Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network
Objective This study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers. Methods RNA-seq and miRNA-seq data of endometrial carcinoma were downloaded fro...
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| Format: | Article |
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PeerJ Inc.
2018-12-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/6091.pdf |
| _version_ | 1797419756253347840 |
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| author | Ming-Jun Zheng Rui Gou Wen-Chao Zhang Xin Nie Jing Wang Ling-Ling Gao Juan-Juan Liu Xiao Li Bei Lin |
| author_facet | Ming-Jun Zheng Rui Gou Wen-Chao Zhang Xin Nie Jing Wang Ling-Ling Gao Juan-Juan Liu Xiao Li Bei Lin |
| author_sort | Ming-Jun Zheng |
| collection | DOAJ |
| description | Objective This study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers. Methods RNA-seq and miRNA-seq data of endometrial carcinoma were downloaded from the TCGA database. Edge.R package was used to screen differentially expressed genes. A database was searched to determine differentially expressed lncRNA-miRNA and miRNA-mRNA pairs, to construct the topological network of ceRNA, and to elucidate the key RNAs that are for a prognosis of survival. Results We screened out 2632 mRNAs, 1178 lncRNAs and 189 miRNAs that were differentially expressed. The constructed ceRNA network included 97 lncRNAs, 20 miRNAs and 73 mRNAs. Analyzing network genes for associations with prognosies revealed 169 prognosis-associated RNAs, including 92 lncRNAs, 16miRNAs and 61 mRNAs. Conclusion Our results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma. |
| first_indexed | 2024-03-09T06:51:50Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:51:50Z |
| publishDate | 2018-12-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj.art-1ec879a19ce74e7294b000b1756fa8122023-12-03T10:22:40ZengPeerJ Inc.PeerJ2167-83592018-12-016e609110.7717/peerj.6091Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA networkMing-Jun Zheng0Rui Gou1Wen-Chao Zhang2Xin Nie3Jing Wang4Ling-Ling Gao5Juan-Juan Liu6Xiao Li7Bei Lin8Department of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaDepartment of Gynaecology and Obstetrics, Shengjing hospital affiliated to China Medical University, Liaoning, ChinaObjective This study aims to reveal the regulation network of lncRNAs-miRNAs-mRNA in endometrial carcinoma (EC), to investigate the underlying mechanisms of EC occurrence and progression, to screen prognostic biomarkers. Methods RNA-seq and miRNA-seq data of endometrial carcinoma were downloaded from the TCGA database. Edge.R package was used to screen differentially expressed genes. A database was searched to determine differentially expressed lncRNA-miRNA and miRNA-mRNA pairs, to construct the topological network of ceRNA, and to elucidate the key RNAs that are for a prognosis of survival. Results We screened out 2632 mRNAs, 1178 lncRNAs and 189 miRNAs that were differentially expressed. The constructed ceRNA network included 97 lncRNAs, 20 miRNAs and 73 mRNAs. Analyzing network genes for associations with prognosies revealed 169 prognosis-associated RNAs, including 92 lncRNAs, 16miRNAs and 61 mRNAs. Conclusion Our results reveal new potential mechanisms underlying the carcinogenesis and progression of endometrial carcinoma.https://peerj.com/articles/6091.pdfEndometrial carcinomaceRNA networkPrognostic biomarker |
| spellingShingle | Ming-Jun Zheng Rui Gou Wen-Chao Zhang Xin Nie Jing Wang Ling-Ling Gao Juan-Juan Liu Xiao Li Bei Lin Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network PeerJ Endometrial carcinoma ceRNA network Prognostic biomarker |
| title | Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network |
| title_full | Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network |
| title_fullStr | Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network |
| title_full_unstemmed | Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network |
| title_short | Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network |
| title_sort | screening of prognostic biomarkers for endometrial carcinoma based on a cerna network |
| topic | Endometrial carcinoma ceRNA network Prognostic biomarker |
| url | https://peerj.com/articles/6091.pdf |
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