Clinico-Genomics for Improved Ovarian Cancer Treatment

描述（由申请人提供）：我的主要目标是发展癌症基因组学和肿瘤学的知识库，这将补充我在统计学方面的知识，并使我能够通过杜克大学基因组研究与政策研究所（IGSP）计算与应用基因组学计划（CAGP）的高级科学家职位，识别和应用我的统计技能和能力在乳腺癌和卵巢癌基因组学的有前途的领域。我提议的项目包括癌症生物学、遗传学和流行病学方面的正式课程，这些课程是根据本基金的特定基因座和肿瘤发生的背景量身定制的。我将通过参与我的导师，IGSP基因组技术中心主任Joe Nevins博士的实验室来应用我在分子肿瘤学方面的知识。杜克大学综合癌症中心妇科肿瘤学家Andrew Berchuck医学博士将作为我的共同导师，指导我在卵巢癌领域的临床应用知识。在杜克大学综合癌症中心社区和家庭医学系副教授、癌症预防、检测和控制项目流行病学部门主任Joellen Schildkraut博士的共同指导下，我在癌症流行病学方面的教育将通过遗传流行病学的课程和研究来推进。

DESCRIPTION (provided by applicant): My primary objective is the development of a knowledge base in cancer genomics and oncology that will complement my knowledge in statistics and enables me to identify and apply my statistical skills and abilities in promising areas of breast and ovarian cancer genomics through my position as Senior Scientist in the Computational and Applied Genomics Program (CAGP) in the Institute for Genome Studies and Policy (IGSP) at Duke University. My proposed program involves formal coursework in cancer biology, genetics, and epidemiology tailored to the specific loci of this grant and the context of oncogenesis. I will apply my knowledge in molecular oncology through participation in the lab of my mentor, Joe Nevins, Ph.D., Director of the Center for Genome Technology in IGSP. Andrew Berchuck, M.D., gynecological oncologist in the Duke Comprehensive Cancer Center, will serve as my co-mentor and will direct my education in the clinical application of my knowledge within the context of ovarian cancer. My education in cancer epidemiology will progress through coursework and research in genetic epidemiology under the co-mentorship of Joellen Schildkraut, Ph.D., Director of the Epidemiology Division of the Program in Cancer Prevention, Detection, and Control and Associate Professor in the Department of Community and Family Medicine in the Duke Comprehensive Cancer Center. The goals of my research plan take advantage of recent developments in the use of genome-scale measures of gene expression and advanced computational tools to identify patterns of gene expression that are associated with or predict various characteristics and outcomes in ovarian cancers. My research is designed to aid in the identification of strategies for developing new therapeutic targets for the treatment of patients with advanced-stage epithelial ovarian cancer who do not respond to platinum/taxane-based adjuvant therapy and may or may not respond to salvage chemotherapy. I believe the importance of this work lies in the fact that chemosensitivity is the major determinant of outcome for advanced stage epithelial ovarian cancer, and the ability to predict outcomes such as chemo-responsiveness will be a powerful tool in disease treatment. A cooperative goal is to determine whether distinct subsets of ovarian cancer can be better defined by simultaneous consideration of etiologic and inherited risk factors and molecular features as expressed in gene expression data. This strategy represents a new approach in seeking to delineate the molecular epidemiology of ovarian cancer and may identify gene polymorphisms which influence relative risk of disease and clinical outcome. The potential results represent a useful tool in determining the most appropriate treatment protocol for each patient. The proposed development program has been designed to provide me with a background in cancer genomics and epidemiology which will enable me to focus the interdisciplinary nature of the CAGP environment on cancer genomic research collaborations between geneticists, breast and ovarian oncologists, statisticians, and epidemiologists.