- Core A The purpose of the Biostatistics and Bioinformatics Core is to provide a comprehensive, multi-disciplinary resource of expertise in biostatistics and bioinformatics. Members of Core A will collaborate closely with investigators from each project in translating their hypotheses into testable statistical hypotheses and address the corresponding aims at all levels of investigation. This consists of designing basic and animal experiments, managing and maintaining the resulting data, data analysis and statistical and bioinformatics inference, and formulating new hypotheses based on discoveries arising from exploration and visualization of the integrated data. Core A serves as a focal point from which investigators may draw statistical and bioinformatics expertise for planning, management and analysis of their studies. It also develops, tests and implements various techniques of statistical analysis, including mathematical modeling, applicable to cancer research. Types of research supported include basic science and translational studies. The large volume of information to be generated in the proposed research projects and cores requires computer-based tools for the coordination of efforts and the management of data. The primary role of Core A will be to provide state-of-art biostatistics and bioinformatics methods and software pipelines for efficient data analysis and establish a centralized relational database system and data management structure that facilitates the entry, storage and retrieval of all data generated by the program project, and permits the controlled exchange of information across the several projects and cores. De-identified information will be available to all investigators associated with this program project. Due to the sensitive nature of the information stored by this Core, we will take extensive precautions to protect the confidentiality of participants. All IRB and HIPAA regulations will be strictly enforced. By providing data access to investigators, sharing technical capabilities, and ensuring the quality of the data, the data management component of this core will facilitate achievement of the project aims and encourage exploratory analyses beyond those stated.

Public Health Relevance

- Core A The Biostatistics and Bioinformatics Core serves as a comprehensive, multi-disciplinary resource of expertise in biostatistics and bioinformatics to assist investigators from all projects to design their experiments, manage and maintain the large volume of data, make inferences regarding the stated aims, and formulate new hypotheses based on discoveries arising from exploration and visualization of the integrated data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA098912-11
Application #
8794372
Study Section
Special Emphasis Panel (ZCA1-RPRB-B (O1))
Project Start
2002-12-01
Project End
2020-02-29
Budget Start
2015-03-03
Budget End
2016-02-29
Support Year
11
Fiscal Year
2015
Total Cost
$156,238
Indirect Cost
$64,383
Name
Cedars-Sinai Medical Center
Department
Type
DUNS #
075307785
City
Los Angeles
State
CA
Country
United States
Zip Code
90048
Rohena-Rivera, Krizia; Bhowmick, Neil A (2018) Notch inhibitor screening reveals an unexpected HES1 heterodimer. J Biol Chem 293:8295-8296
Tighiouart, Mourad; Cook-Wiens, Galen; Rogatko, André (2018) A Bayesian adaptive design for cancer phase I trials using a flexible range of doses. J Biopharm Stat 28:562-574
Madhav, Anisha; Andres, Allen; Duong, Frank et al. (2018) Antagonizing CD105 enhances radiation sensitivity in prostate cancer. Oncogene 37:4385-4397
Jan, Yu Jen; Chen, Jie-Fu; Zhu, Yazhen et al. (2018) NanoVelcro rare-cell assays for detection and characterization of circulating tumor cells. Adv Drug Deliv Rev 125:78-93
Grindel, Brian J; Martinez, Jerahme R; Tellman, Tristen V et al. (2018) Matrilysin/MMP-7 Cleavage of Perlecan/HSPG2 Complexed with Semaphorin 3A Supports FAK-Mediated Stromal Invasion by Prostate Cancer Cells. Sci Rep 8:7262
Jimenez, Jose L; Tighiouart, Mourad; Gasparini, Mauro (2018) Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents. Biom J :
Martinez, Jerahme R; Grindel, Brian J; Hubka, Kelsea M et al. (2018) Perlecan/HSPG2: Signaling role of domain IV in chondrocyte clustering with implications for Schwartz-Jampel Syndrome. J Cell Biochem :
Liu, Zhenqiu; Sun, Fengzhu; McGovern, Dermot P (2017) Sparse generalized linear model with L0 approximation for feature selection and prediction with big omics data. BioData Min 10:39
Miller, Eric T; Chamie, Karim; Kwan, Lorna et al. (2017) Impact of treatment on progression to castration-resistance, metastases, and death in men with localized high-grade prostate cancer. Cancer Med 6:163-172
Conley, Andrew; Minciacchi, Valentina R; Lee, Dhong Hyun et al. (2017) High-throughput sequencing of two populations of extracellular vesicles provides an mRNA signature that can be detected in the circulation of breast cancer patients. RNA Biol 14:305-316

Showing the most recent 10 out of 215 publications