Differentially Expressed Genes in Lung Cancer Tumor Microenvironment

A supplementary table from a 2026 study by Natalie K. Horvat on lung cancer. The dataset lists differentially expressed genes in malignant cell clusters from PD1R1 versus 344SQ tumor models. It is a 59.5 KB Excel file shared under a CC-BY-4.0 license.

Use Cases

• Identify potential biomarkers for immunosuppression based on gene expression differences.
• Validate computational models of tumor microenvironment interactions using the listed genes.
• Cross-reference gene lists from this study with other lung cancer transcriptomic datasets.

Strengths

• Data is directly linked to a specific, peer-reviewed research study on lung cancer.
• File is provided in a standard, machine-readable XLSX format.
• Dataset is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 59.5 KB file size suggests a limited scope, likely containing a focused list of genes rather than a large-scale transcriptomic profile.

Provenance

Source

figshare, authored by Natalie K. Horvat.

Collection Method

Likely generated from RNA sequencing analysis of tumor samples as part of the cited study.

Freshness

Last updated 2026-06-02 07:20:30; freshness should be verified.