Differential Interactome Proposes Subtype-Specific Biomarkers and Potential Therapeutics in Renal Cell Carcinomas
| Autor: | Aysegul Caliskan, Raghu Sinha, Kazim Yalcin Arga, Gizem Gulfidan |
|---|---|
| Přispěvatelé: | İstinye Üniversitesi, Eczacılık Fakültesi, Eczacılık Temel Bilimleri Bölümü, Caliskan Iscan, Aysegul, Caliskan, Aysegul, Gulfidan, Gizem, Sinha, Raghu, Arga, Kazim Yalcin |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
diagnostic biomarker Cell Medicine (miscellaneous) lcsh:Medicine Interactome Receptor tyrosine kinase Article Transcriptome 03 medical and health sciences 0302 clinical medicine Renal cell carcinoma medicine Mesenchymal–epithelial transition prognostic biomarker protein interactome Virtual screening biology renal cancers lcsh:R Cancer medicine.disease virtual screening 030104 developmental biology medicine.anatomical_structure 030220 oncology & carcinogenesis docking biology.protein Cancer research |
| Zdroj: | Journal of Personalized Medicine, Vol 11, Iss 158, p 158 (2021) Journal of Personalized Medicine Volume 11 Issue 2 |
| ISSN: | 2075-4426 |
| Popis: | Although many studies have been conducted on single gene therapies in cancer patients, the reality is that tumor arises from different coordinating protein groups. Unveiling perturbations in protein interactome related to the tumor formation may contribute to the development of effective diagnosis, treatment strategies, and prognosis. In this study, considering the clinical and transcriptome data of three Renal Cell Carcinoma (RCC) subtypes (ccRCC, pRCC, and chRCC) retrieved from The Cancer Genome Atlas (TCGA) and the human protein interactome, the differential protein–protein interactions were identified in each RCC subtype. The approach enabled the identification of differentially interacting proteins (DIPs) indicating prominent changes in their interaction patterns during tumor formation. Further, diagnostic and prognostic performances were generated by taking into account DIP clusters which are specific to the relevant subtypes. Furthermore, considering the mesenchymal epithelial transition (MET) receptor tyrosine kinase (PDB ID: 3DKF) as a potential drug target specific to pRCC, twenty-one lead compounds were identified through virtual screening of ZINC molecules. In this study, we presented remarkable findings in terms of early diagnosis, prognosis, and effective treatment strategies, that deserve further experimental and clinical efforts. WOS:000622701300001 33672271 Q1 |
| Databáze: | OpenAIRE |
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