Life Sciences Commons^™

Comprehensive Characterization Of 536 Patient-Derived Xenograft Models Prioritizes Candidatesfor Targeted Treatment., Hua Sun, Song Cao, R Jay Mashl, Chia-Kuei Mo, Simone Zaccaria, Michael C Wendl, Sherri R Davies, Matthew H Bailey, Tina M Primeau, Jeremy Hoog, Jacqueline L Mudd, Dennis A Dean, Rajesh Patidar, Li Chen, Matthew A Wyczalkowski, Reyka G Jayasinghe, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Yize Li, Kian-Huat Lim, Andrea Wang-Gillam, Brian A Van Tine, Cynthia X Ma, Rebecca Aft, Katherine C Fuh, Julie K Schwarz, Jose P Zevallos, Sidharth V Puram, John F Dipersio, Nci Pdxnet Consortium, Brandi Davis-Dusenbery, Matthew J Ellis, Michael T Lewis, Michael A Davies, Meenhard Herlyn, Bingliang Fang, Jack A Roth, Alana L Welm, Bryan E Welm, Funda Meric-Bernstam, Feng Chen, Ryan C Fields, Shunqiang Li, Ramaswamy Govindan, James H Doroshow, Jeffrey A Moscow, Yvonne A Evrard, Jeffrey Chuang, Benjamin J Raphael, Li Ding, Carol J Bult, Peter N Robinson

Faculty Research 2021

Development of candidate cancer treatments is a resource-intensive process, with the research community continuing to investigate options beyond static genomic characterization. Toward this goal, we have established the genomic landscapes of 536 patient-derived xenograft (PDX) models across 25 cancer types, together with mutation, copy number, fusion, transcriptomic profiles, and NCI-MATCH arms. Compared with human tumors, PDXs typically have higher purity and fit to investigate dynamic driver events and molecular properties via multiple time points from same case PDXs. Here, we report on dynamic genomic landscapes and pharmacogenomic associations, including associations between activating oncogenic events and drugs, correlations between whole-genome duplications …

User Testing Of A Diagnostic Decision Support System With Machine-Assisted Chart Review To Facilitate Clinical Genomic Diagnosis., Alanna Kulchak Rahm, Nephi A Walton, Lynn K Feldman, Conner Jenkins, Troy Jenkins, Thomas N Person, Joeseph Peterson, Jonathon C Reynolds, Peter N Robinson, Makenzie A Woltz, Marc S Williams, Michael M Segal

Faculty Research 2021

OBJECTIVES: There is a need in clinical genomics for systems that assist in clinical diagnosis, analysis of genomic information and periodic reanalysis of results, and can use information from the electronic health record to do so. Such systems should be built using the concepts of human-centred design, fit within clinical workflows and provide solutions to priority problems.

METHODS: We adapted a commercially available diagnostic decision support system (DDSS) to use extracted findings from a patient record and combine them with genomic variant information in the DDSS interface. Three representative patient cases were created in a simulated clinical environment for user …

Mouse Genome Database (Mgd): Knowledgebase For Mouse-Human Comparative Biology., Judith A. Blake, Richard M. Baldarelli, James A. Kadin, Joel E Richardson, Cynthia Smith, Carol J Bult, Mouse Genome Database Group

Faculty Research 2021

The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. MGD is the authoritative source for biological reference data related to mouse genes, gene functions, phenotypes and mouse models of human disease. MGD is the primary source for official gene, allele, and mouse strain nomenclature based on the guidelines set by the International Committee on Standardized Nomenclature for Mice. MGD's biocuration scientists curate information from the biomedical literature and from large and small datasets contributed …