Triple-Negative Breast Cancer Therapy Resistance Data from PDX Models

Additional file 1 contains nine supplementary tables from a study on therapy resistance in triple-negative breast cancer. The tables include patient information, PDX model response data, quality control metrics for snRNA-seq, clinical trial cohorts, genetic variants, and marker gene and pathway analyses. The dataset, authored by Yu Zhang and shared under CC-BY-4.0, was last updated on May 14, 2026.

Use Cases

• Correlate patient clinical information with PDX model treatment response based on Table S1.
• Assess data quality for single-nucleus RNA sequencing experiments based on metrics in Table S2.
• Identify significant genetic variants in cancer genes from PDX models based on Table S4.
• Analyze marker genes and enriched pathways associated with specific cell clusters based on Tables S5 and S6.
• Investigate pre-existing gene expression markers linked to treatment resistance based on Table S9.

Strengths

• Contains nine structured tables covering clinical, genomic, and transcriptomic data facets.
• Data is shared under a permissive CC-BY-4.0 license.
• Last update timestamp of 2026-05-14 suggests recent curation.

Limitations

• Row counts for all tables are unknown, limiting assessment of dataset scale.
• Column-level documentation is absent; field semantics must be inferred from the table titles.
• The dataset is small at 447.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely generated as supplementary material for a research publication.

Freshness

Last updated 2026-05-14 04:38:41.