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

IF 12.5 1区 医学 Q1 ONCOLOGY Cancer research Pub Date : 2015-08-01 DOI:10.1158/1538-7445.AM2015-4367
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
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摘要:发现和评估抗rspo3的药效学和预测性生物标志物,rspo3是一种在患者源性异种移植肿瘤模型中降低肿瘤生长和癌症干细胞频率的治疗方法
R-spondins (RSPOs)是一类与LGR受体结合的新型分泌配体,在人类肿瘤的发展中起着重要作用。我们筛选了近100例患者来源的异种移植肿瘤(pdx),发现乳腺癌、肺癌、卵巢癌和胰腺癌模型的一个亚群高度表达RSPO3, RSPO3通过阻断卷曲受体的内化和降解来激活Wnt/β-catenin信号通路。我们产生了一种抗rspo3抗体,可以显著降低癌症干细胞的频率,正如在肺PDX模型中进行的体内系列移植实验所显示的那样。简单地说,将来自4个不同治疗组(对照抗体、抗rspo3、紫杉醇或抗rspo3和紫杉醇联合)的50个肿瘤细胞注射到一组新小鼠体内。59天后,对照组的所有小鼠都出现了可触及的肿瘤,而单独植入抗rspo3细胞的小鼠(p = 0.0009,与Ctr相比)或联合紫杉醇(p = 0.0007,与Ctr相比)组的小鼠出现了更少、更小的肿瘤。联合用药组降低致瘤性的效果最强(p = 0.0046 vs紫杉醇)。我们还在一系列表达RSPO3的PDX癌症模型中测试了抗RSPO3治疗。我们的数据显示,与标准治疗相比,我们的抗体与紫杉醇联合在促进卵巢肿瘤生长抑制(TGI)方面更有效(93%)。在我们的PDX模型中观察到的疗效表明,RSPO3表达水平与抗RSPO3的敏感性相关,可以用作预测性生物标志物。我们目前正在开发用于临床测量RSPO3水平的检测方法,并计划在2015年启动抗RSPO3的1a期试验。引文格式: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。抗rspo3的药效学和预测性生物标志物的发现和评估,rspo3是一种在患者来源的异种移植肿瘤模型中降低肿瘤生长和癌症干细胞频率的治疗方法。[摘要]。摘自:第106届美国癌症研究协会年会论文集;2015年4月18-22日;费城,宾夕法尼亚州。费城(PA): AACR;癌症研究,2015;75(15增刊):摘要nr 4367。doi: 10.1158 / 1538 - 7445. - am2015 - 4367
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Cancer research
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CiteScore
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自引率
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发文量
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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.
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