Data Sheet 2_Integrative multi-omics and machine learning reveals the spatial niche distri

A research article by Qingsheng Liu, published on figshare in March 2026, analyzing the tumor immune microenvironment in non-small cell lung cancer. The study integrates single-cell and spatial transcriptomic data to construct nine spatial niches and identifies CYP27A1+ tumor-associated macrophages as a key component linked to immune checkpoint blockade response.

Use Cases

• Training prognostic models for immunotherapy response based on spatial niche composition.
• Analyzing the role of CYP27A1+ tumor-associated macrophages in CD8+ T cell recruitment.
• Studying the activation of the LXR pathway in macrophages following immune checkpoint blockade treatment.
• Validating spatial transcriptomic findings against external patient cohorts and in vivo experiments.

Strengths

• Integrates single-cell and spatial transcriptomic data from the same patients.
• Identifies and validates a specific macrophage subtype (CYP27A1+) as a key prognostic factor.
• Constructs nine distinct spatial niches for detailed microenvironment analysis.
• Published under a permissive CC-BY-4.0 license.

Limitations

• The primary data file is a 10.3 MB PDF; underlying raw datasets are not directly provided.
• Row count and column-level documentation for any underlying data are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Integrated analysis of single-cell and spatial transcriptomic data using ISCHIA, validated with external cohorts and in vivo experiments.

Time Range

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Freshness

Last updated 2026-03-18 07:41:31; freshness should be verified.

Geography

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