Analysis of EVs from patients with advanced pancreatic cancer identifies antigens and miRNAs with predictive value

The identification of predictive factors for treatment of pancreatic cancer (PC) is an unmet clinical need. In the present work, we analyzed blood-derived extracellular vesicles (EVs) from patients with advanced PC in order to find a molecular signature predictive of response to therapy. We analyzed...

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Detalles Bibliográficos
Autores principales: Vannini, Ivan, Rossi, Tania, Melloni, Mattia, Valgiusti, Martina, Urbini, Milena, Passardi, Alessandro, Bartolini, Giulia, Gallio, Chiara, Azzali, Irene, Bandini, Sara, Ancarani, Valentina, Montanaro, Lorenzo, Frassineti, Giovanni Luca, Fabbri, Francesco, Rapposelli, Ilario Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238807/
https://www.ncbi.nlm.nih.gov/pubmed/37273899
http://dx.doi.org/10.1016/j.omtm.2023.05.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238807/
https://www.ncbi.nlm.nih.gov/pubmed/37273899
http://dx.doi.org/10.1016/j.omtm.2023.05.009

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