Abstract 3007: Imaging characterization of NCI patient derived model repository (PDMR) xenografts
Authors: Paula M. Jacobs, James L. Tatum, Joseph D. Kalen, Lilia V. Ileva, Lisa A. Riffle, Keita Saito, Nimit L. Patel, Jessica Phillips, Melinda Hollingshead, Yvonne A. Evrard, Michelle Gottholm-Ahalt, Chelsea Sanders, Amy James, Simone Difilippantonio, Elijah F. Edmondson, James H. Doroshow
Journal: Cancer Research (2021)

Abstract The purpose of this work is to provide imaging data on patient derived xenografts models that are available from the National Cancer Institute Patient-Derived Models Repository (https://pdmr.cancer.gov) that may be useful to investigators in deciding which models to use in testing therapeutics or designing co-clinical trials. Using imaging to monitor progress of a treatment or evaluate development or prevention of metastases has advantages in minimizing the number of mice required as well as providing more information about metabolic status and tumor heterogeneity. NSG mice were implanted with each model and monitored with non-invasive imaging. The core imaging methodologies were T2W magnetic resonance imaging (MRI), to visualize heterogeneity and determine the usefulness of MRI to detect metastatic disease; 18F fluorodeoxyglucose PET/CT, to evaluate aerobic glycolysis; and 3'-Deoxy-3'-(18)F-fluorothymidine PET/CT, to evaluate proliferation. This work is ongoing and to date we have performed MRI on over 80 models with diverse tumor histology with a subset also undergoing FDG PET (77 models) and FLT PET (36 models). These models and their imaging characteristics will be presented. Nineteen models have demonstrated metastatic disease that could be detected by non-contrast MRI imaging with pathological confirmation, including ones derived from melanoma, lung, colon, pancreatic, uterine, anal, and head &amp; neck. Four of these (two colon adenocarcinoma, one melanoma and one pancreatic adenocarcinoma) have undergone more extensive characterization evaluating cohorts to determine location, timing of appearance, and penetrance of metastasis. These experiments evaluated cohorts of animals who were monitored as the primary tumors grew and others for whom the primary tumor was excised to encourage metastatic spread. The results of this metastatic characterization will be summarized. Additionally, the image data and the appropriate Standard Operating Procedures (SOP's) will be posted in The Cancer Imagining Archive (TCIA) https://www.cancerimagingarchive.net/ for investigators to access. The goal of this poster is to make investigators aware of the availability of this complementary imaging data as they consider research on models accessible from the NCI PDMR. Citation Format: Paula M. Jacobs, James L. Tatum, Joseph D. Kalen, Lilia V. Ileva, Lisa A. Riffle, Keita Saito, Nimit L. Patel, Jessica Phillips, Melinda Hollingshead, Yvonne A. Evrard, Michelle Gottholm-Ahalt, Chelsea Sanders, Amy James, Simone Difilippantonio, Elijah F. Edmondson, James H. Doroshow. Imaging characterization of NCI patient derived model repository (PDMR) xenografts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 3007.