Modeling Therapy of Disseminated Cancer Cells in Bone Marrow (PQ 17)

骨髓中播散性癌细胞的建模治疗 (PQ 17)

• 批准号: 8704735
• 负责人: Gary D Luker
• 金额: $ 31.8万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8704735
• 关键词: Adjuvant; Antineoplastic Agents; Bone Marrow; Bone Marrow Cells; Breast Cancer Cell; Cancer cell line; Cell Culture System; Cell Culture Techniques; Cell Line; Cells; Cessation of life; Characteristics; Clinical; Communities; Data; Development; Diagnosis; Disease; Drug Kinetics; Drug Targeting; Drug resistance; Drug usage; Endothelium; Frequencies; Heterogeneity; Human; Human Cell Line; Hypoxia; Image Analysis; Imaging Techniques; In Vitro; Lead; Lung; Malignant Neoplasms; Mammary Neoplasms; Measures; Mesenchymal Stem Cells; Methods; Modeling; Molecular; Monitor; Mus; Neoplasm Metastasis; New Agents; Osteoblasts; Outcome; Oxygen measurement, partial pressure, arterial; Patients; Pharmaceutical Preparations; Physiological; Physiology; Postoperative Period; Primary Neoplasm; Proliferating; Prostate; Recurrence; Recurrent Malignant Neoplasm; Recurrent disease; Relapse; Relative (related person); Reporter; Research; Risk; Sampling; Signal Pathway; Signal Transduction; Site; Solid; Specimen; Stromal Cells; System; Technology; Testing; Time; Translations; Treatment Protocols; Tumor Subtype; Xenograft procedure; anticancer research; cancer cell; cancer therapy; cancer type; cell type; chemotherapy; cost; cytokine; cytotoxicity; drug development; drug efficacy; drug testing; imaging modality; improved; in vivo; innovation; malignant breast neoplasm; molecular imaging; mortality; mouse model; neoplastic cell; optical imaging; outcome forecast; prevent; response; self-renewal; tumor

DESCRIPTION (provided by applicant): As determined by the cancer research community and NCI, inefficiencies and inaccuracies of existing methods for drug testing are critical obstacles preventing development and clinical translation of new drugs to dramatically improve cancer therapy (Provocative Question 17). To overcome these obstacles, we will develop a new 3D cell culture model of disseminated breast cancer cells in the bone marrow microenvironment. Our focus on the bone marrow microenvironment is driven by the high frequency of disseminated cancer cells even in patients with seemingly localized primary tumors, limited activity of drugs against metastases relative to primary tumors, and > 90% of cancer mortality caused by metastatic disease. Our model will incorporate multiple types of human bone marrow stromal cells, including mesenchymal stem cells, endothelium, and osteoblasts. One or more of these cell types form protective niches that may confer drug resistance to metastatic breast cancer cells through intercellular signaling pathways. We will optimize culture conditions to reproduce hypoxia normally present in human bone marrow, using an innovative imaging technique to quantify oxygenation within 3D spheroids. We will test activity of standard chemotherapeutic drugs in breast cancer and promising molecularly-targeted compounds against human cell lines representative of intrinsic molecular subtypes of breast cancer integrated into 3D bone marrow spheroids. We also will test compounds against primary human breast cancer cells passaged only as mouse xenografts and correlate responses in 3D culture with patient outcomes. For both cell lines and primary tumor specimens, we will use advanced optical imaging methods to measure drug targeting, potential mechanisms of drug resistance, and heterogeneous responses of breast cancer cells to treatment. We will answer Provocative Question 17 by accomplishing the following specific aims: 1) develop an advanced 3D culture system to analyze treatment of disseminated human breast cancer cells in bone marrow; 2) quantify effects of compounds on breast cancer cell lines representative of molecular subclasses of human breast cancer and tumor-initiating cells; 3) determine activities of compounds against primary patient tumor samples. Collectively, this research will establish a facile, inexpensive, reproducible model to test potential cancer drugs and accurately match compounds with patient subpopulations highly likely to respond to treatment. The strategy will accelerate clinical translation of new, more effective cancer drugs while reducing costs of drug development.

描述（由申请人提供）：正如癌症研究界和NCI所确定的，现有药物检测方法的效率低下和不准确是阻碍新药开发和临床转化以显著改善癌症治疗的关键障碍（挑衅性问题17）。为了克服这些障碍，我们将开发一种新的骨髓微环境中播散性乳腺癌细胞的3D细胞培养模型。我们对骨髓微环境的关注是由高频率的播散性癌细胞驱动的，即使在表面上局限的原发性肿瘤患者中，相对于原发性肿瘤，药物对转移的活性有限，以及> 90%的癌症死亡率由转移性疾病引起。我们的模型将纳入多种类型的人骨髓基质细胞，包括间充质干细胞，内皮细胞和成骨细胞。这些细胞类型中的一种或多种形成保护性小生境，可通过细胞间信号传导途径赋予转移性乳腺癌细胞耐药性。我们将优化培养条件，以重现通常存在于人类骨髓中的缺氧，使用创新的成像技术来量化3D球体内的氧合。我们将测试标准化疗药物在乳腺癌中的活性，以及有希望的分子靶向化合物对代表乳腺癌内在分子亚型的人细胞系的活性，这些细胞系整合到3D骨髓球体中。我们还将针对仅作为小鼠异种移植物传代的原代人类乳腺癌细胞测试化合物，并将3D培养中的反应与患者结果相关联。对于细胞系和原发性肿瘤标本，我们将使用先进的光学成像方法来测量药物靶向，潜在的耐药机制和乳腺癌细胞对治疗的异质性反应。我们将通过实现以下具体目标来回答挑衅性问题17：1）开发先进的3D培养系统，以分析骨髓中播散的人乳腺癌细胞的治疗; 2）量化化合物对代表人乳腺癌和肿瘤起始细胞的分子亚类的乳腺癌细胞系的影响; 3）确定化合物对原发性患者肿瘤样品的活性。总的来说，这项研究将建立一个简单，廉价，可重复的模型来测试潜在的癌症药物，并准确地将化合物与极有可能对治疗产生反应的患者亚群相匹配。该战略将加速新的、更有效的癌症药物的临床转化，同时降低药物开发成本。