Formally established in mid-2010 to address the growing demand for in-depth bioinformatics support from CCSG investigators of Roswell Park Cancer Institute, the Bioinformatics Shared Resource is a new full Shared Resource. A key mission of the Resource is to provide state-of-art bioinformatics assistance for the design, analysis, and interpretation of genomics, proteomics, and other high-resolution, high-throughput based studies for better understanding of cancer biology, thereby facilitating translation of cancer omics discoveries to cancer treatment. Services include: directing the design of high-throughput experiments, raw omics data processing, data analysis and interpretation, data mining and integration, assistance in the design and deployment of appropriate informatics infrastructure for data sharing and management, reviewing and preparing grants and manuscripts, software evaluation, new method and database development, and education and training. The bioinformatics expertise provided by the resource personnel ensures that the yield of useful information from the scientific studies conducted at RPCI is maximized while costs are minimized. The Resource leaders are Song Liu, PhD (GN), Resource Director and Vice Chair of RPCI's Department of Biostatistics and Bioinformatics, and Jianmin Wang, PhD (GN), Resource Co-Director. The Bioinformatics Resource and the Biostatistics Resource coordinate service and support activities through regular planning meetings, ensuring the CCSG investigators have full analytic coverage from clinical and preclinical biostatistics to statistical genetics and to bioinformatics, while receiving focused support on each discipline. In addition, the Resource has developed a synergistic working relationship with the Genomics, Clinical Data Network, Pathology Resource Network, and Data Bank and BioRepository Shared Resources and the Information Technology department to ensure coordination of experiment and analytics through the different phases of a cancer research project. Potential collaborators learn about the Resource via referrals by CCSG members, formal seminars given by Resource personnel, CCSG Program meetings, the Scientific Review Committee, the RPCI website, and general announcements to the Institute's scientific community. Prioritization for use is given to 1) peer-reviewed funded RPCI CCSG members;2) non-peer-reviewed funded CCSG members;3) non-members and academic collaborators;and 4) external users. During the reporting period, the Bioinformatics Shared Resource served 113 members from 6 research programs, with 37% utilization by CCSG members with peer-reviewed funding. CCSG funding comprises 5% of the overall proposed budget

Public Health Relevance

There is a huge demand for bioinformatics expertise in modern cancer research and treatment. The Bioinformatics Shared Resource ensures that CCSG investigators have ready access to expert bioinformatics support and service to carry out basic science, translational, clinical, and population-oriented research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA016056-37
Application #
8738367
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-06-16
Project End
2019-04-30
Budget Start
2014-06-26
Budget End
2015-04-30
Support Year
37
Fiscal Year
2014
Total Cost
$71,618
Indirect Cost
$28,328
Name
Roswell Park Cancer Institute Corp
Department
Type
DUNS #
824771034
City
Buffalo
State
NY
Country
United States
Zip Code
14263
Wintrob, Zachary A P; Hammel, Jeffrey P; Nimako, George K et al. (2017) Insulin use, hormone receptor status and hematopoietic cytokines? circulation in women with diabetes mellitus and breast cancer. Data Brief 11:382-390
Murphy, Maureen E; Liu, Song; Yao, Song et al. (2017) A functionally significant SNP in TP53 and breast cancer risk in African-American women. NPJ Breast Cancer 3:5
Liu, Song; Kumari, Sangeeta; Hu, Qiang et al. (2017) A comprehensive analysis of coregulator recruitment, androgen receptor function and gene expression in prostate cancer. Elife 6:
Espinal, Allyson C; Buas, Matthew F; Wang, Dan et al. (2017) FOXA1 hypermethylation: link between parity and ER-negative breast cancer in African American women? Breast Cancer Res Treat 166:559-568
Danaher, Patrick; Warren, Sarah; Dennis, Lucas et al. (2017) Gene expression markers of Tumor Infiltrating Leukocytes. J Immunother Cancer 5:18
Oakley, Emily; Bellnier, David A; Hutson, Alan et al. (2017) Surface markers for guiding cylindrical diffuser fiber insertion in interstitial photodynamic therapy of head and neck cancer. Lasers Surg Med 49:599-608
Gage-Bouchard, Elizabeth A (2017) Social support, flexible resources, and health care navigation. Soc Sci Med 190:111-118
Moore, Kathleen N; Tritchler, David; Kaufman, Kenneth M et al. (2017) Genome-wide association study evaluating single-nucleotide polymorphisms and outcomes in patients with advanced stage serous ovarian or primary peritoneal cancer: An NRG Oncology/Gynecologic Oncology Group study. Gynecol Oncol 147:396-401
Szender, J Brian; Papanicolau-Sengos, Antonios; Eng, Kevin H et al. (2017) NY-ESO-1 expression predicts an aggressive phenotype of ovarian cancer. Gynecol Oncol 145:420-425
Ho, Christine M; McCarthy, Philip L; Wallace, Paul K et al. (2017) Immune signatures associated with improved progression-free and overall survival for myeloma patients treated with AHSCT. Blood Adv 1:1056-1066

Showing the most recent 10 out of 1391 publications