Bladder Cancer Biomarker and Survival Data for Replication

Jiawen Chen published a processed dataset on figshare in April 2026 to replicate the main findings of a study on urothelial bladder cancer. The 226.8 KB XLSX file contains data related to plasma cell infiltration and biomarker expression. It was created to support the replication of analyses concerning survival outcomes and the immunogenic tumor microenvironment.

Use Cases

• Analyze the correlation between plasma cell infiltration markers and favorable survival outcomes.
• Investigate the complementary predictive value of TNFRSF17 and CD274 (PD-L1) expression as biomarkers.
• Validate findings on the association of specific immune cell signatures with response to immune checkpoint blockade.
• Replicate survival analysis models using the provided processed clinical and molecular data.

Strengths

• Data is specifically processed and organized for replicating a published study's main findings.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.
• Dataset is small (226.8 KB), making it quick to download and inspect.

Limitations

• The dataset is very small (226.8 KB), indicating a limited scope, likely a subset or summary statistics rather than raw data.
• Specific row count, column names, and sample data are unknown, limiting detailed assessment of its structure.
• As a processed replication dataset, it may lack the granularity of raw experimental or clinical records.

Provenance

Source

figshare, authored by Jiawen Chen.

Collection Method

Processed data derived from publicly available cohorts, as indicated by platform tags.

Freshness

Last updated on April 3, 2026.