Abstract 4367: Discovery and evaluation of pharmacodynamic and predictive biomarkers for anti-RSPO3, a treatment that reduces tumor growth and cancer stem cell frequency in patient derived xenograft tumor models
F. Cattaruzza, P. Yeung, W. Yen, Alayne L. Brunner, Min Wang, Yu-Wang Liu, M. Fischer, G. O’Young, C. Chartier, A. Gurney, T. Hoey, J. Lewicki, A. Kapoun
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引用次数: 2
Abstract
R-spondins (RSPOs) are a novel family of secreted ligands that bind to LGR receptors and are important in human tumor development. We screened our tumor bank of close to 100 patient-derived xenografts (PDXs) and found that a subset of breast, lung, ovarian, and pancreatic cancer models highly express RSPO3, which activates the Wnt/β-catenin signaling pathway by blocking internalization and degradation of Frizzled receptors. We generated an anti-RSPO3 antibody that significantly reduces cancer stem cell frequency, as shown by an in vivo serial transplantation experiment performed in a lung PDX model. Briefly, fifty tumor cells from four different treatment groups (control antibody, anti-RSPO3, Paclitaxel, or the combination of anti-RSPO3 and Paclitaxel) were injected into a new cohort of mice. After 59 days, all mice in the control group developed palpable tumors while the mice implanted with cells harvested from anti-RSPO3 alone (p = 0.0009, vs. Ctr) or in combination with Paclitaxel (p = 0.0007, vs. Ctr) groups developed fewer and smaller tumors. The strongest effect in decreasing tumorigenicity was observed in the combination group (p = 0.0046 vs. Paclitaxel). We also tested anti-RSPO3 treatment in a range of RSPO3 expressing PDX cancer models. Our data show that compared to standard of care the combination of our antibody with Paclitaxel is more effective in promoting tumor growth inhibition (TGI) in both ovarian (93% Collectively the efficacy observed in our PDX models suggests that RSPO3 expression levels correlates with sensitivity to anti-RSPO3 and could be used as a predictive biomarker. We are currently developing assays to be used in the clinic to measure RSPO3 levels, and we intend to initiate a phase 1a trial for anti-RSPO3 in 2015. Citation Format: Fiore Cattaruzza, Pete Yeung, Wan-Ching Yen, Alayne Brunner, Min Wang, YuWang Liu, Marcus Fischer, Gilbert O9Young, Cecile Chartier, Austin Gurney, Tim Hoey, John Lewicki, Ann M. Kapoun. Discovery and evaluation of pharmacodynamic and predictive biomarkers for anti-RSPO3, a treatment that reduces tumor growth and cancer stem cell frequency in patient derived xenograft tumor models. [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 4367. doi:10.1158/1538-7445.AM2015-4367
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.