Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer
ObjectiveTo explore the regulatory mechanism of immune prognostic factors in thyroid cancer.MethodsBased on the TCGA database and GEO database, this study used bioinformatics methods to study the potential regulatory mechanism of thyroid cancer prognosis, analyzed the differentially expressed genes...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1059591/full |
| _version_ | 1797672425363603456 |
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| author | Yin Tian Tao Xie Xue Sun |
| author_facet | Yin Tian Tao Xie Xue Sun |
| author_sort | Yin Tian |
| collection | DOAJ |
| description | ObjectiveTo explore the regulatory mechanism of immune prognostic factors in thyroid cancer.MethodsBased on the TCGA database and GEO database, this study used bioinformatics methods to study the potential regulatory mechanism of thyroid cancer prognosis, analyzed the differentially expressed genes and differential miRNAs between thyroid cancer and normal paracancerous tissues by R software, and constructed lasso risk factors. The immune prognostic factors of thyroid cancer were obtained from the model, and the miRDB website was used to predict the possibility of differential miRNA target binding of the immune prognostic factors and correlation analysis was performed, and finally verified by cell experiments.ResultsThere were 1413 differentially expressed genes between thyroid cancer and normal paracancerous tissues, among which 21 immune-related genes were prognostic factors with significant differences in expression; lasso risk model obtained AKAP12, APOC1, TIMP3, ADAMTS9, ANK2, HTRA3, SYNDIG1 , ADAMTS5 and DACT1 were nine prognostic factors. A total of 58 differential miRNAs were found in thyroid cancer tissues and non-cancerous tissues. The possibility of differential miRNA targeting and binding of immune prognostic factors on the miRDB website and cell experiments was analyzed.ConclusionsThe potential miRNA regulatory mechanism of immune prognostic factors in thyroid cancer has been explored. |
| first_indexed | 2024-03-11T21:29:52Z |
| format | Article |
| id | doaj.art-5b8a6c344d824666b24975a0b3cfec0e |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-11T21:29:52Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-5b8a6c344d824666b24975a0b3cfec0e2023-09-27T11:39:21ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-12-011210.3389/fonc.2022.10595911059591Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancerYin Tian0Tao Xie1Xue Sun2Department of Pediatric Surgery, Jingzhou Central Hospital, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, Hubei, ChinaDepartment of Anesthesiology, Jingzhou Central Hospital, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, Hubei, ChinaDepartment of Clinical Nutrition, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaObjectiveTo explore the regulatory mechanism of immune prognostic factors in thyroid cancer.MethodsBased on the TCGA database and GEO database, this study used bioinformatics methods to study the potential regulatory mechanism of thyroid cancer prognosis, analyzed the differentially expressed genes and differential miRNAs between thyroid cancer and normal paracancerous tissues by R software, and constructed lasso risk factors. The immune prognostic factors of thyroid cancer were obtained from the model, and the miRDB website was used to predict the possibility of differential miRNA target binding of the immune prognostic factors and correlation analysis was performed, and finally verified by cell experiments.ResultsThere were 1413 differentially expressed genes between thyroid cancer and normal paracancerous tissues, among which 21 immune-related genes were prognostic factors with significant differences in expression; lasso risk model obtained AKAP12, APOC1, TIMP3, ADAMTS9, ANK2, HTRA3, SYNDIG1 , ADAMTS5 and DACT1 were nine prognostic factors. A total of 58 differential miRNAs were found in thyroid cancer tissues and non-cancerous tissues. The possibility of differential miRNA targeting and binding of immune prognostic factors on the miRDB website and cell experiments was analyzed.ConclusionsThe potential miRNA regulatory mechanism of immune prognostic factors in thyroid cancer has been explored.https://www.frontiersin.org/articles/10.3389/fonc.2022.1059591/fullthyroid cancerimmune geneprognosismiRNAtargeted combination |
| spellingShingle | Yin Tian Tao Xie Xue Sun Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer Frontiers in Oncology thyroid cancer immune gene prognosis miRNA targeted combination |
| title | Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| title_full | Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| title_fullStr | Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| title_full_unstemmed | Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| title_short | Analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| title_sort | analysis of the regulatory mechanisms of prognostic immune factors in thyroid cancer |
| topic | thyroid cancer immune gene prognosis miRNA targeted combination |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1059591/full |
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