Abstract 1756: Genomic reclassification of endometrial carcinoma predicts drug response and facilitates refinement of current management based on PDX-guided efficacy outcomes
Authors: Yang Chieh-Hsiang , Gaffney David K. , Werner Theresa L. , Jarboe Elke A. , Gertz Jason , Varley Katherine E. , Peterson Matthew , Janat-Amsbury Margit M. 
Published: July 2017

Abstract
Endometrial cancer (EC) is the most common gynecological malignancy among American women. Steadily increasing numbers of newly diagnosed cases and deaths emphasize the necessity of improving current management strategies. Rather than the commonly known two types of EC based on histological classification, the Cancer Genome Atlas (TCGA) Research Network recently reported a reclassification that categorizes EC into four subtypes based on genomic characterization. Molecular similarities between these subtypes and other cancers, including colorectal, ovarian, and breast cancers, were identified. But to date, no prospective validation has delivered an improved understanding on how to translate these findings to the clinic in the form of treatments adapting genomic guidance.
Objectives: To evaluate drug response according to TCGA classification using a panel of twenty-seven established endometrial cancer patient-derived xenografts (EC-PDXs).
Methods: Twenty-seven EC-PDXs representing various stages of disease and histological subtypes were orthotopically transplanted and propagated over multiple generations. Upon thorough characterization including histology, metastatic status, and molecular features, EC-PDXs were further categorized into the four TCGA molecular subtypes on the basis of somatic copy number variations (CNV), microsatellite instability (MSI), and POLE mutations. A PDX clinical trial (PCT) was performed to re-evaluate current standard treatments in comparison to therapeutic agents adopted from treatment regimens for other cancer types based on their molecular similarities.
Results: EC-PDXs established from patients with recurrent disease exhibited minimal activity to first-line chemotherapeutic drugs, as expected, but remained sensitive to other second-line drugs. None of the tested drugs exhibited sufficient activity in POLE EC-PDXs. MSI EC-PDXs were found to be less sensitive to platinum-based treatment and resistant to 5-FU as reported for MSI colorectal cancer. CNV-high EC-PDXs were more sensitive to drugs adopted from current ovarian and breast cancer treatment regimens.
Conclusions: This is the first study that demonstrates the utility of TCGA classification for treatment guidance based on a PCT. Patients with recurrent and persistent disease are in desperate need of new therapeutic options. Our findings open up the possibility to utilize drugs which are currently used in the treatment of other cancers for the treatment of EC based on molecular similarities. In addition, this is the first study that successfully demonstrated the use of molecular classification to enable the prediction of drug response, and thus may facilitate the refinement of current EC management in a more precise and personalized way.
Citation Format: Chieh-Hsiang Yang, David K. Gaffney, Theresa L. Werner, Elke A. Jarboe, Jason Gertz, Katherine E. Varley, Matthew Peterson, Margit M. Janat-Amsbury. Genomic reclassification of endometrial carcinoma predicts drug response and facilitates refinement of current management based on PDX-guided efficacy outcomes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1756. doi:10.1158/1538-7445.AM2017-1756