Single-Cell Spatial Atlas of High-Grade Serous Ovarian Cancer with Clinical Correlations

172.8 KB of supplementary tables from a study of high-grade serous ovarian cancer, published on figshare by Fernando Perez-Villatoro and last updated on June 1, 2026. The tables likely contain clinical information, antibody panel details, and statistical analyses correlating immune cell populations with patient survival outcomes.

Use Cases

• Correlating immune cell infiltration patterns with patient survival based on statistical tests mentioned in the description.
• Analyzing the predictive power of MHC class II expression for tumor ecosystems as indicated by the title.
• Reviewing the antibody panel used for tissue cyclic immunofluorescence (t-CycIF) experiments detailed in Table S2.

Strengths

• Includes data from a multidimensional cohort of 265 tumors.
• Provides statistical analyses like Pearson correlation and false discovery rates for immune and tumor cell populations.
• Links molecular profiles to clinical outcomes like overall survival.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely generated from single-cell spatial analysis and clinical data collection for a research study.

Freshness

Last updated 2026-06-01 07:24:20; freshness should be verified.