The Biostatistics Core is a shared resource organized to meet the statistical needs of the USC Norris Comprehensive Cancer Center (NCCC) investigators. Statisticians in the Biostatistics Core collaborate with investigators in all the Cancer Center Programs - Molecular Genetics, Tumor Microenvironment, Epigenetics and Regulation, Developmental Therapeutics, Cancer Epidemiology, Cancer Control Research, Genitourinary Cancers, Gastrointestinal Cancers, Women's Cancers, and Leukemia and Lymphoma. The specific objectives of the Biostatistics Core are: 1. To provide statistical support to investigators at the NCCC in the design, planning, conduct, analysis, and reporting of cancer research studies 2. To ensure, in collaboration with members of the Clinical Investigations Support Office (CISO), the Cancer Research Informatics Core (CRIC), that clinical trials approved by the Clinical Investigations Committee (CIC) are properly executed and provide high quality clinical and translational research data, and ensure, in collaboration with the Translational Pathology Core (TPC) and CRIC, that disease-based databases and associated tumor banks, which serve as a resource for translational research, are supported and maintained 3. To adapt and incorporate, or develop, innovations in statistical and clinical trials methodology into the design and analysis of cancer research studies. Members of the Biostatistics Core participate in conceptualization and development of Cancer Center research projects, analyses for publications, development or adaptation of statistical methods, oversight and coordination activities, and other unanticipated needs of the Cancer Center. Core competencies include experimental design and data analysis, database design and utilization, and bioinformatics and analysis of high-throughput data. In the current application we are requesting partial funding for five Ph.D. statisticians, three M.S. level statisticians, and one Ph.D. level bioinformatician.

Public Health Relevance

The use of modern statistical methods, analytic techniques, data processing and database design is an essential requirement of successful cancer clinical and translational research. The Biostatistics Core of the NCCC plays the central role in assuring that this requirement is fulfilled in research conducted by members of the Cancer Center.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Southern California
Los Angeles
United States
Zip Code
Zeng, Chenjie; Matsuda, Koichi; Jia, Wei-Hua et al. (2016) Identification of Susceptibility Loci and Genes for Colorectal Cancer Risk. Gastroenterology 150:1633-45
Gopalakrishnan, R; Matta, H; Tolani, B et al. (2016) Immunomodulatory drugs target IKZF1-IRF4-MYC axis in primary effusion lymphoma in a cereblon-dependent manner and display synergistic cytotoxicity with BRD4 inhibitors. Oncogene 35:1797-810
Cuellar-Partida, Gabriel; Lu, Yi; Dixon, Suzanne C et al. (2016) Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet 135:741-56
Fanini, Francesca; Fabbri, Muller (2016) Cancer-derived exosomic microRNAs shape the immune system within the tumor microenvironment: State of the art. Semin Cell Dev Biol :
Taylor, Nicholas J; Thomas, Nancy E; Anton-Culver, Hoda et al. (2016) Nevus count associations with pigmentary phenotype, histopathological melanoma characteristics and survival from melanoma. Int J Cancer 139:1217-22
Liu, Jie; Siegmund, Kimberly D (2016) An evaluation of processing methods for HumanMethylation450 BeadChip data. BMC Genomics 17:469
Pannunzio, Nicholas R; Lieber, Michael R (2016) RNA Polymerase Collision versus DNA Structural Distortion: Twists and Turns Can Cause Break Failure. Mol Cell 62:327-34
Pulido, Mario A; DerHartunian, Meleeneh Kazarian; Sehgal, Prerna et al. (2016) Data on isoaspartylation of neuronal ELAVL proteins. Data Brief 9:1052-1055
Van Roosbroeck, Katrien; Fanini, Francesca; Setoyama, Tetsuro et al. (2016) Combining anti-miR-155 with chemotherapy for the treatment of lung cancers. Clin Cancer Res :
(2016) Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus. Breast Cancer Res 18:64

Showing the most recent 10 out of 635 publications