Cancer Genetics, Epigenetics, and Genomics Program

癌症遗传学、表观遗传学和基因组学研究计划 摘要 癌症遗传学、表观遗传学和基因组学研究计划(CGEG)是一个跨学科的计划 它使用遗传、生化和基因组方法来了解癌症的易感性、病因学和 进展；识别诊断和预后生物标记物和治疗靶点；并致力于翻译 这些发现对临床和社区干预具有重要意义。CGEG项目的研究包括 三个特定的目标集中在描述正常和正常人群中独特的基因表达模式 癌细胞；调节基因组稳定性的通路的定义及其对环境的反应 正常细胞和癌细胞中的致癌物质；并鉴定突变和基因表达特征 白血病、肺癌和其他癌症在新墨西哥州人群中发病率和/或死亡率增加 这可以转化为临床和社区干预。该项目由史蒂文·别林斯基博士、 翻译表观基因组学应用于肺癌病因学的专家，玛丽·安·奥斯利博士和 在基因组调控中定义基本表观遗传机制方面的专家。该项目由27个项目组成 来自14个部门/学校/联盟合作伙伴的成员(22名正式成员和5名助理成员)的工作是 由6,736,043美元的年度直接成本资金支持，其中2,005,422美元来自NCI，6,252,544美元来自 自2014年9月1日起接受同行审查。该计划的发现已导致226种出版物的出版，其中 其中32%是方案内协作，31%是方案间协作，总计 合作出版水平为52%。

CANCER GENETICS, EPIGENETICS & GENOMICS RESEARCH PROGRAM ABSTRACT The Cancer Genetics, Epigenetics, and Genomics Research Program (CGEG) is a trans-disciplinary program that uses genetic, biochemical and genomic approaches to understand cancer susceptibility, etiology, and progression; identifies diagnostic and prognostic biomarkers and therapeutic targets; and works to translate these discoveries to clinical and community interventions. The research of the CGEG Program encompasses three specific aims centered on the characterization of unique patterns of gene expression in normal and cancer cells; the definition of the pathways that regulate genome stability and their response to environmental carcinogens in normal and cancer cells; and the identification of mutational and gene expression signatures in leukemia, lung cancer, and other cancers with increased incidence and/or mortality in New Mexico populations that can be translated to clinical and community interventions.The Program is co-led by Steven Belinsky, PhD, an expert in the application of translational epigenomics to lung cancer etiology, and Mary Ann Osley, PhD, an expert in the definition of basic epigenetic mechanisms in genome regulation. The program is comprised of 27 members (22 full and 5 associate) from 14 Departments/Schools/Consortium Partners whose work is supported by $6,736,043 in annual direct cost funding, of which $2,005,422 is from the NCI and $6,252,544 is peer-reviewed as of 9/1/2014. The discoveries made in this program have resulted in 226 publications, of which 32% are intra-programmatic collaborations and 31% are inter-programmatic collaborations, with a total collaborative publication level of 52%.