Abstract 1059: A case study: OncoRat is a viable patient avatar for a NSCLC patient with a Y1248H Met activating mutation

Abstract

Abstract Human cancer xenografts in rodents can provide predictive data on the success of candidate drugs in clinical trials and have been a pivotal tool in moving new drugs from the bench to the clinic. However, currently available immunodeficient mouse models have shown some limitation and variability in tumor take rates and growth kinetics in cancer cell lines. In addition, commercially available human cancer cell lines aren’t representative of the genomic and molecular diversity of cancers found in patients. Patient Derived Xenograft (PDX), in which tumor tissue is transplanted directly into rodents after biopsy from the patient, better represents that molecular signature, heterogeneity, and pathology of the original tumor. Therefore, in vivo efficacy studies with PDX models could be highly predictive for treatment sensitivity. Despite the many advantages of PDXs for preclinical research, PDX mouse models are hindered by low engraftment rates and slow tumor growth kinetics. The loss of patient tumor heterogeneity and stromal cells as the PDX is passaged multiple times to generate sufficient tumor tissue to inoculate a cohort of animals for efficacy studies is also a disadvantage in the immunodeficient mouse models. To address these limitations, we have introduced the OncoRat®; built on the SRGTM Platform, a Sprague-Dawley Rag2/Il2rg double knockout rat that lacks mature B cells, T cells, and circulating NK cells. We have demonstrated that the OncoRat has improved tumor take rate and growth kinetics for non-small cell lung cancer (NSCLC) PDXs. The NSLSC PDXs in the OncoRat have a much larger tumor volume, over 20,000 mm3 in the first passage (P0) in the rat, which provides an ample source of tissue for characterization and/or subsequent passage (P1) into OncoRat for drug efficacy studies. This leads to fewer animals used for study and faster timelines to drug efficacy data, resulting in a reduction in cost. In addition, we have used genomic analysis for guidance in planning in vivo efficacy studies. One of our NSCLC PDX models harbors a novel mutation in the MET pathway, suggesting this tumor would not be responsive to standard of care treatment. An efficacy study we performed in the OncoRat suggests that this particular tumor would respond well to Type II MET inhibitors, such as Cabonzantinib. This proof of concept study demonstrates that genomic and molecular analysis can provide insight into treatment outcomes and that PDX models in the OncoRat could serve as patient avatars for predicting treatment outcomes. Citation Format: Fallon K. Noto, Bisoye Towobola Adedeji, Sam Moody, Chris Brenzel, Jack Crawford, Goutham Narla, Tseten Yeshi Jamling. A case study: OncoRat is a viable patient avatar for a NSCLC patient with a Y1248H Met activating mutation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1059.