Frontiers in Molecular Biosciences (Apr 2023)

Identification of small extracellular vesicle protein biomarkers for pediatric Ewing Sarcoma

  • Soumya M. Turaga,
  • Mihaela E. Sardiu,
  • Mihaela E. Sardiu,
  • Mihaela E. Sardiu,
  • Vikalp Vishwakarma,
  • Amrita Mitra,
  • Leonidas E. Bantis,
  • Rashna Madan,
  • Michael L. Merchant,
  • Jon B. Klein,
  • Glenson Samuel,
  • Glenson Samuel,
  • Andrew K. Godwin,
  • Andrew K. Godwin,
  • Andrew K. Godwin

DOI
https://doi.org/10.3389/fmolb.2023.1138594
Journal volume & issue
Vol. 10

Abstract

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Ewing Sarcoma (EWS) is the second most common osseous malignancy in children and young adults after osteosarcoma, while it is the fifth common osseous malignancy within adult age population. The clinical presentation of EWS is quite often non-specific, with the most common symptoms at presentation consisting of pain, swelling or general discomfort. The dearth of clinically relevant diagnostic or predictive biomarkers continues to remain a pressing clinical challenge. Identification of tumor specific biomarkers can lend towards an early diagnosis, expedited initiation of therapy, monitoring of therapeutic response, and early detection of recurrence of disease. We carried-out a complex analysis of cell lines and cell line derived small extracellular vesicles (sEVs) using label-free-based Quantitative Proteomic Profiling with an intent to determine shared and distinct features of these tumor cells and their respective sEVs. We analyzed EWS cells with different EWS-ETS fusions (EWS-FLI1 type I, II, and III and EWS-ERG) and their corresponding sEVs. Non-EWS controls included osteosarcoma, rhabdomyosarcoma, and benign cells, i.e., osteoid osteoma and mesenchymal stem cells. Proteomic profiling identified new shared markers between cells and their corresponding cell-derived sEVs and markers which were exclusively enriched in EWS-derived sEVs. These exo-biomarkers identified were validated by in silico approaches of publicly available protein databases and by capillary electrophoresis based western analysis (Wes). Here, we identified a protein biomarker named UGT3A2 and found its expression highly specific to EWS cells and their sEVs compared to control samples. Clinical validation of UGT3A2 expression in patient tumor tissues and plasma derived sEV samples demonstrated its specificity to EWS, indicating its potential as a EWS biomarker.

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