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Extracellular Vesicles in Renal Cell Carcinoma: Multifaceted Roles and Potential Applications Identified by Experimental and Computational Methods
- Source :
- Frontiers in Oncology, Vol 10 (2020), Frontiers in Oncology
- Publication Year :
- 2020
- Publisher :
- Frontiers Media SA, 2020.
-
Abstract
- Renal cell carcinoma (RCC) is the most common type of kidney cancer. Increasingly evidences indicate that extracellular vesicles (EVs) orchestrate multiple processes in tumorigenesis, metastasis, immune evasion, and drug response of RCC. EVs are lipid membrane-bound vesicles in nanometer size and secreted by almost all cell types into the extracellular milieu. A myriad of bioactive molecules such as RNA, DNA, protein, and lipid are able to be delivered via EVs for the intercellular communication. Hence, the abundant content of EVs is appealing reservoir for biomarker identification through computational analysis and experimental validation. EVs with excellent biocompatibility and biodistribution are natural platforms that can be engineered to offer achievable drug delivery strategies for RCC therapies. Moreover, the multifaceted roles of EVs in RCC progression also provide substantial targets and facilitate EVs-based drug discovery, which will be accelerated by using artificial intelligence approaches. In this review, we summarized the vital roles of EVs in occurrence, metastasis, immune evasion, and drug resistance of RCC. Furthermore, we also recapitulated and prospected the EVs-based potential applications in RCC, including biomarker identification, drug vehicle development as well as drug target discovery.
- Subjects :
- 0301 basic medicine
renal cell carcinoma
Cancer Research
Cell type
Review
exosomes
Biology
urologic and male genital diseases
medicine.disease_cause
lcsh:RC254-282
Metastasis
03 medical and health sciences
0302 clinical medicine
Immune system
drug targets
medicine
Drug discovery
biomarkers
drug vehicles
artificial intelligence
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
Microvesicles
Drug vehicle
machine learning
030104 developmental biology
Oncology
030220 oncology & carcinogenesis
Drug delivery
Cancer research
extracellular vesicles
Carcinogenesis
Subjects
Details
- ISSN :
- 2234943X
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Frontiers in Oncology
- Accession number :
- edsair.doi.dedup.....1c4068bc5b79d2ab4979c94da81f9fb5