Proteomics of Plasma Extracellular Vesicles from Obese Breast Cancer Patients

Raw proteomics results from plasma small extracellular vesicles (EVs) of 76 obese, chemotherapy-naïve breast cancer patients and 36 age-matched obese controls. The dataset, created by Amr Ahmed WalyEldeen and last updated in May 2026, identifies candidate protein markers like Fibronectin 1 and von Willebrand Factor. It is a small dataset of 311.4 KB stored in an XLSX file.

Use Cases

• Identify diagnostic protein biomarkers for breast cancer based on proteomic profiles of plasma small-EVs.
• Investigate associations between EV protein signatures and aggressive cancer subtypes like triple-negative breast cancer.
• Explore potential therapeutic targets by analyzing drug-gene interactions involving proteins like FN1 and VWF.
• Study the role of obesity in breast cancer progression through proteomic signatures in extracellular vesicles.

Strengths

• Includes data from 112 total subjects (76 patients, 36 controls) for comparative analysis.
• Proteomic profiling was performed using nanoLC-MS/MS, a high-resolution technique.
• Independent validation of candidate markers (FN1, VWF, SDC2) was performed via western blot, as noted in the description.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small in scale at 311.4 KB, suggesting limited proteomic coverage.
• Data is specific to obese breast cancer patients, which may limit generalizability to other populations.

Provenance

Source

figshare

Collection Method

Plasma small-EVs were enriched and characterized, followed by proteomic profiling via nanoLC-MS/MS.

Freshness

Last updated 2026-05-05 17:27:31