Plasma Extracellular Vesicle Proteomics for Obese Breast Cancer Patients

76 obese, chemotherapy-naïve breast cancer patients and 36 age-matched obese controls contributed plasma samples for small extracellular vesicle (EV) analysis. The dataset contains raw proteomics results from nanoLC-MS/MS analysis, identifying candidate markers like Fibronectin 1 and von Willebrand Factor. It was authored by Amr Ahmed WalyEldeen and last updated on 2026-05-05.

Use Cases

• Identify diagnostic protein biomarkers for breast cancer based on proteomic signatures of plasma small extracellular vesicles.
• Investigate associations between specific EV proteins (e.g., FN1, SDC2) and aggressive triple-negative breast cancer (TNBC) subtypes.
• Analyze potential drug-gene interactions for therapy response prediction using targets like FN1 and VWF.
• Study the functional role of tumor-derived EVs in epithelial-mesenchymal transition and inflammatory responses in cell models.

Strengths

• Includes data from 112 total participants (76 patients, 36 controls), providing a case-control study structure.
• Proteomic profiling was performed using high-resolution nanoLC-MS/MS, suggesting detailed molecular data.
• Findings were validated using independent methods like western blot, indicating rigorous experimental design.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale machine learning.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 7.5 MB in size, indicating a relatively small scale for proteomic data.

Provenance

Source

figshare

Collection Method

Plasma small extracellular vesicles were enriched and characterized by transmission electron microscopy, dynamic light scattering, and specific EV markers, followed by proteomic analysis via nanoLC-MS/MS.

Freshness

Last updated 2026-05-05 17:27:30; freshness should be verified.