B-Cell Subsets and Genetic Links in Papillary Thyroid Carcinoma

15.4 MB of data from an exploratory study integrating Mendelian randomization, flow cytometry, and single-cell RNA sequencing to investigate B-cell subsets in papillary thyroid carcinoma. The dataset, authored by Pei Wang and last updated in March 2026, provides genetic and clinical evidence linking specific B-cell phenotypes to indolent tumor behavior and patient prognosis. It includes findings validated against the TCGA-THCA cohort.

Use Cases

• Train models to predict indolent vs. progressive PTC based on peripheral B-cell subset proportions.
• Analyze causal relationships between immunophenotypes and cancer risk using Mendelian randomization results.
• Validate prognostic biomarkers for disease-free and overall survival using enrichment scores from the TCGA cohort.

Strengths

• Integrates multiple data modalities: Mendelian randomization, flow cytometry, and single-cell RNA-seq.
• Clinical validation includes survival analysis (DFS, OS) from the TCGA-THCA cohort.
• Specific statistical results are reported, such as a 70.8% vs. 60.9% proportion of naïve B-cells.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset's 15.4 MB size suggests it is relatively small, potentially limiting the scope of analysis.

Provenance

Source

figshare, authored by Pei Wang.

Collection Method

Data generated through Mendelian randomization, flow cytometric comparison, single-cell RNA sequencing, and analysis of the TCGA-THCA cohort.

Freshness

Last updated 2026-03-18 05:34:35.