UHN Tsao Lab Lung Cancer PDX Drug-Response Dataset (XevaSet)

This dataset provides curated drug-response data from patient-derived xenograft (PDX) models of lung cancer, generated by the Tsao Lab (University Health Network, Toronto) and part of the data was originally reported in Weiss et al. (2022), "Optimizing Drug Response Study Design in Patient-Derived Tumor Xenografts" (https://doi.org/10.1177/11769351221136056). The data have been processed into a standardized XevaSet object (R/Bioconductor Xeva package) using a reproducible Snakemake curation pipeline (source code: https://github.com/BHKLAB-DataProcessing/Xevacurate_Snakemake_UHN_Lung). The pipeline scans and validates raw drug-screen records, harmonizes model/drug identifiers, computes tumor-growth response statistics (TGI, mRECIST, linear mixed-effects models), and links each PDX drug experiment to matched molecular profiles (RNA-seq, somatic mutation, copy-number). Contents UHN_Tsao_Lung_DrugResponse_2022_v1.rds — the complete XevaSet object, directly loadable in R with readRDS() and the Xeva package for downstream analysis (modelInfo(), getExperiment(), summarizeResponse(), plotPDX(), etc.). UHN_Lung_Xeva_csv.zip — csv files used to generate the XevaSet file UHN_Tsao_Lung_DrugResponse_2022_v1.rds. UHN_lung_xeva_qc.html — QC report for the UHN Tsao Lab lung cancer PDX XevaSet.