Plasma Exosomal Proteomics for Thyroid Disorders and Papillary Carcinoma

45 differentially expressed proteins were identified between papillary thyroid carcinoma with Hashimoto's thyroiditis and Hashimoto's thyroiditis alone. The dataset contains proteomic analysis results from plasma exosomes of 12 individuals across four groups, published by Yawei Zhang in 2026. It highlights SVEP1 and IGKV3-7 as promising biomarkers for non-invasive diagnosis.

Use Cases

• Identify candidate protein biomarkers for papillary thyroid carcinoma based on differential expression analysis.
• Investigate immune response and extracellular matrix pathways implicated in thyroid cancer progression.
• Validate proteomic discoveries using parallel reaction monitoring (PRM) data.
• Explore the molecular link between Hashimoto's thyroiditis and thyroid cancer development.

Strengths

• Dataset is focused on a specific clinical question with a clear case-control design involving four distinct patient groups.
• Results include validation via parallel reaction monitoring (PRM), confirming two specific biomarkers (SVEP1 and IGKV3-7).
• The data is openly licensed under CC-BY-4.0 for reuse.

Limitations

• The dataset is very small (165.7 KB), suggesting limited scope and a small sample size of 12 individuals.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale machine learning.

Provenance

Source

figshare

Collection Method

Exosome isolation and label-free quantitative proteomics applied to plasma samples from patients and healthy controls.

Freshness

Last updated 2026-05-25 04:45:00; freshness should be verified.