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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 and subclone events, and the potential PDX models for NCI-MATCH trials. Lastly, we provide a web portal having comprehensive pan-cancer PDX genomic profiles and source code to facilitate identification of more druggable events and further insights into PDXs’ recapitulation of human tumors., Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and their suitability for clinical trials.

Introduction: The ATR (ataxia-telangiectasia and Rad3 related protein) kinase inhibitor BAY 1895344 is currently in clinical development for the treatment of advanced solid tumors and has demonstrated promising antitumor activity in heavily pretreated patients with various advanced solid tumors, particularly those with ATM deleterious mutations and/or loss of ATM protein. There is further need to identify robust predictive biomarkers to optimize patient selection for ATR inhibitors. For that purpose, we tested the antitumor activity of BAY 1895344 in patient-derived xenograft (PDX) models that are characterized by a variety of DDR alterations. Methods: PDX models were characterized by genomic sequencing and ATM loss by immunohistochemistry (IHC). PDX models with deleterious ATM, BRCA1 or BRCA2 mutations or loss derived from a variety of histologies were tested. BAY1895344 treatment was tested with two monotherapy regimens 20 mg/kg and 40 mg/kg PO BID both 3 days on/4 days off. For in vivo studies, the percent tumor volume change per time point was calculated as a relative level of tumor growth change from baseline: , where is the tumor volume at time and is the tumor volume at baseline. T/C ratio was defined as the ratio of tumor volume change in treated vs control group. An event in each animal was defined as a doubling of tumor volume from initial tumor volume. Event free survival was analyzed by Kaplan-Meier survival analysis. Results: Seventeen PDX models from sixteen patients were treated with BAY 1895344. The PDX models spanned multiple tumor types: breast, colon, pancreas, and cholangiocarcinoma. BAY 1895344 has shown potent and dose-dependent antitumor activity. Strongest activity was observed with BAY 1895344 at 40 mg/kg PO BID applied for 3 days on and 4 days off treatment, achieving a regression or T/C ratio Citation Format: Christian X. Cruz Pico, Dali Li, Christopher D. Lanier, Kurt Evans, Maria G. Raso, Timothy DiPeri, Yasmeen Rizvi, Min Jin Ha, Huiqin Chen, Ming Zhao, Argun Akcakanat, Xiaofeng Zheng, Gokce Toruner, Erkan Yuca, Stephen Scott, Antje M. Wengner, Timothy A. Yap, Funda Meric-Bernstam. Anti-tumor activity of ATR inhibitor BAY 1895344 in patient-derived xenograft (PDX) models with DNA damage response (DDR) pathway alterations [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P058.