Network analysis reveals essential proteins that regulate sodium-iodide symporter expression in anaplastic thyroid carcinoma
| Autor: | Vahid Haghpanah, Fatemeh Ghafouri, Sayed Mahmoud Sajjadi-Jazi, Yazdan Asgari, Hilda Samimi, Shukoofeh Torabi, Hamed Samadi, Hassan Rakhsh-Khorshid |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Sodium-iodide symporter Science Gene regulatory network SMAD Biology Thyroid Carcinoma Anaplastic Article 03 medical and health sciences 0302 clinical medicine Endocrinology medicine Humans Gene Regulatory Networks Protein Interaction Maps Thyroid Neoplasms Thyroid cancer PI3K/AKT/mTOR pathway health care economics and organizations Cancer Regulation of gene expression Multidisciplinary Symporters Systems Biology medicine.disease Cell biology Gene Expression Regulation Neoplastic 030104 developmental biology 030220 oncology & carcinogenesis Symporter Mutation Medicine Signal transduction Signal Transduction |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020) |
| ISSN: | 2045-2322 |
| Popis: | Anaplastic thyroid carcinoma (ATC) is the most rare and lethal form of thyroid cancer and requires effective treatment. Efforts have been made to restore sodium-iodide symporter (NIS) expression in ATC cells where it has been downregulated, yet without complete success. Systems biology approaches have been used to simplify complex biological networks. Here, we attempt to find more suitable targets in order to restore NIS expression in ATC cells. We have built a simplified protein interaction network including transcription factors and proteins involved in MAPK, TGFβ/SMAD, PI3K/AKT, and TSHR signaling pathways which regulate NIS expression, alongside proteins interacting with them. The network was analyzed, and proteins were ranked based on several centrality indices. Our results suggest that the protein interaction network of NIS expression regulation is modular, and distance-based and information-flow-based centrality indices may be better predictors of important proteins in such networks. We propose that the high-ranked proteins found in our analysis are expected to be more promising targets in attempts to restore NIS expression in ATC cells. |
| Databáze: | OpenAIRE |
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