The Biostatistics and Array Analysis Core is responsible for providing (1) coordinated, centralized database management support to Projects and Cores, and (2) comprehensive biostatistical consultation, data analysis, and reporting. A well functioning core will be absolutely critical to the success of the Program Project as all five projects in this proposal have substantial needs for biostatistical support and this support is not available elsewhere. Centralizing biostatistical support within the Core will ensure that the biostatisticians will be completely familiar with all aspects of the projects. The Program Project will also benefit greatly from having a dedicated and experienced team of analysts devoted to analysis of microarray experiments. For all types of research data (human, mouse, microarray, etc.), the Core will execute planned analyses in an orderly and timely way. Core personnel can also help the investigators design new studies and test new hypotheses that may arise by cross-fertilization of these related projects. Finally, centralized database management will be very important to projects proposing microarray experiments (Projects 1 and 4), and to both Core A (Pathology and Tissue Resource) and Core C (Animal Handling and Imaging).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA030195-22A1
Application #
6989347
Study Section
Subcommittee G - Education (NCI)
Project Start
2004-04-01
Project End
2009-03-31
Budget Start
2004-04-01
Budget End
2005-03-31
Support Year
22
Fiscal Year
2004
Total Cost
$157,846
Indirect Cost
Name
Baylor College of Medicine
Department
Type
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
Park, Jun Hyoung; Vithayathil, Sajna; Kumar, Santosh et al. (2016) Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer. Cell Rep 14:2154-2165
Pathiraja, Thushangi N; Nayak, Shweta R; Xi, Yuanxin et al. (2014) Epigenetic reprogramming of HOXC10 in endocrine-resistant breast cancer. Sci Transl Med 6:229ra41
Zhang, Yi; Tseng, Chun-Chih; Tsai, Yuan-Li et al. (2013) Cancer cells resistant to therapy promote cell surface relocalization of GRP78 which complexes with PI3K and enhances PI(3,4,5)P3 production. PLoS One 8:e80071
Machado, Heather L; Kittrell, Frances S; Edwards, David et al. (2013) Separation by cell size enriches for mammary stem cell repopulation activity. Stem Cells Transl Med 2:199-203
Zhang, Xiaomei; Claerhout, Sofie; Prat, Aleix et al. (2013) A renewable tissue resource of phenotypically stable, biologically and ethnically diverse, patient-derived human breast cancer xenograft models. Cancer Res 73:4885-97
Boone, David N; Lee, Adrian V (2012) Targeting the insulin-like growth factor receptor: developing biomarkers from gene expression profiling. Crit Rev Oncog 17:161-73
Casa, Angelo J; Potter, Adam S; Malik, Simeen et al. (2012) Estrogen and insulin-like growth factor-I (IGF-I) independently down-regulate critical repressors of breast cancer growth. Breast Cancer Res Treat 132:61-73
Creighton, Chad J (2012) Molecular classification and drug response prediction in cancer. Curr Drug Targets 13:1488-94
Pathiraja, Thushangi N; Shetty, Priya B; Jelinek, Jaroslav et al. (2011) Progesterone receptor isoform-specific promoter methylation: association of PRA promoter methylation with worse outcome in breast cancer patients. Clin Cancer Res 17:4177-86
Heckman-Stoddard, B M; Vargo-Gogola, T; Herrick, M P et al. (2011) P190A RhoGAP is required for mammary gland development. Dev Biol 360:1-10

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