Application of Genomic Microarrays to Breast Cancer

个人描述(申请人提供)：我的目标是利用这笔资金 回答生物学问题的机制。在这个过程中，我将扩大 我的知识基础，通过参加以下领域的课程和研讨会 生物信息学，我的项目严重依赖的一个学科，以及该领域 关于病理生物学，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 原发乳腺癌。此外，它还将用于比较副本数量 导管原位癌与浸润性导管病变的关系 癌症(IDC)。DCIS中发生拷贝数波动的区域 将与IDC的相似性进行比较，以证明IDC 源自DCIS。所有肿瘤活检的拷贝数波动 将被映射到比以前更精细的分辨率。世界各地的 确定的基因组可能代表区域，当突变时对路径有贡献 变得恶毒。这些区域将有多种用途作为标记，例如 诊断、预后和相关候选基因的识别 在走向恶行的道路上。

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.