Profiling of Extracellular Vesicles of Non-Small Cell Lung Cancer Reveals Proteins Associated With Osimertinib

Albano Cáceres-Verschae1, Petra Hååg1, Sofia Joelsson1

  • 1Dept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.

PubMed

Insights

Extracellular vesicle protein profiling can identify biomarkers for osimertinib resistance in non-small cell lung cancer (NSCLC). This approach may help predict treatment response and guide precision medicine strategies.

Area of Science:

  • Oncology
  • Biochemistry
  • Molecular Biology

Background:

  • Precision cancer medicine utilizes tyrosine kinase inhibitors (TKIs) for solid tumors.
  • Osimertinib is a key epidermal growth factor receptor (EGFR)-TKI for EGFR-mutated non-small cell lung cancer (NSCLC).
  • Treatment responses to osimertinib are variable, necessitating methods to monitor efficacy.

Purpose of the Study:

  • To identify non-invasive biomarkers in extracellular vesicles (EVs) for predicting or monitoring osimertinib response in NSCLC.
  • To analyze the proteome of EVs from osimertinib-resistant and -responsive NSCLC cells and patient serum.

Main Methods:

  • Proteomic analysis of EVs using mass spectrometry (MS) and proximity extension assay (PEA).
  • Validation of protein expression via Western blotting, ELISA, and single vesicle analysis.
  • Analysis of EVs isolated from NSCLC cell lines and serum from patients in the TREM clinical trial.

Main Results:

  • MS identified a protein signature (CSPG4, HSPG2, MCAM, L1CAM, TAGLN, THBS1, TNC) associated with osimertinib refractoriness in NSCLC cells and EVs.
  • Pathway analysis linked these proteins to focal adhesion and proteoglycan pathways.
  • PEA revealed signatures associated with immune cells and treatment outcomes (PD-L1, CD73/NT5E, FR-alpha/FOLR1, LAMP3, FASLG1, ANXA1).

Conclusions:

  • Protein profiling of EVs can identify potential biomarkers (e.g., CSPG4, CD73/NT5E) for osimertinib resistance in NSCLC.
  • These biomarkers may aid in predicting treatment response and guiding therapeutic decisions.
  • Further validation in larger patient cohorts is required to confirm these findings.

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