The Biostatistics and Bioinformatics Core (BBC), will facilitate translational research in prostate cancer, by providing UCLA investigators and their colleagues with state of the art biostatistical, bioinformatics and clinical trials support. The BBC provides a centralized network of biostatistics and bioinformatics support for prostate cancer researchers at UCLA and their collaborators. The overall goal of the Core is to provide statistical and bioinformatic support to basic and clinical investigators in the SPORE. The statistical consulting will be led by Dr. David Elashoff and supported by Dr. Gang Li and will include consultation on power analyses and experimental design for planning of preclinical and clinical studies. The core will collaborate on the development of statistical analysis plans and assist with carrying out those plans. The Bioinformatics component will be led by Dr. Thomas Graeber and supported by Dr. Paul Boutros. The Core provides analytical services for all genomics research, including RNA/whole exome/T-cell receptor sequencing and proteomic analysis within the SPORE. For these data types the core will assist with data preprocessing, pipeline development and cloud computing, quality control evaluation, and both standard and custom integrative and network analysis. The core will assist with the reporting of research findings in manuscripts. Finally, the Biostatistics and Bioinformatics Core provides yearly educational seminars and courses to all SPORE investigators.

Public Health Relevance

The Biostatistics and Bioinformatics core for the UCLA Prostate Cancer SPORE will ensure high quality research throughout the program by providing investigators with support in biostatistics and bioinformatics. This support will include the design of research projects, development of data analytic plans, carrying out statistical and bioinformatics analyses, and assisting with publication of scientific manuscripts based on the results of analyses.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA092131-16A1
Application #
9792323
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2019-09-01
Budget End
2020-08-31
Support Year
16
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Miller, Eric T; Salmasi, Amirali; Reiter, Robert E (2018) Anatomic and Molecular Imaging in Prostate Cancer. Cold Spring Harb Perspect Med 8:
Navarro, Héctor I; Goldstein, Andrew S (2018) HoxB13 mediates AR-V7 activity in prostate cancer. Proc Natl Acad Sci U S A 115:6528-6529
Mitra, Mithun; Ho, Linda D; Coller, Hilary A (2018) An In Vitro Model of Cellular Quiescence in Primary Human Dermal Fibroblasts. Methods Mol Biol 1686:27-47
Li, Jiayun; Speier, William; Ho, King Chung et al. (2018) An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. Comput Med Imaging Graph 69:125-133
Kang, Jung J; Reiter, Robert E; Kummer, Nicolas et al. (2018) Wrong to be Right: Margin Laterality is an Independent Predictor of Biochemical Failure After Radical Prostatectomy. Am J Clin Oncol 41:1-5
Lee, Ha Neul; Mitra, Mithun; Bosompra, Oye et al. (2018) RECK isoforms have opposing effects on cell migration. Mol Biol Cell 29:1825-1838
Aggarwal, Rahul; Huang, Jiaoti; Alumkal, Joshi J et al. (2018) Clinical and Genomic Characterization of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer: A Multi-institutional Prospective Study. J Clin Oncol 36:2492-2503
Cheng, Larry C; Li, Zhen; Graeber, Thomas G et al. (2018) Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer. J Vis Exp :
Park, Jung Wook; Lee, John K; Sheu, Katherine M et al. (2018) Reprogramming normal human epithelial tissues to a common, lethal neuroendocrine cancer lineage. Science 362:91-95
Tan, Nelly; Shen, Luyao; Khoshnoodi, Pooria et al. (2018) Pathological and 3 Tesla Volumetric Magnetic Resonance Imaging Predictors of Biochemical Recurrence after Robotic Assisted Radical Prostatectomy: Correlation with Whole Mount Histopathology. J Urol 199:1218-1223

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