High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
By Hui Gao, Joshua M. Korn, S. Ferretti, J. Monahan, Youzhen Wang, Mallika Singh, Chao Zhang, C. Schnell, Guizhi Yang, Yun Zhang and 54 more. Nature Medicine, 2015
1,236 citations recorded by the source corpus.
Subfields: Biophysics, Cancer Research, Oncology
View Paper: https://www.semanticscholar.org/paper/2e3ef3d9349dc1a7c2f01d06ebef32344078d3f4
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Citations in the corpus
- Early Adaptation and Acquired Resistance to CDK4/6 Inhibition in Estrogen Receptor–Positive Breast Cancer (2016, neutral): “Of note, this experiment was conducted using a recently described "one animal per model and treatment" (1 1 1) experimental design, with enrichment of the triplet combination arm (22).”
- MOLI: multi-omics late integration with deep neural networks for drug response prediction (2019, methodology): “Various in vitro studies of cancer cell lines and patient-derived xenograft mice models (PDX) (Gao et al. , 2015) have created datasets such as Genomics of Drug Sensitivity in Cancer (GDSC) (Iorio et al. , 2016) and Cancer Cell Line Encyclopedia (CCLE) (Barretina et al. , 2012).”
- A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. (2018, neutral): “Recently, several groups tackled this problemby directly treating mice in vivo (Gao et al., 2015) or PDX-derived cultures in vitro (Bruna et al., 2016).”
- Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles (2020, background): “Abbreviations CCLE Cancer Cell Line Encyclopedia CTRP Cancer Therapeutics Response Portal GDSC Genomics of Drug Sensitivity in Cancer GO BP Gene Ontology – Biological Process OMC Optimal Model Complexity PDX Patient-Derived Xenografts RF Random Forest XGB Extreme Gradient Boosting”
- Machine learning approaches to drug response prediction: challenges and recent progress (2020, background): “Novartis published the largest PDX-based pharmacogenomic dataset to date, referred to as the PDX Encyclopedia 20 .”
- Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells (2020, methodology): “The genotypes of each PDX had also been established (Gao et al., 2015), which were provided to DrugCell to make response predictions to each monotherapy.”