NSCLC Tumor Microenvironment: CXCL9/SPP1 Polarity Axis and Six-Gene Prognostic Signature

A dataset supporting research on tumor-associated macrophage polarity in non-small cell lung cancer. It is based on the integration of single-cell and bulk transcriptomic data, identifying four TAM subpopulations and a six-gene prognostic signature. The dataset was created by Houqiang Li and last updated on 2026-04-17.

Use Cases

• Stratifying NSCLC patients into high-risk and low-risk groups based on the described six-gene signature.
• Analyzing the correlation between TAM polarity and the immunosuppressive tumor microenvironment.
• Validating the dynamic plasticity of TAM polarity through pseudotime trajectory analysis.
• Investigating the prognostic significance of the CXCL9/SPP1 expression ratio in NSCLC.

Strengths

• Dataset is based on the integration of single-cell and bulk transcriptomic data.
• A prognostic model was constructed and validated using 101 machine learning algorithms.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and adaptation.

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 10.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Integration of single-cell and bulk transcriptomic data, with machine learning optimization.

Freshness

Last updated 2026-04-17 05:20:08; freshness should be verified.