Lung Cancer Lymph Node Aspirate Immune Checkpoint Expression Profiles from 71 Patients

71 lung cancer patient lymph node aspirates analyzed by flow cytometry reveal expression patterns of non-classical immune checkpoints CD137/CD137L and CD200/CD200R. The data, authored by Iwona Kwiecień and shared under CC-BY-4.0, shows these markers correlate with classical PD-1 pathway components. Flow cytometric profiles were generated from samples obtained via transbronchial needle aspiration biopsy.

Use Cases

• Modeling co-expression networks of classical and non-classical immune checkpoints based on CD137, CD200, PD-1, and PD-L1/2 markers.
• Investigating differences in checkpoint expression between tumor cells and lymphocyte subsets, such as CD8+ T cells.
• Analyzing associations between checkpoint expression and clinical variables like histology (NSCLC) or tumor-rich lymph node status.

Strengths

• Includes flow cytometry data from 71 patient samples, providing a clinical cohort scale.
• Measures expression of 7 specific immune checkpoint markers (CD137, CD137L, CD200, CD200R, PD-1, PD-L1, PD-L2) on distinct cell types.
• Correlation analysis between non-classical and classical checkpoint pathways is described in the results.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 16.8 KB, suggesting limited scope or summary-level data.
• Data is provided in a DOCX file format, which may require extraction for computational analysis.

Provenance

Source

figshare, author Iwona Kwiecień

Collection Method

Lymph node aspirates obtained via transbronchial needle aspiration biopsy (EBUS/TBNA) and analyzed using cytology, hematological screening, and flow cytometry.

Freshness

Last updated 2026-05-26 06:03:48; freshness should be verified.