Dataset for "PD-L1 mRNA Expression Correlates with Tumor Growth Rate in Giant Cell Tumor of Bone: A Volumetric MRI Analysis"
Description
This dataset contains de-identified clinical, imaging, and molecular data from 14 patients with extremity giant cell tumor of bone (GCTB) treated at a single tertiary center between January 2020 and December 2024. The dataset was generated to investigate the relationship between PD-L1 mRNA expression and MRI-based volumetric tumor growth rate. The Excel file includes two sheets: Clinical_Volumetric_Data – patient-level demographics, tumor site, preoperative denosumab use, volumetric MRI data (volumes, voxel parameters), and qPCR-derived ΔCt, ΔΔCt, and fold-change values. PCR_Triplicate_Data – raw qPCR cycle threshold (Ct) values for PD-L1 and β-actin measured in triplicate for each sample. ΔCt and ΔΔCt values were computed according to the 2^−ΔΔCt method, using β-actin as the endogenous reference and normal skeletal muscle as the control. Tumor growth rate was defined as the change in MRI-measured tumor volume between two preoperative scans divided by the interval in months. All patient identifiers have been removed, and no protected health information is included. This dataset supports the findings reported in the corresponding manuscript, providing transparency and enabling further exploration of molecular–imaging correlations in GCTB.