Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation – A meta-analysis

Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation – A meta-analysis

Abstract Background Although interest in the role of extracellular vesicles (EV) in oncology is growing, not all potential aspects have been investigated. In this meta-analysis, data regarding (i) the EV proteome and (ii) the invasion and proliferation capacity of the NCI-60 tumor cell lines (60 cel...

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Bibliographic Details
Main Authors: Matyas Bukva, Gabriella Dobra, Edina Gyukity-Sebestyen, Timea Boroczky, Marietta Margareta Korsos, David G. Meckes, Peter Horvath, Krisztina Buzas, Maria Harmati
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Cell Communication and Signaling
Subjects:
Extracellular vesicles
NCI-60
Invasion
Proliferation
Classification
Prediction
Online Access:https://doi.org/10.1186/s12964-023-01344-5

Internet

https://doi.org/10.1186/s12964-023-01344-5

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