title: Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining.
abstract: OBJECTIVE
  The aim of this study was to systematically characterize the expression of endometrial cancer- (EC-) associated genes and to analysis the functions, pathways, and networks of EC-associated hub proteins.
  
  
  METHODS
  Gene data for EC were extracted from the PubMed (MEDLINE) database using text mining based on NLP. PPI networks and pathways were integrated and obtained from the KEGG and other databases. Proteins that interacted with at least 10 other proteins were identified as the hub proteins of the EC-related genes network.
  
  
  RESULTS
  A total of 489 genes were identified as EC-related with P < 0.05, and 32 pathways were identified as significant (P < 0.05, FDR < 0.05). A network of EC-related proteins that included 271 interactions was constructed. The 17 proteins that interact with 10 or more other proteins (P < 0.05, FDR < 0.05) were identified as the hub proteins of this PPI network of EC-related genes. These 17 proteins are EGFR, MET, PDGFRB, CCND1, JUN, FGFR2, MYC, PIK3CA, PIK3R1, PIK3R2, KRAS, MAPK3, CTNNB1, RELA, JAK2, AKT1, and AKT2.
  
  
  CONCLUSIONS
  Our data may help to reveal the molecular mechanisms of EC development and provide implications for targeted therapy for EC. However, corrections between certain proteins and EC continue to require additional exploration.
authors.affiliation: Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing 100020, China.
authors.forename: Huiqiao
authors.initials: H
authors.lastname: Gao
authors.affiliation: Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing 100020, China.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D057225:Data Mining / Q000379:methods; D000067777:ELAV-Like Protein 2 / Q000235:genetics*; D016889:Endometrial Neoplasms / Q000235:genetics*; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics; D053263:Gene Regulatory Networks / Q000235:genetics; D005809:Genes, Regulator / Q000235:genetics; D006801:Humans; D015398:Signal Transduction / Q000235:genetics
chemical_list: D000067777:ELAV-Like Protein 2; C086811:ELAVL2 protein, human