The Biostatistics and Biolnformatics Shared Resource (BBSR) provides biostatistical and bioinformatics leadership and support for research within the Cancer Center. The BBSR plays a critical role in the design and analysis of cancer related investigations, including clinical trials, epidemiological studies, and laboratory-based studies. The BBSR provides a full range of biostatistical services, including study design, sample size calculations, data analysis and interpretation, protocol reviews, and development of novel statistical methodologies. The BBSR also provides support for cancer researchers to store, access, and analyze large-scale genomic, proteomic, clinical, image-based, and systems biology datasets.The overall goals of the Resource are to provide: (1) biostatistical and bioinformatics support to Cancer Center researchers through service and collaborative activities; (2) training in the use of statistical software and biostatistical methods, through regular short courses and one-on-one sessions, and technical guidance and technology background to Cancer Center members and associated scientists seeking to use parallel supercomputing and database hardware and software in cancer-based biomedical research; (3) development of novel biostatistical and bioinformatic methods to enhance Cancer Center research projects; and (4) dissemination of capabilities, by continuing with the development of our website that identifies personnel and services provided to allow wider knowledge of the biostatistical and bioinformatics support available to Cancer Center investigators. Edward J. Bedrick, Ph.D. is Director of the Resource. Susan R. Atlas, Ph.D, and Christine Stidley, Ph.D. are Co-Directors of the Resource for bioinformatics and biostatistics, resectively. Dr. Bedrick has > 20 years experience in biostatistics. Dr. Atlas has > 20 years experience in scientific computing and bioinformatics. Dr. Stidley supports the large lung cancer research and SEER efforts. The Resource includes eight faculty and scientific staff, with a broad range of areas of expertise. Since 2005, Cancer Center members published more than 40 articles in collaboration with Resource faculty and staff. Resource members are co-investigators on 11 peer-reviewed extra-mural grants with Cancer Center members with several pending. More than 30 Cancer Center members representing all 4 Research Programs are making extensive use ofthe Resource.

Public Health Relevance

The Resource enhances the clinical trials and Research Programs of the Cancer Center by providing critical expertise in the design and analysis of cancer related studies. These research efforts would be not Just hampered, but often rendered meaningless, without appropriate biostatistical and bioinformatics support. The Resource also provides statistical support during the development of projects that will ultimately lead to both increased research funding to the Cancer Center and support for members of the Resource. Furthermore, the Bioinformatics technical staff members provide the mechanisms by which large-scale datasets and associated clinical covariate data generated by Cancer Center researchers are reliably managed, stored, annotated, archived, and disseminated. These activifies are critical to meeting the Specific Aims of Cancer Center research grants that are based on the generation and analysis of large-scale genomic datasets for large patient cohorts and emerging large-scale deep sequencing data.

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 New Mexico Health Sciences Center
United States
Zip Code
Steffen, Laurie E; Du, Ruofei; Gammon, Amanda et al. (2017) Genetic Testing in a Population-Based Sample of Breast and Ovarian Cancer Survivors from the REACH Randomized Trial: Cost Barriers and Moderators of Counseling Mode. Cancer Epidemiol Biomarkers Prev 26:1772-1780
Cleyrat, C├ędric; Girard, Romain; Choi, Eun H et al. (2017) Gene editing rescue of a novel MPL mutant associated with congenital amegakaryocytic thrombocytopenia. Blood Adv 1:1815-1826
Oruganti, S R; Torres, D J; Krebsbach, S et al. (2017) CARMA1 is a novel regulator of T-ALL disease and leukemic cell migration to the CNS. Leukemia 31:255-258
Belinsky, Steven A; Leng, Shuguang; Wu, Guodong et al. (2017) Gene Methylation Biomarkers in Sputum and Plasma as Predictors for Lung Cancer Recurrence. Cancer Prev Res (Phila) 10:635-640
Hill, Deirdre A; Barry, Marc; Wiggins, Charles et al. (2017) Estrogen receptor quantitative measures and breast cancer survival. Breast Cancer Res Treat 166:855-864
Meyer, Matthias R; Rosemann, Thomas; Barton, Matthias et al. (2017) GPER Mediates Functional Endothelial Aging in Renal Arteries. Pharmacology 100:188-193
Flores, Kristina G; Steffen, Laurie E; McLouth, Christopher J et al. (2017) Factors Associated with Interest in Gene-Panel Testing and Risk Communication Preferences in Women from BRCA1/2 Negative Families. J Genet Couns 26:480-490
Wang, Jing; Samuels, David C; Zhao, Shilin et al. (2017) Current Research on Non-Coding Ribonucleic Acid (RNA). Genes (Basel) 8:
Leng, Shuguang; Wu, Guodong; Klinge, Donna M et al. (2017) Gene methylation biomarkers in sputum as a classifier for lung cancer risk. Oncotarget 8:63978-63985
Kimura, Tomonori; Jia, Jingyue; Kumar, Suresh et al. (2017) Dedicated SNAREs and specialized TRIM cargo receptors mediate secretory autophagy. EMBO J 36:42-60

Showing the most recent 10 out of 272 publications