Abstract
Abstract Liver cancer is one of the leading causes of cancer mortality worldwide. Hepatocelluar carcinoma (HCC) is the most common form of liver cancer, followed by intrahepatic cholangiocarcinoma (IHCC). HCC has dismal clinical outcome, whereas the prognosis is even worse for IHCC as it is more difficult to diagnose and to treat comparing to HCC. Surgical resection and local ablation remain the top choices of therapy for early liver cancer while chemoembolization-TACE is commonly used to treat intermediate HCC. Sorafenib is the only FDA approved target therapy for advanced HCC and its clinical utility in IHCC is still being examined in clinical trials. On-going clinical trials are also testing therapeutic modalities against oncogenic pathways including RTK signaling pathways, PI3K/Ras pathways and the angiogenesis pathway. PDX tumor models recapitulate the clinical complexity of the original human cancers. At GenenDesign, we have established over 800 PDX tumor models and conducted extensive drug response tests in a mouse trial format. GenenDesign liver cancer PDX tumor panel comprises of 36 HCC and over 10 IHCC models. Our in-house mouse trials in liver PDX tumor models include treatment with sorafenib as well as XL184, a multi-kinase inhibitor currently being evaluated in clinical trials. In addition, crizotinib (a cMET inhibitor) and AZD4547 (an FGFR inhibitor) as mono-therapies as well as in combination with sorafenib are also tested in search of therapeutic signals. From these studies, we have identified both drug sensitive and de novo drug resistant models. Through long-term treatment, acquired resistance models and reversible resistance models are also established. Currently, GD liver cancer PDX tumors are being analyzed by genetic and genomic profiling (hot-spot mutational analysis, exome-seq, RNA-seq, SNP array and gene expression array). Bioinformatics analysis is on-going to identify genomic signatures with the potential as predictive biomarkers for sorafenib and other targeted therapies in liver cancer. Together with genomic profiling, signal search in PDX mouse trials promise to be effective in generating preclinical datasets to facilitate clinical trial designs. Citation Format: Tengfei Yu, Ying Yan, Wei Du, Liang Hua, Xuqin Yang, Tingting Tan, Jiali Gu, Jingjing Jiang, Xin K. Ye, Zhenyu Gu. Effect of target therapies in liver cancer PDX tumor models: Response, resistance and predictive biomarkers. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1476. doi:10.1158/1538-7445.AM2015-1476
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
