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Quantitative proteomics of extracellular vesicles derived from human primary and metastatic colorectal cancer cells

  • Dong Sic Choi
  • , Do Young Choi
  • , Bok Sil Hong
  • , Su Chul Jang
  • , Dae Kyum Kim
  • , Jaewook Lee
  • , Yoon Keun Kim
  • , Kwang Pyo Kim
  • , Yong Song Gho

Research output: Contribution to journal › Article › peer-review

129 Citations (Scopus)

Abstract

Cancer cells actively release extracellular vesicles (EVs), including exosomes and microvesicles, into surrounding tissues. These EVs play pleiotropic roles in cancer progression and metastasis, including invasion, angiogenesis, and immune modulation. However, the proteomic differences between primary and metastatic cancer cell-derived EVs remain unclear. Here, we conducted comparative proteomic analysis between EVs derived from human primary colorectal cancer cells (SW480) and their metastatic derivatives (SW620). Using label-free quantitation, we identified 803 and 787 proteins in SW480 EVs and SW620 EVs, respectively. Based on comparison between the estimated abundance of EV proteins, we identified 368 SW480 EV-enriched and 359 SW620 EV-enriched proteins. SW480 EV-enriched proteins played a role in cell adhesion, but SW620 EV-enriched proteins were associated with cancer progression and functioned as diagnostic indicators of metastatic cancer; they were overexpressed in metastatic colorectal cancer and played roles in multidrug resistance. As the first proteomic analysis comparing primary and metastatic cancer-derived EVs, this study increases our understanding of the pathological function of EVs in the metastatic process and provides useful biomarkers for cancer metastasis.

Original languageEnglish
Article number18704
JournalJournal of Extracellular Vesicles
Volume1
Issue number1
DOIs
Publication statusPublished - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Apex
  • Biomarker
  • Colorectal cancer
  • Ectosomes
  • Exosomes
  • Label-free quantitative proteomics
  • Metastasis
  • Microvesicles
  • Nanoparticle tracking analysis.
  • Secretome

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