Single-Cell RNA-Seq of Colorectal Cancer Patients Before and After Immunotherapy

A 1.8 MB PDF contains a reanalysis of spatiotemporal single-cell RNA-sequencing data from colorectal cancer patients treated with Pembrolizumab or Sintilimab. The data profiles immune and stromal compartments across pre- and post-treatment tumor, blood, and normal mucosa. Authored by Heng Zhao and last updated on 2026-05-04, the dataset is licensed under CC-BY-4.0.

Use Cases

• Identify transcriptional signatures associated with treatment response based on differential gene expression in T cells and B cells.
• Analyze treatment-associated remodeling of tumor-infiltrating lymphocytes described in the results.
• Infer cell-cell communication networks using methods like CellChat, as mentioned in the analysis.
• Investigate the role of specific genes like HSPA1B and TXNIP in immunotherapy resistance and response.

Strengths

• Data is derived from spatiotemporal sampling across tumor, blood, and normal mucosa, providing a multi-tissue perspective.
• Analysis includes characterization of major cell types and transcriptional programs using established tools like Seurat and Harmony.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The primary data file is a 1.8 MB PDF, suggesting the underlying raw or processed data tables may not be directly accessible.
• Row and column counts are unknown, which limits suitability assessment for computational workflows.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Reanalysis of existing single-cell RNA-sequencing data from CRC patients treated with immune checkpoint inhibitors.

Freshness

Last updated 2026-05-04 05:34:13; freshness should be verified.