Comparative profiling of whole-cell and exosome samples reveals protein signatures that stratify breast cancer subtypes.
Autor: | Andreu Z; Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. zandreu@fivo.org.; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. zandreu@fivo.org.; Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. zandreu@fivo.org.; Laboratory of Molecular Biology, Foundation of the Valencian Institute of Oncology, Valencia, 46009, Spain. zandreu@fivo.org., Hidalgo MR; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.; Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.; Department of Mathematics, School of Mathematics, University of Valencia, Valencia, 46010, Spain., Masiá E; Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.; CIBERONC, Carlos III Health Institute (IISCIII), Madrid, Spain., Romera-Giner S; Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain., Malmierca-Merlo P; Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain., López-Guerrero JA; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.; Laboratory of Molecular Biology, Foundation of the Valencian Institute of Oncology, Valencia, 46009, Spain.; Department of Pathology, Medical School, Catholic University of Valencia 'San Vicente Mártir', Valencia, 46001, Spain., García-García F; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. fgarcia@cipf.es.; Computational Biomedicine Laboratory, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. fgarcia@cipf.es., Vicent MJ; Polymer Therapeutics Laboratory and Screening Platform, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. mjvicent@cipf.es.; IVO-CIPF Joint Cancer Research Unit, Príncipe Felipe Research Center (CIPF), Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain. mjvicent@cipf.es.; CIBERONC, Carlos III Health Institute (IISCIII), Madrid, Spain. mjvicent@cipf.es. |
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Jazyk: | angličtina |
Zdroj: | Cellular and molecular life sciences : CMLS [Cell Mol Life Sci] 2024 Aug 22; Vol. 81 (1), pp. 363. Date of Electronic Publication: 2024 Aug 22. |
DOI: | 10.1007/s00018-024-05403-z |
Abstrakt: | Identifying novel breast cancer biomarkers will improve patient stratification, enhance therapeutic outcomes, and help develop non-invasive diagnostics. We compared the proteomic profiles of whole-cell and exosomal samples of representative breast cancer cell subtypes to evaluate the potential of extracellular vesicles as non-invasive disease biomarkers in liquid biopsies. Overall, differentially-expressed proteins in whole-cell and exosome samples (which included markers for invasion, metastasis, angiogenesis, and drug resistance) effectively discriminated subtypes; furthermore, our results confirmed that the proteomic profile of exosomes reflects breast cancer cell-of-origin, which underscores their potential as disease biomarkers. Our study will contribute to identifying biomarkers that support breast cancer patient stratification and developing novel therapeutic strategies. We include an open, interactive web tool to explore the data as a molecular resource that can explain the role of these protein signatures in breast cancer classification. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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