014.08.012
- VernacularTitle:人肺腺癌转移差异蛋白质生物信息学分析
- Author:
Meiying SHAO
;
Yingfu LIU
;
Zhuchu CHEN
;
Guoqing LI
- Publication Type:Journal Article
- Keywords:
Lung neoplasms/pathology;
Adenocarcinoma/pathology;
Proteomics;
Protein interaction domains and motifs;
Neoplasm metastasis
- From:
Journal of Chinese Physician
2014;16(8):1047-1051
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the biological significance of differentially expressed proteins from human primary lung adenocarcinoma with lymph node metastasis adenocarcinoma (LNM AdC) and without metastasis (non-LNM AdC) according to clinical diagnosis of lymph node metastasis and distant metastasis,with bioinformatics approach.Methods Cytoscape software was used to analyze a functional enrichment analysis and a protein-protein interaction network from differentially expressed proteins from LNM AdC and non-LNM AdC.Results The top biological processes were related to glucose catabolic process,hexose catabolic process,monosaccharide catabolic process,alcohol catabolic process,and cellular carbohydrate catabolic process.The top molecular functions were related to phospholipase inhibitor activity,lipase inhibitor activity,calcium-dependent phospholipid binding,phosphlipase A2 inhibitor activity,and lipid binding.A protein-protein interaction network of differentially expressed proteins was generated with literature data.Conclusions This bioinformatics analysis demonstrated that glucose catabolic process,alcohol catabolic process,calcium-dependent phospholipid binding,phosphlipase A2 inhibitor activity,ACTB,ANXA1,ANXA2,ANXA3,VCP,NPM1,KRT1,and SUMO4 are significantly associated with a lung adenocarcinoma.These network data provide new insights into the metastasis mechanisms of human lung adenocarcinoma.
