Lung Cancer Lymph Node Aspirate Immune Checkpoint Expression from 71 Patients

Flow cytometry data from lymph node aspirates of 71 lung cancer patients, measuring expression of classical and non-classical immune checkpoint proteins. The dataset was created by Iwona Kwiecień and last updated on 2026-05-26. It includes measurements of CD137, CD137L, CD200, CD200R, PD-1, PD-L1, and PD-L2 on tumor cells and lymphocytes.

Use Cases

• Correlation analysis between non-classical (CD137/CD137L, CD200/CD200R) and classical (PD-1/PD-L1/PD-L2) checkpoint pathways mentioned in the description.
• Comparative analysis of immune checkpoint expression profiles between different lung cancer histologies, such as NSCLC.
• Modeling the relationship between tumor cell and lymphocyte marker expression within the lymph node tumor microenvironment.
• Identifying potential co-targets for immunotherapy based on the integrated immunoregulatory network described.

Strengths

• Data is derived from a specific cohort of 71 lung cancer patients.
• Includes multi-parameter flow cytometry measurements for seven distinct immune checkpoint proteins.
• Analysis distinguishes between expression on tumor cells and on specific lymphocyte subsets (e.g., CD8+ T cells).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 15.0 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-26 06:03:47; freshness should be verified.