子宫颈癌关键生物标记物的生物信息学探索及对中药抗肿瘤治疗的启示

目的:从生物信息学角度探索与子宫颈癌(CC)相关的生物标记物,为早期诊断提供依据;同时为中医药治疗提供生物信息学证据并为中药治疗的靶点探索提供方向.方法:从基因表达综合数据库(GEO)中检索和下载CC微阵列数据集,鉴定差异表达基因(DEGs).采用STRING数据库构建宫颈癌DEGs蛋白-蛋白相互作用网络图(PPI网络...

Exploration of the bioinformatics of key biomarkers in cervical cancer and its enlightenment to the anti-tumor treatment of traditional Chinese medicine

Objective: To explore biomarkers related to cervical cancer(CC) from the perspective of bioinformatics,and to provide evidence for the treatment of traditional Chinese medicine(TCM) and provide direction for the exploration of therapeutic targets of TCM. Methods: CC microarray dataset were retrieved and downloaded from gene expression synthesis database(GEO) to identify differentially expressed genes(DEGs). The protein-protein interaction network(PPI network) of DEGs in CC was constructed by STRING database. The key genes(hub genes) were obtained by MCODE in Cytoscape to identify the most important modules in PPI network, and DAVID database was used for gene ontology(GO) analysis and KEGG analysis. In addition, the mechanism of TCM in the treatment of CC was reviewed and compared with bioinformatics markers to verify its effectiveness from the perspective of bioinformatics. Results: A total of 3 microarray datasets(GSE63514, GSE7410, GSE7803) were obtained. Compared with non-cancerous tissues, 65 DEGs were found in CC tissues, among which 15 were hub genes(degree>10) were obtained. GO analysis and KEGG analysis showed that the biological functions of these genes were mainly concentrated in cell division, cell cycle and DNA replication. By reviewing the current literature, we found that many TCMs could act on the above-mentioned markers to inhibit the development of CC, which was consistent with the results of bioinformatics analysis. In addition, some biomarkers were lack of the verification of animal, cell or human experiments, which were also valuable research direction of anti-tumor drugs in the field of Chinese medicine. Conclusion: Microarray analysis can help us predict biomarkers for early diagnosis of CC, provide a basis for the anti-tumor efficacy of TCM, and provide a direction for the research and development of anti-tumor of TCM in the future.