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Building clinically faithful ex vivo indolent lymphoma models for personalized therapy

Building clinically faithful ex vivo indolent lymphoma models for personalized therapy
建立临床忠实的离体惰性淋巴瘤模型以进行个性化治疗
批准号:
10290592
负责人:
Y. Lynn Wang
金额:
$26.23万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-17 至 2023-07-31

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中文摘要
翻译
项目摘要 由于慢性淋巴细胞的惰性,几乎没有建立慢性淋巴细胞的细胞系或动物模型。 白血病(CLL)和滤泡性淋巴瘤(FL)与其他类型的癌症相比。这样做的主要目标是 建议建立一种模拟体内肿瘤的体外惰性淋巴瘤(INHL)模型 具有忠实的药物敏感性/耐药性读数的微环境,以实现个性化用药。这个 中心假设是,模拟肿瘤微环境(TME)的体外模型将使iNHL 具有生理学意义,为临床药物检测提供了可靠的模型。根据我们的初步数据, 目标将通过以下两个具体目标来实现:1)完善和建立体外iNHL模型 这将最好地支持肿瘤细胞在体内的行为;2)通过关联建模来验证模型 药物反应与患者的临床反应和/或突变特征。在第一个目标中,体外优化 INHL模型将通过转导带有B细胞生长因子的骨髓成纤维细胞(BMF)来建立, 模拟在淋巴结的肿瘤环境中发现的不同类型的细胞。随后的共培养诱导 将测量细胞行为的变化,包括罕见的细胞增殖和黏附 在没有合适的iNHL模型的情况下进行测量。我们的目标是证明该模型在临床上是可行的。 相关且有潜在用处。我们将把个体模拟的细胞反应与临床反应联系起来。 和/或使用每个患者的肿瘤细胞构建个性化治疗方案的60名患者的突变情况 模特。我们相信拟议的研究是创新的,因为一个实用的和临床上忠实的个性化 RX模式目前还不存在,用于治疗惰性淋巴瘤。预计最终的模式将是 快速、简单、经济,为个别患者提供个性化的药物试验。在这个模型中,我们寻求 为iNHL造福临床向个性化医疗迈进一大步 病人。成功完成拟议的研究将带来以下切实的好处:1)模型 它概括了iNHL-TME,它能够评估难治性惰性淋巴瘤的体内行为, 由于缺乏合适的模型,目前无法实现;2)实用(快速、简单、经济)和 临床忠实模型,可用于指导临床个体化治疗选择,导致 直接惠及患者;3)大量遗传异质性肿瘤模型,将简化 未来药物开发的效率;以及4)适用于其他惰性AS的建模方法潜力 以及侵袭性淋巴瘤。
英文摘要
Project Summary Due to their indolent nature, few cell lines or animal models have been established for chronic lymphocytic leukemia (CLL) and follicular lymphoma (FL) compared to other types of cancer. The primary goal of this proposal is to establish an ex vivo indolent lymphoma (iNHL) model that mimics the tumor in vivo microenvironment with faithful readouts of drug sensitivity/ resistance to enable personalized medicine. The central hypothesis is that an ex vivo model with tumor microenvironment (TME) mimicry would make iNHL behave physiologically and provide a clinical faithful model for drug testing. Guided by our preliminary data, the objective will be achieved by the following two specific aims: 1) To refine and build ex vivo iNHL models that will best support tumor cell in vivo behaviors; 2) To validate the models by correlating modeled drug response with patients’ clinical response and/or mutation profiles. In the first aim, optimized ex vivo iNHL models will be created by transducing bone marrow fibroblasts (BMF) with B-cell growth factors, mimicking different cell types found in the tumor milieu in the lymph nodes. Subsequent co-culture-induced changes in cellular behaviors will be measured including cell proliferation and adhesion that are rarely measured in the absence of suitable iNHL models. We then aim to demonstrate that the model is clinically relevant and potentially useful. We will correlate individual modeled cellular response with the clinical response and/or mutation profiles for 60 patients using each patient’s tumor cells to build a personalized therapeutic model. We believe the proposed study is innovative because a practical and clinically faithful personalized Rx model is currently non-existent for indolent lymphoma. It is anticipated that the eventual model will be fast, simple, and economical, enabling a personalized drug trial for individual patients. With the model, we seek to make a stride towards the reality of practicing personalized medicine in the clinic for the benefits of iNHL patients. Successful completion of the proposed research will deliver the following tangible benefits: 1) Models which recapitulate the iNHL-TME that enable evaluation of in vivo behaviors of refractory indolent lymphoma, not currently achievable with the lack of suitable models; 2) Practical (fast, simple, and economical) and clinically faithful models which may be used to guide individualized therapy selection in the clinic leading to direct patient benefits; 3) A large number of genetically heterogeneous tumor models which will streamline the efficiency of future drug development; and 4) A modeling approach potential applicable to other indolent as well as aggressive lymphomas.
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Building clinically faithful ex vivo indolent lymphoma models for personalized therapy
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