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DF/HCC Kidney Cancer SPORE Tissue, Acquisition, Pathology and Clinical Data Core 2

DF/HCC Kidney Cancer SPORE Tissue, Acquisition, Pathology and Clinical Data Core 2
DF/HCC 肾癌 SPORE 组织、采集、病理学和临床数据核心 2
批准号:
10024140
负责人:
RUPAL S BHATT
金额:
$62.67万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

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中文摘要
翻译
摘要: 组织采集、病理和临床数据(TAPCD)核心的首要目标是保持 并扩大现有的标本储存库,包括肾脏患者的组织、血液和尿液 已同意将其样本与临床数据联系起来的肿瘤。此组件中包括 收集、冷冻和储存肾癌和配对的非肿瘤组织的新鲜样本;收集, 血液和尿液的处理和储存;固定组织样品的鉴定和提供, 包括从以下来源获得的活检和肾切除术样本构建组织微阵列(TMA) 同意对这些组织进行分析的患者。CATIssue系统,也就是NCI CaBIG的生物信息库工具用于生物样品库存管理,目前用于跟踪标本 通过使用条形码技术,通过请求、发货和接收过程的每一步。 重要的是,TAPCD核心将继续维护所有同意的临床数据(CRI)数据库 肾癌患者。数据库的价值通过使用标准化的病理检查程序而得到加强 和数据收集程序。数据库和标本跟踪系统提供了信息学联系 在参与的Dana-Farber/哈佛癌症中心(DF/HCC)医院中,包括Dana-Farber 癌症研究所和布里格姆妇女医院(DFCI/BWH),贝丝以色列女执事医疗中心 (BIDMC)和麻省总医院(MGH)。这允许无缝共享样本 资源,链接到临床结果数据,支持安全的数据管理系统,可用于 所有参与机构的孢子调查员。保护患者的机密性是有保障的 在整个过程中,从标本收集到研究项目使用。生物统计学和 生物信息学核心正在并将继续负责协助数据分析、数据审计和 质量控制。 最后,TAPCD Core已经并将继续为孢子调查人员提供各种服务 对成功进行人类肾脏肿瘤和动物模型的分子分析至关重要。这些服务 包括:组织病理学回顾和实验中使用的所有肿瘤样本的质量控制分析 研究;冰冻组织样本的宏观解剖和石蜡包埋或冷冻的玻片显微解剖 确保实验研究中使用的样品的高肿瘤细胞密度的组织.激光捕获 提供超纯肿瘤标本的显微解剖(LCM);常规免疫组织化学的表现 人肾癌组织(TMA)的免疫组化和多参数免疫荧光染色 用于IHC和IF的已知和新蛋白抗体的优化和验证;分析 利用计算机辅助图像分析对广泛的IHC和多重IF染色进行分析;开发新的 RCC模型。
英文摘要
Summary: The first and foremost goal of the Tissue Acquisition, Pathology, and Clinical Data (TAPCD) Core is to maintain and expand the existing repository for specimens, including tissues, blood and urine from patients with kidney tumors that have given consent to link their samples to clinical data. Included in this component are the collection, freezing, and storage of fresh samples of kidney cancer and paired non-tumor tissue; the collection, processing and storage of blood and urine; the identification and provision of samples of fixed tissues, including construction of tissue microarrays (TMAs) from biopsy and nephrectomy samples obtained from patients who have consented to allow analysis of these tissues. The caTissue system, which is the NCI caBIG's biorepository tool for biospecimen inventory management, is currently used to track specimens through every step of the requesting, shipping, and receiving process through the use of barcode technology. Importantly, the TAPCD Core will continue to maintain a database of clinical data (CRIS) on all consenting RCC patients. The value of the database is enhanced by the use of standardized pathology review procedures and data collection procedures. The database and specimen tracking system provide an informatics link among the participating Dana-Farber/Harvard Cancer Center (DF/HCC) hospitals, including the Dana-Farber Cancer Institute and Brigham and Women’s Hospital (DFCI/BWH), the Beth Israel Deaconess Medical Center (BIDMC), and the Massachusetts General Hospital (MGH). This allows seamless sharing of specimen resources, linked to clinical outcome data, behind a secure data management system that is available to SPORE investigators at all participating institutions. The protection of patient confidentiality is guarded throughout the whole process, from specimen collection to use in research projects. The Biostatistics and Bioinformatics Core is and will continue to be responsible for assisting in the data analysis, data auditing and quality control. Finally, TAPCD Core has provided and will continue to provide SPORE investigators a variety of services critical to successful molecular analysis of human kidney tumors as well as animal models. These services include: histopathologic review and quality control analysis of all tumor samples utilized in experimental studies; macrodissection of frozen tissue samples and slide microdissection of paraffin-embedded or frozen tissues to ensure high neoplastic cellularity for samples utilized in experimental studies; laser capture microdissection (LCM) to provide ultra-pure tumor samples; performance of routine immunohistochemistry (IHC) and multiparametric immunofluorescence (IF) stains on human kidney cancers (TMAs or whole tissue sections); optimization and validation of antibodies to known and novel proteins for use in IHC and IF; analysis of a broad range of IHC and multiplex IF stains using computer-assisted image analysis; development of novel RCC models.
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