Cancer Genetics, Epigenetics, and Genomics Program

癌症遗传学、表观遗传学和基因组学研究 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 它使用遗传学、生物化学和基因组方法来了解癌症易感性、病因学， 进展;确定诊断和预后生物标志物和治疗靶点;并致力于翻译 将这些发现用于临床和社区干预。CGEG计划的研究包括 三个具体的目标集中在表征基因表达的独特模式，在正常和 癌细胞;调节基因组稳定性的途径的定义及其对环境的反应 正常细胞和癌细胞中的致癌物;以及鉴定正常细胞和癌细胞中的突变和基因表达特征。 新墨西哥州人群中发病率和/或死亡率增加的白血病、肺癌和其他癌症 该计划由Steven Belinsky博士共同领导， 翻译表观基因组学在肺癌病因学中的应用专家，以及玛丽安奥斯利博士， 在基因组调控的基本表观遗传机制的定义专家。该计划由27个 来自14个部门/学校/联盟伙伴的成员（22名正式成员和5名准成员），他们的工作是 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 截至2014年9月1日的同行评审。该计划中的发现已发表226篇， 其中32%是项目内合作，31%是项目间合作， 合作出版率为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%.