| BMC Endocrine Disorders | |
| Targeting the inward rectifier potassium channel 5.1 in thyroid cancer: artificial intelligence-facilitated molecular docking for drug discovery | |
| Research | |
| Chengcheng Peng1  Deenraj Kush Dhoomun2  Xiaoqing Cui3  Menglu Dong3  Xue Yang3  Yonglin Wu3  Ge Wang3  Yaying Du3  Shaojie Xu3  Hanning Li3  Xingrui Li3  Tao Xu4  | |
| [1] Department of Thyroid and Breast Surgery, Huanggang Central Hospital, Huanggang, Hubei, People’s Republic of China;Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Laboratory of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Laboratory of General Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Laboratory of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Laboratory of General Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China;Department of Obstetrics and Gynecology, Cancer Biology research center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of China; | |
| 关键词: Differentiated papillary thyroid cancer; Thyroid-stimulating hormone receptor; Artificial intelligence; Deep docking; Computer-aided drug discovery; KCNJ16/Kir5.1; | |
| DOI : 10.1186/s12902-023-01360-z | |
| received in 2023-01-19, accepted in 2023-05-04, 发布年份 2023 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundRecurrent and metastatic thyroid cancer is more invasive and can transform to dedifferentiated thyroid cancer, thus leading to a severe decline in the 10-year survival. The thyroid-stimulating hormone receptor (TSHR) plays an important role in differentiation process. We aim to find a therapeutic target in redifferentiation strategies for thyroid cancer.MethodsOur study integrated the differentially expressed genes acquired from the Gene Expression Omnibus database by comparing TSHR expression levels in the Cancer Genome Atlas database. We conducted functional enrichment analysis and verified the expression of these genes by RT-PCR in 68 pairs of thyroid tumor and paratumor tissues. Artificial intelligence-enabled virtual screening was combined with the VirtualFlow platform for deep docking.ResultsWe identified five genes (KCNJ16, SLC26A4, TG, TPO, and SYT1) as potential cancer treatment targets. TSHR and KCNJ16 were downregulated in the thyroid tumor tissues, compared with paired normal tissues. In addition, KCNJ16 was lower in the vascular/capsular invasion group. Enrichment analyses revealed that KCNJ16 may play a significant role in cell growth and differentiation. The inward rectifier potassium channel 5.1 (Kir5.1, encoded by KCNJ16) emerged as an interesting target in thyroid cancer. Artificial intelligence-facilitated molecular docking identified Z2087256678_2, Z2211139111_1, Z2211139111_2, and PV-000592319198_1 (-7.3 kcal/mol) as the most potent commercially available molecular targeting Kir5.1.ConclusionThis study may provide greater insights into the differentiation features associated with TSHR expression in thyroid cancer, and Kir5.1 may be a potential therapeutic target in the redifferentiation strategies for recurrent and metastatic thyroid cancer.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202308156114969ZK.pdf | 6692KB | ||
| Fig. 7 | 1046KB | Image | |
| MediaObjects/12888_2023_4637_MOESM2_ESM.docx | 18KB | Other | |
| 40517_2023_256_Article_IEq105.gif | 1KB | Image | |
| 40517_2023_256_Article_IEq107.gif | 1KB | Image | |
| Fig. 5 | 1199KB | Image | |
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| Fig. 4 | 214KB | Image | |
| Fig. 19 | 180KB | Image |
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