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Introduction: Malignant rhabdoid (MRT) and Wilms tumor (WT) comprise more than 5% of all pediatric cancers. Despite intensive multimodality therapy, outcomes remain dismal for a subset of patients with aggressive or high-risk molecular features. Characteristic of most pediatric cancers, MRT and WT demonstrate relatively low frequencies of somatic mutations compared to adult tumors and generally lack therapeutically targetable genetic alterations. Hence, we applied a systems biology approach to identify and evaluate non-genetically encoded vulnerabilities in MRT and WT. Methods: MetaVIPER analysis was performed to computationally infer protein activity from MRT and WT whole transcriptomic data available in the TARGET database. Expanded metaVIPER analysis of TARGET and TCGA cohorts demonstrated XPO1 as having consistently high inferred activity in MRT and WT. Functional in vitro studies using a selective inhibitor of XPO1, selinexor, were performed on a panel of MRT and WT cell lines to evaluate the effects of XPO1 inhibition on proliferation, cell cycle transition and apoptosis induction. In vivo validation of anti-tumor activity following XPO1 inhibition were performed in cell line-derived (CDX) and patient-derived xenograft (PDX) models of MRT and WT. Results: MetaVIPER analysis identified consistent high inferred activity of XPO1 in MRT and WT compared to other tumor types. MRT and WT cell lines demonstrated in vitro sensitivity to selinexor treatment resulting in cell cycle arrest and apoptosis induction. Furthermore, protein expression analysis showed increased nuclear sequestration of tumor suppressors proteins following treatment with selinexor. In vivo treatment of panel of MRT and WT CDX and PDX models with selinexor and a next-generation XPO1 inhibitor, eltanexor, resulted in significant abrogation of tumor growth with associated decreases in inferred XPO1 activity. Pharmacodynamic analysis of treated PDX tumors show decreased levels of XPO1, RB1-pSer780, and increased p53, p27 and p21 protein levels. Based on promising preclinical data, we describe a case report of a child with relapsed and progressive Wilms tumor who experienced a sustained complete remission on maintenance selinexor therapy. Conclusion: XPO1 represents a non-genetically encoded vulnerability in MRT and WT. Promising preclinical activity in MRT and WT models has provided the preclinical rationale for evaluation of XPO1 inhibition in an investigator-initiated clinical trial of Selinexor in pediatric MRT and WT. Citation Format: Diego F. Coutinho, Chelsey Burke, Prabhjot Mundi, Michael V. Ortiz, Kelly L. Vallance, Matthew Long, Nestor Rosales, Glorymar Ibanez, Lianna J. Marks, Daniel Diolaiti, Andoyo Ndengu, Daoqi You, Armaan Siddiquee, Ervin S. Gaviria, Allison R. Rainey, Andrea Califano, Andrew L. Kung, Filemon S. Dela Cruz. Targeting of the nuclear export protein XPO1 represents a non-genetically encoded vulnerability in malignant rhabdoid and Wilms tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1810.

Background: Recapitulation of the full spectrum of genomic changes driving patient tumors have resulted in increased use of patient-derived xenograft (PDX) models in studies of basic cancer biology and preclinical drug development. Given the translational potential of PDXs and limited availability of pediatric cancer models, we established a PDX program to expand the existing collection of pediatric PDXs in the community and enable pre- and post-clinical studies. Methods: PDX generation requests were integrated into clinical workflows to maximize identification of eligible patients for informed consent and tissue collection at Memorial Sloan Kettering Cancer Center. Methodologies for tissue procurement and cryopreservation were optimized to facilitate implantation into host immunodeficient mice and enable multi-institutional tissue exchange for model building. A bioinformatics pipeline was established to allow molecular validation of engrafted PDXs using a next-generation targeted gene panel (MSK-IMPACT) evaluating concordance based on acquired mutations, copy number alterations and clonal structure. Results: Between November 2016 - October 2021, 379 PDX models were developed (265 distinct models) representing 69 discrete diagnoses. Sarcoma represents the most common model type (50 discrete osteosarcoma, 20 desmoplastic small round cell tumor, 14 Ewing sarcoma, 24 rhabdomyosarcoma, 2 CIC/DUX4 and 2 BCOR-rearranged sarcoma) followed by neuroblastoma (n=35), leukemia (n=44), and Wilms tumor (n=15). While the majority of PDXs were established from recurrent or metastatic tissue, 7 paired diagnostic/pre-therapy and post-therapy or relapse models were generated. Genomic characterization of PDXs demonstrate excellent concordance and recapitulation of single nucleotide variants (90%), structural (88%) and copy number variants (94%) between patient tumor and matched PDX. Discrepancies between matched patient/PDX pairs are due to sub-clonal heterogeneity in source tumors with clonal outgrowth in the PDX. Analysis of serial PDX passages also demonstrate stable recapitulation of the genomic profile. Establishment of a diverse PDX collection allowed preclinical evaluation of 10 targeted agents across a spectrum of pediatric tumors and provided the preclinical rationale for 3 investigator-initiated pediatric clinical trials. Conclusions: Investment in the development of a phenotypically diverse and biologically faithful collection of pediatric PDX models enables the goals of precision medicine. Optimization of PDX workflows and methods has also enabled the development of a pediatric PDX consortium (PROXC - Pediatric Research in Oncology Xenografting Consortium) to further support the development of pre- and post-clinical studies for pediatric cancer. Citation Format: Filemon S. Dela Cruz, Joseph G. McCarter, Daoqi You, Nancy Bouvier, Xinyi Wang, Kristina C. Guillan, Armaan H. Siddiquee, Katie B. Souto, Hongyan Li, Teng Gao, Dominik Glodzik, Daniel Diolaiti, Neerav N. Shukla, Joachim Silber, Umeshkumar K. Bhanot, Faruk Erdem Kombak, Diego F. Coutinho, Shanita Li, Juan E. Arango Ossa, Juan S. Medina-Martinez, Michael V. Ortiz, Emily K. Slotkin, Michael D. Kinnaman, Sameer F. Sait, Tara J. O'Donohue, Marissa Mattar, Maximiliano Meneses, Michael P. LaQuaglia, Todd E. Heaton, Justin T. Gerstle, Nicola Fabbri, Chelsey M. Burke, Irene M. Rodriquez-Sanchez, Christine A. Iacobuzio-Donahue, Julia L. Glade Bender, Ryan D. Roberts, Jason T. Yustein, Nino C. Rainusso, Brian D. Crompton, Elizabeth Stewart, Alejandro Sweet-Cordero, Leanne C. Sayles, Andrika D. Thomas, Michael H. Roehrl, Elisa de Stanchina, Elli Papaemmanuil, Andrew L. Kung. Development of a patient-derived xenograft (PDX) modeling program to enable pediatric precision medicine [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 704.