Detection of breast cancer metastasis-related genes by co-word analysis and network analysis
10.3969/j.issn.1671-3982.2016.03.006
- VernacularTitle:共词分析及网络分析法探测乳腺癌转移相关基因
- Author:
Jingjing CHENG
;
Yuefang HOU
- Publication Type:Journal Article
- Keywords:
Co-word analysis;
Network analysis;
Breast cancer metastasis;
Gene;
Ucinet;
Visualization
- From:Chinese Journal of Medical Library and Information Science
2016;25(3):35-39
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide the reference for early diagnosis and treatment of breast cancer by detecting its metastasis-related genes.Methods Breast cancer metastasis-related genes were searched from PubMed-covered papers with their conception matched according to the MetaMap.A gene-gene matrix was generated using data a-nalysis software.An interaction network of breast cancer metastasis-related genes was established using Ucinet 6 and its related indexes were analyzed.Results tp53, thra, erbb2, esr1, cdh1, egfr, nr4al and cd69 were the core genes for breast cancer metastasis.Conclusion Co-word analysis can show breast cancer metastasis-related genes. However, the role of cd69 in breast cancer metastasis remains unclear and is thus necessary to be further confirmed.
