| Texto completo | |
| Autor(es): |
Gupta, Shantanu
;
Silveira, Daner A.
;
Lorenzoni, Pedro R.
;
Mombach, Jose Carlos M.
;
Hashimoto, Ronaldo F.
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; v. 25, n. 15, p. 17-pg., 2024-08-01. |
| Resumo | |
It is well established that microRNA-21 (miR-21) targets phosphatase and tensin homolog (PTEN), facilitating epithelial-to-mesenchymal transition (EMT) and drug resistance in cancer. Recent evidence indicates that PTEN activates its pseudogene-derived long non-coding RNA, PTENP1, which in turn inhibits miR-21. However, the dynamics of PTEN, miR-21, and PTENP1 in the DNA damage response (DDR) remain unclear. Thus, we propose a dynamic Boolean network model by integrating the published literature from various cancers. Our model shows good agreement with the experimental findings from breast cancer, hepatocellular carcinoma (HCC), and oral squamous cell carcinoma (OSCC), elucidating how DDR activation transitions from the intra-S phase to the G2 checkpoint, leading to a cascade of cellular responses such as cell cycle arrest, senescence, autophagy, apoptosis, drug resistance, and EMT. Model validation underscores the roles of PTENP1, miR-21, and PTEN in modulating EMT and drug resistance. Furthermore, our analysis reveals nine novel feedback loops, eight positive and one negative, mediated by PTEN and implicated in DDR cell fate determination, including pathways related to drug resistance and EMT. Our work presents a comprehensive framework for investigating cellular responses following DDR, underscoring the therapeutic potential of targeting PTEN, miR-21, and PTENP1 in cancer treatment. (AU) | |
| Processo FAPESP: | 23/14618-8 - Abordagem de biologia de sistemas para modelagem, análise e inferência de redes biológicas |
| Beneficiário: | Shantanu Gupta |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |