Supplementary File 1: Thymidine Kinase and KELIM Biomarker Data for Ovarian Cancer

A retrospective study dataset of 28 patients with epithelial ovarian cancer treated with platinum-based chemotherapy. The data includes measurements of thymidine kinase protein (TK1p) and enzymatic activity (TK1a), alongside calculated KELIM scores, platinum-free intervals (PFI), and chemotherapy response scores (CRS). The dataset was authored by David Lukanović and last updated in May 2026.

Use Cases

• Validate the KELIM model's predictive performance for platinum sensitivity based on CA-125 kinetics.
• Assess the relationship between thymidine kinase dynamics and chemotherapy response scores (CRS).
• Investigate biomarker correlations with clinical outcomes like platinum-free interval (PFI).
• Perform ROC analysis to evaluate the discriminative potential of preoperative TK1p levels.

Strengths

• Includes multiple biomarker measurements (TK1p, TK1a) and clinical scores (KELIM, CRS, PFI) for each patient.
• Data is derived from a clinical study with reported statistical results (e.g., rho=0.731 for KELIM vs. CRS).
• 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 96.0 KB, indicating a limited cohort of 28 patients.

Provenance

Source

figshare

Collection Method

Retrospective clinical study measuring biomarker dynamics at multiple timepoints.

Time Range

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Freshness

Last updated 2026-05-04 05:33:07; freshness should be verified.

Geography

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