Lung Cancer Lymph Node Aspirate Immune Checkpoint Expression from 71 Patients

71 lung cancer patient lymph node aspirates analyzed via flow cytometry reveal expression patterns of non-classical immune checkpoints CD137/CD137L and CD200/CD200R. The data, authored by Iwona Kwiecień and last updated in 2026, shows these markers correlate with classical PD-1 pathway components and vary with histology. This 16.6 KB dataset is a small-scale, focused collection of cytometric measurements from a clinical biopsy procedure.

Use Cases

• Modeling correlations between non-classical and classical immune checkpoint expression based on PD-L1, PD-L2, PD-1, CD137, and CD200R measurements.
• Investigating differences in checkpoint expression profiles between NSCLC and other lung cancer histologies mentioned in the results.
• Analyzing the relationship between tumor cell and lymphocyte marker expression (e.g., CD137L on tumor cells vs. CD137 on CD8+ T cells).
• Studying how the tumor immune microenvironment in metastatic lymph nodes shapes an integrated immunoregulatory network.

Strengths

• Data is derived from a specific cohort of 71 lung cancer patients.
• Includes measurements for seven specific immune markers (CD137, CD137L, CD200, CD200R, PD-1, PD-L1, PD-L2) on distinct cell types.
• Results include statistically significant correlations between checkpoint expressions, as noted in the description.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 16.6 KB, indicating limited scope.
• Data is contained in a DOCX file, which may require extraction and formatting for analysis.

Provenance

Source

figshare, author Iwona Kwiecień.

Collection Method

LN aspirates obtained via EBUS/TBNA biopsy were analyzed using cytology, hematological screening, and flow cytometry.

Freshness

Last updated 2026-05-26 06:03:46; freshness should be verified.