Plasma Exosomal Proteomics Data 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. This dataset contains proteomic analysis results from plasma-derived exosomes of 12 patients across four groups, published by Yawei Zhang in May 2026. It highlights SVEP1 and IGKV3-7 as promising non-invasive biomarkers for cancer progression.

Use Cases

• Train classifiers to distinguish papillary thyroid carcinoma from Hashimoto’s thyroiditis based on exosomal protein profiles.
• Validate potential biomarkers like SVEP1 and IGKV3-7 using the provided parallel reaction monitoring validation data.
• Investigate immune response and extracellular matrix pathways implicated in thyroid cancer progression.
• Benchmark proteomic discovery pipelines for small, focused clinical cohorts.

Strengths

• Includes validation data via parallel reaction monitoring (PRM) for two candidate biomarkers.
• Focuses on a clinically relevant cohort comparison of papillary thyroid carcinoma with and without Hashimoto’s thyroiditis.
• Released under a CC-BY-4.0 license, permitting broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 168.6 KB, indicating limited scope.

Provenance

Source

Yawei Zhang via figshare.

Collection Method

Exosome isolation and label-free quantitative proteomics applied to plasma samples from 12 patients.

Freshness

Last updated 2026-05-25 04:44:59; freshness should be verified.