Raw Proteomics Results for Stage IIB Breast Cancer from Plasma Extracellular Vesicles

Plasma small-extracellular vesicles from 76 obese, chemotherapy-naïve breast cancer patients and 36 obese controls were analyzed via nanoLC-MS/MS proteomics. The dataset, shared by Amr Ahmed WalyEldeen on figshare under CC-BY-4.0, identifies Fibronectin 1 and von Willebrand Factor as candidate markers associated with diagnosis and therapy response. Last updated in May 2026, the 6.8 MB Excel file contains raw proteomic results.

Use Cases

• Validate proteomic signatures for breast cancer diagnosis based on Fibronectin 1 and von Willebrand Factor levels.
• Investigate biomarker associations with aggressive triple-negative breast cancer subtypes based on FN1 and SDC2 enrichment.
• Analyze protein interaction networks involving Syndecan-2 and Galectin-3 using bioinformatics tools.
• Assess therapy response associations through drug-gene interaction analysis as indicated in the description.

Strengths

• Includes proteomic data from a defined cohort of 112 individuals (76 patients, 36 controls).
• Candidate markers were validated via western blot and linked to clinical parameters like cancer stage and subtype.
• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The 6.8 MB file size suggests a relatively small dataset, potentially limiting statistical power.

Provenance

Source

figshare, author Amr Ahmed WalyEldeen.

Collection Method

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

Freshness

Last updated 2026-05-05 17:27:33; freshness should be verified.