Spatial Transcriptomics of Pancreatic Ductal Adenocarcinoma Heterogeneity

18,075 spatial spots from one normal pancreatic tissue, PC tissue, adjacent tumor tissue, and tumor stroma were analyzed using spatial transcriptomics. The data, authored by Zhangyong Ren and last updated in April 2026, reveals gene expression features and clusters related to malignant cell subpopulations and inflammatory fibroblasts. The study highlights the spatial heterogeneity of dynamic changes and impaired exocrine function in pancreatic cancer.

Use Cases

• Cluster analysis of tumor microenvironment cell types based on the 22 identified gene expression clusters.
• Investigation of fibroblast roles in tumor inhibition based on pathways like 'B-cell activation' mentioned in the description.
• Spatial mapping of exocrine versus endocrine pancreatic damage during cancer progression based on markers AMYA2+PRSS1+ and INS+GCG+.
• Characterization of inflammatory cancer-associated fibroblasts (FGG+CRP+) and their spatial relationship to islets in tumor stroma.

Strengths

• Includes 18,075 spatial spots analyzed with spatial transcriptomics.
• Data is structured into 22 distinct clusters based on gene expression profiles.
• Released 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 dataset is very small at 22.2 KB, suggesting it likely contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Spatial transcriptomics performed on pancreatic tissue samples.

Time Range

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Freshness

Last updated 2026-04-24 12:31:54; freshness should be verified.

Geography

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