ArticleBioMed research international2015
Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- The Prognostic Significance and Co-Expression of Fibroblast Growth Factor Receptor 2 and c-Met in Endometrial Cancer.International journal of women's health · 2025Article
- IGF2BP2-modified circular RNA circCHD7 promotes endometrial cancer progression via stabilizing PDGFRB and activating JAK/STAT signaling pathway.Cancer gene therapy · 2024Article
- Comprehensive Analysis of Prognostic Alternative Splicing Signatures in Endometrial Cancer.Frontiers in genetics · 2020Article
- Bioinformatic analysis of the molecular mechanism underlying bronchial pulmonary dysplasia using a text mining approach.Medicine · 2019Article
- Systematic analysis of molecular mechanisms for HCC metastasis via text mining approach.Oncotarget · 2017Article
- A novel method for crosstalk analysis of biological networks: improving accuracy of pathway annotation.Nucleic acids research · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe 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.
methodsGene 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.
resultsA 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.
conclusionOur 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.