Comparative profiling of whole-cell and exosome samples reveals protein signatures that stratify breast cancer subtypes.

Fecha de publicación:

Autores de CIPF

Participantes ajenos a CIPF

  • Andreu Z
  • Hidalgo MR
  • Masiá E
  • Romera-Giner S
  • Malmierca-Merlo P
  • López-Guerrero JA
  • García-García F

Grupos de Investigación

Abstract

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.

Datos de la publicación

ISSN/ISSNe:
1420-682X, 1420-9071

CELLULAR AND MOLECULAR LIFE SCIENCES  SPRINGER BASEL AG

Tipo:
Article
Páginas:
363-363
PubMed:
39172142

Citas Recibidas en Web of Science: 2

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Keywords

  • Breast cancer-derived exosomes, Disease biomarkers, GO analysis, Network analysis, Proteomic signatures

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