Plasma Exosomal Proteomics Data for Thyroid Disorders and Papillary Thyroid Carcinoma

45 differentially expressed proteins were identified between papillary thyroid carcinoma patients with Hashimoto’s thyroiditis and those with Hashimoto’s thyroiditis alone. The dataset contains plasma exosomal proteomics data from 12 individuals across four groups, generated by Yawei Zhang and published on figshare in 2026. It highlights SVEP1 and IGKV3-7 as promising biomarkers for non-invasive diagnosis.

Use Cases

• Biomarker discovery for papillary thyroid carcinoma based on differentially expressed exosomal proteins.
• Pathway analysis of thyroid disease progression based on extracellular matrix and immune response annotations.
• Validation of proteomic findings using parallel reaction monitoring (PRM) data.
• Comparative analysis of proteomic profiles across healthy controls, Hashimoto’s thyroiditis, and cancer patients.

Strengths

• Includes data from 12 patient samples across four distinct clinical groups.
• 45 differentially expressed proteins were identified and validated via parallel reaction monitoring.
• Released under a CC-BY-4.0 license for open reuse.

Limitations

• The dataset is very small at 166.8 KB, suggesting limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Exosome isolation and label-free quantitative proteomics on patient plasma samples.

Freshness

Last updated 2026-05-25 04:44:41; freshness should be verified.