(PQD5) Predicting Anti-Cancer Efficacy through Tumor Profiling

(PQD5) 通过肿瘤分析预测抗癌功效

• 批准号: 8687215
• 负责人: CHARLES M. PEROU
• 金额: $ 40.59万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8687215
• 关键词: Address; Animal Model; Animals; Antineoplastic Agents; Biological Assay; Biological Markers; CDKN2A gene; Cancer Model; Cancer cell line; Capital; Clinical; Clinical Trials; Complement; DNA; DNA Sequence; Data; Drug Kinetics; Elements; Environment; Event; Failure; Genes; Genetic; Genetic Engineering; Genomics; Heterogeneity; Human; Image; Immune response; Immune system; Immunocompromised Host; In Vitro; Intellectual Property; Malignant Neoplasms; Methods; Modeling; Molecular; Molecular Analysis; Mus; Mutation; Neoplasm Metastasis; Patients; Pattern; Pharmacodynamics; Pharmacologic Substance; Phase; Physiological; Pre-Clinical Model; RNA Sequences; RNA analysis; Refractory; Regimen; Relative (related person); Research Infrastructure; Resistance; Resources; Shapes; Skin; Staging; System; Technology; Testing; Therapeutic; Therapeutic Agents; Therapeutic Studies; Time; Treatment Efficacy; Work; Xenograft Model; Xenograft procedure; base; cancer therapy; drug development; efficacy testing; human data; melanoma; mouse model; next generation; novel; novel strategies; preclinical efficacy; public health relevance; research clinical testing; response; success; therapeutic target; tumor; tumor growth; wasting

DESCRIPTION (provided by applicant): An experimental issue hampering our ability to understand the therapeutic refractoriness of melanoma and other human cancers has been a lack of validated and faithful models for efficacy testing. Historically, promising anti-cancer compounds have been tested for preclinical efficacy in vitro and then in mouse 'xenograft' models prior to human testing. In xenograft systems, human cancer cell lines are grown under the skin of immunocompromised mice, and then xenograft-bearing animals are treated with intended therapies. These models are not physiologic, and have a poor track record of predicting therapeutic success. Recent changes have made it possible to test would-be cancer therapies in genetically engineered murine models (GEMMs) of cancer, which provide several advantages to xenograft models. Studies conducted in the UNC Mouse Phase I Unit (MP1U) have shown that testing in GEMMs can better replicate human pharmacokinetics and efficacy prediction, and results from these studies can provide timely data for clinical trials. In this proposal we will study the therapeutic efficacy of several novel anti-cancer drugs slated for human trials in patients with melanoma, using our credentialed GEMMs. We will chose for testing, regimens that are currently being testing in human clinical trials, including anti-immune system targeted therapeutics, which are not able to be tested in xenograft models. Through the use of several well selected and validated GEM models of melanoma harboring different 'driver' genetics, we will identify somatic events associated with response to specific therapeutic agents. Responding and refractory tumors will be tested using genomic analysis of RNA and DNA to provide a further understanding of therapeutic response. We will then compare the predicted efficacy of these agents in GEMMs to results from 12 ongoing or planned human clinical trials, to empirically determine the ability of these murine 'co-clinical' trials to predit efficacy in human patients with melanoma.

描述（由申请人提供）：一个阻碍我们理解黑色素瘤和其他人类癌症治疗难治性的实验问题是缺乏有效和可靠的疗效测试模型。从历史上看，有希望的抗癌化合物已经在体外进行临床前疗效测试，然后在人体测试之前在小鼠“异种移植”模型中进行测试。在异种移植系统中，人类癌细胞系在免疫功能低下的小鼠皮肤下生长，然后用预定的疗法治疗携带异种移植物的动物。这些模型不是生理性的，并且在预测治疗成功方面有很差的记录。最近的变化使得在基因工程小鼠癌症模型（GEMMs）中测试潜在的癌症治疗成为可能，这为异种移植模型提供了几个优势。在UNC小鼠I期单元（MP1U）中进行的研究表明，在GEMMs中进行测试可以更好地复制人体药代动力学和疗效预测，这些研究结果可以为临床试验提供及时的数据。在本提案中，我们将研究几种新的抗癌药物的治疗效果，这些药物将用于黑色素瘤患者的人体试验，使用我们的认证GEMMs。我们将选择目前正在人体临床试验中进行测试的方案进行测试，包括抗免疫系统靶向治疗，这些治疗无法在异种移植模型中进行测试。通过使用几种经过精心选择和验证的黑色素瘤GEM模型，这些模型具有不同的“驱动”基因，我们将确定与特定治疗剂反应相关的体细胞事件。反应性和难治性肿瘤将使用RNA和DNA的基因组分析进行测试，以进一步了解治疗反应。然后，我们将这些药物在GEMMs中的预测疗效与12项正在进行或计划进行的人体临床试验的结果进行比较，以经验确定这些小鼠“联合临床”试验预测人类黑色素瘤患者疗效的能力。