The American Cancer Society estimates that in 2004 there were more than 350,000 new cases of breast or colorectal cancers and almost 100,000 deaths related to these cancers. This is a substantial public health problem that remains the focus the National Surgical Adjuvant Breast and Bowel Project (NSABP). For more than 40 years, the NSABP has successfully conducted large-scale, randomized clinical trials in breast and colorectal cancer designed to improve the standard of care, quality of life and survival of persons who develop these diseases. This research proposal requests funding to enable the continued functioning of the Biostatistical Center of the NSABP which provides: 1) data management support for the collection and processing of data from NSABP trials;2) quality assurance programs which ensure that the collected data is of the highest integrity;3) scientific collaboration in the development of the NSABP research agenda and logistical support for the conduct of the research;and 4) statistical leadership and support for the design, monitoring and analysis of trials and correlative studies. In 2002-2003, the NSABP accounted for 64% of the breast cancer patients and 78% of the colorectal cancer patients who entered the NCI Phase III trials that were available for these patients. Other significant accomplishments made in support of the NSABP scientific agenda during the full course of the prior funding period include: 1) opening of accrual for nine new protocols with 21,000 newly-enrolled patients;2) data collection and management for 43,000 patients;3) conducting over 380 site visit audits involving the review of over 5,200 patients charts;4) implementation of web-based data collection procedures;5) initiation of an ongoing effort to analyze microarray data to assess prognostic and predictive gene profiles;and 6) the publication of almost 200 manuscripts, 36 of which deal with methodology. In the proposed project period, funding will be used to sustain our efforts as a data and statistical center in support of the NSABP scientific agenda and to enhance the utilization of newer technologies for data collection, data management and the communication and training of clinical site collaborators with the goal of developing more efficient methodologies to design, conduct and analyze clinical trials.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Cooperative Clinical Research--Cooperative Agreements (U10)
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Study Section
Subcommittee G - Education (NCI)
Program Officer
Mooney, Margaret M
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University of Pittsburgh
Biostatistics & Other Math Sci
Schools of Public Health
United States
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Saha, Poornima; Regan, Meredith M; Pagani, Olivia et al. (2017) Treatment Efficacy, Adherence, and Quality of Life Among Women Younger Than 35 Years in the International Breast Cancer Study Group TEXT and SOFT Adjuvant Endocrine Therapy Trials. J Clin Oncol 35:3113-3122
Ternès, Nils; Rotolo, Federico; Michiels, Stefan (2017) Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trials. BMC Med Res Methodol 17:83
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Phillips, Kelly-Anne; Regan, Meredith M; Ribi, Karin et al. (2016) Adjuvant ovarian function suppression and cognitive function in women with breast cancer. Br J Cancer 114:956-64
Ha, Il Do; Christian, Nicholas J; Jeong, Jong-Hyeon et al. (2016) Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties. Stat Methods Med Res 25:2488-2505
Ribi, Karin; Bernhard, Jürg; Luo, Weixiu et al. (2016) Reply to F. Tomao et al. J Clin Oncol 34:4189-4190
Christian, Nicholas J; Ha, Il Do; Jeong, Jong-Hyeon (2016) Hierarchical likelihood inference on clustered competing risks data. Stat Med 35:251-67
Regan, Meredith M; Francis, Prudence A; Pagani, Olivia et al. (2016) Absolute Benefit of Adjuvant Endocrine Therapies for Premenopausal Women With Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early Breast Cancer: TEXT and SOFT Trials. J Clin Oncol 34:2221-31
Johansson, Harriet; Gray, Kathryn P; Pagani, Olivia et al. (2016) Impact of CYP19A1 and ESR1 variants on early-onset side effects during combined endocrine therapy in the TEXT trial. Breast Cancer Res 18:110
Wolmark, Norman; Mamounas, Eleftherios P; Baehner, Frederick L et al. (2016) Prognostic Impact of the Combination of Recurrence Score and Quantitative Estrogen Receptor Expression (ESR1) on Predicting Late Distant Recurrence Risk in Estrogen Receptor-Positive Breast Cancer After 5 Years of Tamoxifen: Results From NRG Oncology/Nati J Clin Oncol 34:2350-8

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