Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer
Thyroid cancer is one of the most common endocrine malignancies. Multiple evidences revealed that a large number of microRNAs and mRNAs were abnormally expressed in thyroid cancer tissues. These microRNAs and mRNAs play important roles in tumorigenesis. In the present study, we identified 72 microRN...
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PeerJ Inc.
2018-05-01
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| author | Jianing Tang Deguang Kong Qiuxia Cui Kun Wang Dan Zhang Qianqian Yuan Xing Liao Yan Gong Gaosong Wu |
| author_facet | Jianing Tang Deguang Kong Qiuxia Cui Kun Wang Dan Zhang Qianqian Yuan Xing Liao Yan Gong Gaosong Wu |
| author_sort | Jianing Tang |
| collection | DOAJ |
| description | Thyroid cancer is one of the most common endocrine malignancies. Multiple evidences revealed that a large number of microRNAs and mRNAs were abnormally expressed in thyroid cancer tissues. These microRNAs and mRNAs play important roles in tumorigenesis. In the present study, we identified 72 microRNAs and 1,766 mRNAs differentially expressed between thyroid cancer tissues and normal thyroid tissues and evaluated their prognostic values using Kaplan-Meier survival curves by log-rank test. Seven microRNAs (miR-146b, miR-184, miR-767, miR-6730, miR-6860, miR-196a-2 and miR-509-3) were associated with the overall survival. Among them, three microRNAs were linked with six differentially expressed mRNAs (miR-767 was predicted to target COL10A1, PLAG1 and PPP1R1C; miR-146b was predicted to target MMP16; miR-196a-2 was predicted to target SYT9). To identify the key genes in the protein-protein interaction network , we screened out the top 10 hub genes (NPY, NMU, KNG1, LPAR5, CCR3, SST, PPY, GABBR2, ADCY8 and SAA1) with higher degrees. Only LPAR5 was associated with the overall survival. Multivariate analysis demonstrated that miR-184, miR-146b, miR-509-3 and LPAR5 were an independent risk factors for prognosis. Our results of the present study identified a series of prognostic microRNAs and mRNAs that have the potential to be the targets for treatment of thyroid cancer. |
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| language | English |
| last_indexed | 2024-03-09T06:40:15Z |
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| spelling | doaj.art-6cdb1b1361064ce78e767c57339f01d42023-12-03T10:51:20ZengPeerJ Inc.PeerJ2167-83592018-05-016e467410.7717/peerj.4674Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancerJianing Tang0Deguang Kong1Qiuxia Cui2Kun Wang3Dan Zhang4Qianqian Yuan5Xing Liao6Yan Gong7Gaosong Wu8Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of General Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, ChinaThyroid cancer is one of the most common endocrine malignancies. Multiple evidences revealed that a large number of microRNAs and mRNAs were abnormally expressed in thyroid cancer tissues. These microRNAs and mRNAs play important roles in tumorigenesis. In the present study, we identified 72 microRNAs and 1,766 mRNAs differentially expressed between thyroid cancer tissues and normal thyroid tissues and evaluated their prognostic values using Kaplan-Meier survival curves by log-rank test. Seven microRNAs (miR-146b, miR-184, miR-767, miR-6730, miR-6860, miR-196a-2 and miR-509-3) were associated with the overall survival. Among them, three microRNAs were linked with six differentially expressed mRNAs (miR-767 was predicted to target COL10A1, PLAG1 and PPP1R1C; miR-146b was predicted to target MMP16; miR-196a-2 was predicted to target SYT9). To identify the key genes in the protein-protein interaction network , we screened out the top 10 hub genes (NPY, NMU, KNG1, LPAR5, CCR3, SST, PPY, GABBR2, ADCY8 and SAA1) with higher degrees. Only LPAR5 was associated with the overall survival. Multivariate analysis demonstrated that miR-184, miR-146b, miR-509-3 and LPAR5 were an independent risk factors for prognosis. Our results of the present study identified a series of prognostic microRNAs and mRNAs that have the potential to be the targets for treatment of thyroid cancer.https://peerj.com/articles/4674.pdfMeta-analysismicroRNAThyroid cancermRNALPAR5 |
| spellingShingle | Jianing Tang Deguang Kong Qiuxia Cui Kun Wang Dan Zhang Qianqian Yuan Xing Liao Yan Gong Gaosong Wu Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer PeerJ Meta-analysis microRNA Thyroid cancer mRNA LPAR5 |
| title | Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer |
| title_full | Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer |
| title_fullStr | Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer |
| title_full_unstemmed | Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer |
| title_short | Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer |
| title_sort | bioinformatic analysis and identification of potential prognostic micrornas and mrnas in thyroid cancer |
| topic | Meta-analysis microRNA Thyroid cancer mRNA LPAR5 |
| url | https://peerj.com/articles/4674.pdf |
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