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European Journal of Gynaecological Oncology (EJGO) is published by IMR Press from Volume 40 Issue 1 (2019). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with S.O.G.
Microarray gene expression profiling for identifying different responses to radiotherapy and chemoradiotherapy in patients with cervical cancer
1 Department of Radiation Oncology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou
2 Department of Radiochemotherapy, Yinzhou Hospital Affiliated to Medical School of Ningbo University, Ningbo
3 Department of Thoracic Surgery, Yinzhou Hospital Affiliated to Medical School of Ningbo University, Ningbo, China
Eur. J. Gynaecol. Oncol. 2017, 38(1), 106–112; https://doi.org/10.12892/ejgo3401.2017
Published: 10 February 2017
Purpose: Cervical cancer, which is treated by radiotherapy (RT) and chemoradiotherapy (CRT), has high morbidity and mortality in women. This study aimed to identify differences in gene response to CRT and RT. Materials and Methods: GSE3578 was downloaded from Gene Expression Omnibus including specimens from 20 RT-treated patients and 19 CRT-treated patients. Differentially expressed genes (DEGs) were identified using siggenes package in R. Protein-protein interaction (PPI) network was visualized by cytoscape. MCODE and cytoscape was used separately to mine and construct modules in the PPI network. Transcription factor (TF)-DEG and miRNA-DEG pairs were predicted and then visualized by cytoscape. Results: Total 22 upregulated and 181 downregulated genes were identified in CRT samples. Several functions were enriched for these DEGs. A module involving ZNF449 and ZNF673 was mined from the PPI network of downregulated genes. In the TF-DEG regulatory networks, downregulated GATA3 (which was modulated by SP1) was also a TF, as well as upregulated CDK6 was regulated by several TFs (e.g. GATA3). Hsa-miR-17, hsa-miR-34a, hsa-miR-124, hsamiR-1185-2-3p, hsa-1185-1-3p, and hsa-let-7f-2-3p were identified as key miRNAs in the miRNA-DEG regulatory network. Conclusion: CRT might cure cervical cancer by acting on those molecules that were more sensitive to CRT than CT.
Protein-protein interaction network