Cytokine and Immune Cell Correlations in Chronic Lymphocytic Leukemia Patients

A clinical study dataset measuring serum levels of 47 cytokines and counts of four immunosuppressive cell types in patients with chronic lymphocytic leukemia (CLL) and healthy donors. The data was collected by Aleksandr V. Ponomarev using multiplex analysis and flow cytometry, and was last updated in April 2026. It shows significant differences in 29 cytokines and three cell subpopulations between patient and control groups.

Use Cases

• Identify cytokine biomarkers for disease progression based on measured levels of 47 cytokines.
• Model correlations between specific cytokines (e.g., MIP-1α, M-CSF) and suppressor cell populations (mMDSCs, Tregs).
• Compare immunological profiles between different disease stages (Binet stage B vs. C) using cytokine and cell count data.
• Validate hypotheses on immune system inhibition via the simultaneous action of growth factors and pro-inflammatory cytokines.

Strengths

• Measures 47 distinct cytokines, providing a broad immunological profile.
• Includes data from both CLL patients and healthy donor control groups for comparison.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for machine learning.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data file is a 3.1 MB DOCX, which may require extraction or conversion for analysis.

Provenance

Source

figshare, authored by Aleksandr V. Ponomarev.

Collection Method

Data gathered via multiplex analysis of serum cytokines and flow cytometry of peripheral blood cells.

Time Range

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Freshness

Last updated 2026-04-15 04:36:38.

Geography

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