Comparative Proteomics Analysis of Exosomes Identifies Key Pathways and Protein Markers Related to Breast Cancer Metastasis

Int J Mol Sci. 2023 Feb 17;24(4):4033. doi: 10.3390/ijms24044033.

Abstract

Proteomics analysis of circulating exosomes derived from cancer cells represents a promising approach to the elucidation of cell-cell communication and the discovery of putative biomarker candidates for cancer diagnosis and treatment. Nonetheless, the proteome of exosomes derived from cell lines with different metastatic capabilities still warrants further investigation. Here, we present a comprehensive quantitative proteomics investigation of exosomes isolated from immortalized mammary epithelial cells and matched tumor lines with different metastatic potentials in an attempt to discover exosome markers specific to breast cancer (BC) metastasis. A total of 2135 unique proteins were quantified with a high confidence level from 20 isolated exosome samples, including 94 of the TOP 100 exosome markers archived by ExoCarta. Moreover, 348 altered proteins were observed, among which several metastasis-specific markers, including cathepsin W (CATW), magnesium transporter MRS2 (MRS2), syntenin-2 (SDCB2), reticulon-4 (RTN), and UV excision repair protein RAD23 homolog (RAD23B), were also identified. Notably, the abundance of these metastasis-specific markers corresponds well with the overall survival of BC patients in clinical settings. Together, these data provide a valuable dataset for BC exosome proteomics investigation and prominently facilitate the elucidation of the molecular mechanisms underlying primary tumor development and progression.

Keywords: IonStar; breast cancer; exosomes; label-free quantification; metastasis; quantitative proteomics.

Publication types

  • Comparative Study

MeSH terms

  • Biomarkers, Tumor* / metabolism
  • Breast Neoplasms* / metabolism
  • Breast Neoplasms* / pathology
  • Cell Line, Tumor
  • Exosomes* / metabolism
  • Female
  • Humans
  • Neoplasm Metastasis
  • Proteomics

Substances

  • Biomarkers, Tumor