Screening Driving Transcription Factors in the Processing of Gastric Cancer
Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Gastroenterology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2016/8431480 |
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| _version_ | 1850237060351262720 |
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| author | Guangzhong Xu Kai Li Nengwei Zhang Bin Zhu Guosheng Feng |
| author_facet | Guangzhong Xu Kai Li Nengwei Zhang Bin Zhu Guosheng Feng |
| author_sort | Guangzhong Xu |
| collection | DOAJ |
| description | Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed. Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer. Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis. |
| format | Article |
| id | doaj-art-02599646dd794dad81674d2bc1a282bc |
| institution | OA Journals |
| issn | 1687-6121 1687-630X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Gastroenterology Research and Practice |
| spelling | doaj-art-02599646dd794dad81674d2bc1a282bc2025-08-20T02:01:49ZengWileyGastroenterology Research and Practice1687-61211687-630X2016-01-01201610.1155/2016/84314808431480Screening Driving Transcription Factors in the Processing of Gastric CancerGuangzhong Xu0Kai Li1Nengwei Zhang2Bin Zhu3Guosheng Feng4Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, ChinaDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, ChinaDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, ChinaDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, ChinaDepartment of General Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, ChinaBackground. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer. Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed. Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer. Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis.http://dx.doi.org/10.1155/2016/8431480 |
| spellingShingle | Guangzhong Xu Kai Li Nengwei Zhang Bin Zhu Guosheng Feng Screening Driving Transcription Factors in the Processing of Gastric Cancer Gastroenterology Research and Practice |
| title | Screening Driving Transcription Factors in the Processing of Gastric Cancer |
| title_full | Screening Driving Transcription Factors in the Processing of Gastric Cancer |
| title_fullStr | Screening Driving Transcription Factors in the Processing of Gastric Cancer |
| title_full_unstemmed | Screening Driving Transcription Factors in the Processing of Gastric Cancer |
| title_short | Screening Driving Transcription Factors in the Processing of Gastric Cancer |
| title_sort | screening driving transcription factors in the processing of gastric cancer |
| url | http://dx.doi.org/10.1155/2016/8431480 |
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