Systematic Establishment of Robustness and Standards in Patient-Derived Xenograft Experiments and Analysis.
| Autor: | Evrard YA; Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, Maryland., Srivastava A; The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut., Randjelovic J, Doroshow JH; Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland., Dean DA 2nd; Seven Bridges Genomics, Cambridge, Massachusetts., Morris JS; The University of Texas M.D. Anderson Cancer Center, Houston, Texas., Chuang JH; The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut. jeff.chuang@jax.org.; University of Connecticut Health Center, Farmington, Connecticut. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Cancer research [Cancer Res] 2020 Jun 01; Vol. 80 (11), pp. 2286-2297. Date of Electronic Publication: 2020 Mar 09. |
| DOI: | 10.1158/0008-5472.CAN-19-3101 |
| Abstrakt: | Patient-derived xenografts (PDX) are tumor-in-mouse models for cancer. PDX collections, such as the NCI PDXNet, are powerful resources for preclinical therapeutic testing. However, variations in experimental and analysis procedures have limited interpretability. To determine the robustness of PDX studies, the PDXNet tested temozolomide drug response for three prevalidated PDX models (sensitive, resistant, and intermediate) across four blinded PDX Development and Trial Centers using independently selected standard operating procedures. Each PDTC was able to correctly identify the sensitive, resistant, and intermediate models, and statistical evaluations were concordant across all groups. We also developed and benchmarked optimized PDX informatics pipelines, and these yielded robust assessments across xenograft biological replicates. These studies show that PDX drug responses and sequence results are reproducible across diverse experimental protocols. In addition, we share the range of experimental procedures that maintained robustness, as well as standardized cloud-based workflows for PDX exome-sequencing and RNA-sequencing analyses and for evaluating growth. SIGNIFICANCE: The PDXNet Consortium shows that PDX drug responses and sequencing results are reproducible across diverse experimental protocols, establishing the potential for multisite preclinical studies to translate into clinical trials. (©2020 American Association for Cancer Research.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|