Application of Genomic Microarrays to Breast Cancer

基因组微阵列在乳腺癌中的应用

• 批准号: 6759990
• 负责人: ROBERT LUCITO
• 金额: $ 14.09万
• 依托单位: COLD SPRING HARBOR LABORATORY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6759990
• 关键词: breast neoplasm /cancer diagnosis; breast neoplasms; chromosome aberrations; clinical research; flow cytometry; gene expression; genetic polymorphism; genome; human tissue; laser capture microdissection; linkage mapping; loss of heterozygosity; microarray technology; neoplasm /cancer classification /staging; neoplasm /cancer genetics; neoplastic process; neoplastic transformation; nucleic acid hybridization; prognosis

DESCRIPTION (provided by applicant): It is my goal to utilize this funding mechanism to answer a biological question. In the process I will be expanding my knowledge base, by taking courses and workshops in the field of bioinformatics, a discipline that my project relies on heavily, and the field of pathobiology, information I feel will give me a better understanding of the cancers that I intend on studying. I intend to use an array-based method to determine genome copy number fluctuations between two cancer genomes. This method based on genomic representations has been shown to be accurate at detecting deletions and amplifications from primary breast tumors. This method will be used to study the genome copy number fluctuations that occur in primary breast cancer. Furthermore it will be used to compare the copy number fluctuations between ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC). The regions that undergo copy number fluctuations in DCIS will be compared to those in IDC for similarity, to demonstrate whether IDC derives from DCIS. Copy number fluctuations identified for all tumor biopsies will be mapped to a finer resolution than before possible. The regions of the genome identified may represent regions, when mutated contribute to the path to malignancy. These regions will have several uses as markers, for diagnosis, prognosis, and for the identification of gene candidates involved in the path to malignancy.

描述（由申请人提供）：我的目标是利用这笔资金 来回答一个生物学问题 在这个过程中，我将扩大 我 知识基础，参加下列领域的课程和讲习班： 生物信息学是我的项目非常依赖的一门学科， 病理生物学，我觉得信息会让我更好地了解 我打算研究的癌症 我打算使用基于数组的方法来 确定两个癌症基因组之间的基因组拷贝数波动。 这 基于基因组表示的方法已被证明是准确的， 检测原发性乳腺肿瘤的缺失和扩增。 这 方法将被用来研究基因组拷贝数的波动，发生在 原发性乳腺癌 此外，它将用于比较拷贝数 导管原位癌（DCIS）和浸润性导管癌之间的波动 癌（IDC）。 DCIS中发生拷贝数波动的区域 将与IDC中的相似性进行比较，以证明IDC是否 源自DCIS。 所有肿瘤活检均发现拷贝数波动 将被映射到比以前更精细的分辨率。 的区域 所鉴定的基因组可能代表突变时有助于路径的区域， 恶性肿瘤 这些区域将有几种用途作为标记， 诊断、预后和鉴定相关的候选基因 在通往恶性肿瘤的道路上。