Spatial Immune Profiling of Biliary Tract Cancers from 11 Patients

A research dataset from figshare, authored by Federico Rossari and last updated on 2026-05-28. It contains spatial immune profiling data from 11 patients with advanced biliary tract cancers (BTCs). The data includes approximately 400,000 segmented and phenotyped cells from 198 regions of interest at the invasive tumor margin, analyzed for CD4, CD8, CD20, and CD163 markers.

Use Cases

• Identify distinct immune phenotypes based on spatial clustering of T cells, B cells, and macrophages.
• Analyze the spatial architecture of immune cells, such as the role of CD4+ T cells and CD20+ B cells as organizing hubs.
• Investigate potential associations between immune phenotypes and genetic alterations like TP53 and ARID1A.
• Explore correlations between baseline immune cell fractions (e.g., CD20/CD8 ratio, CD163 abundance) and patient survival outcomes.

Strengths

• Data is derived from 11 patient samples with 198 analyzed regions of interest.
• Includes approximately 400,000 individually segmented and phenotyped cells.
• Analysis includes spatial metrics like hierarchical clustering, distance-based approaches, and cellular neighborhood classification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 89.9 KB, indicating limited scope.

Provenance

Source

figshare, author Federico Rossari

Collection Method

Multiplex immunofluorescence applied to pre-treatment tumor samples, with cell segmentation and phenotyping.

Freshness

Last updated 2026-05-28 05:01:11; freshness should be verified.