CXCL13 Biomarker Levels for Differentiating Sézary Syndrome from Skin Diseases

Data Sheet 1 by Giulia Salvatore, published on figshare in April 2026, contains research data on the biomarker CXCL13. The dataset includes results from real-time PCR analysis of 51 samples and ELISA protein-level analysis of a larger cohort of 142 samples. It investigates the expression of CXCL13 to differentiate Sézary syndrome from mycosis fungoides and other inflammatory skin diseases.

Use Cases

• Developing a diagnostic screening model based on plasma CXCL13 concentration levels.
• Training a classifier to differentiate Sézary syndrome from mycosis fungoides based on biomarker data.
• Analyzing the correlation between PBMC mRNA expression and plasma protein levels for CXCL13.
• Validating the performance of a biomarker using ROC analysis metrics mentioned in the description.

Strengths

• Includes data from a cohort of 142 samples for protein-level analysis.
• Reports a high differential performance with an AUC of 93% for plasma CXCL13.
• Data is openly available under a CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (803.4 KB), which may require extraction of structured data.

Provenance

Source

Giulia Salvatore via figshare.

Collection Method

Data generated from real-time PCR and ELISA analysis of patient samples.

Time Range

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Freshness

Last updated 2026-04-10 05:58:13; freshness should be verified.

Geography

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