(Applicant's narrative) This application requests funding which will enable us to continue to serve as the Biostatistical Center for the National Surgical Breast and Bowel Project (NSABP) CCOP. We intend to accomplish the following objectives: Collaborate with clinical colleagues at the Operations Center in all phases of the clinical trial process, including concept development, protocol design, implementation, data management, study monitoring, analysis of data, and publication of results. Ensure that the study design specified in each protocol is consistent with the protocol's stated objectives, that the specified accrual is sufficient to test the primary hypotheses, that protocol requirements, endpoints and procedures are clearly stated, and that the analysis of results is timely and appropriate. Participate in the design, implementation, management and analysis of ancillary studies nested within NSABP treatment and cancer control trials to address relevant biological and clinical research questions. Provide data management support as needed to centralized laboratories involved in ancillary studies. Assume responsibility for all aspects of data quality assurance, including (i) the on-site audit program; (ii) monthly institutional performance reports of accrual and data delinquency status; (iii) patient safety and treatment monitoring, including medical review; (iv) internal data quality review; and (v) internal and external continuing education. Carry out all aspects of data monitoring and interim reporting, encompassing (i) planned interim analyses of primary endpoints, as specified per protocol; (ii) routine reports of accrual, eligibility and toxicity; (iii) group regulatory compliance, including adverse events reporting; (iv) ongoing monitoring of second primary cancers, and (v) preparation of an annual Progress Report for the membership and study sponsors. Coauthor presentations, abstracts and manuscripts based on protocol results, or other group data as appropriate, ensuring that the conclusions of such publications are based on correct and clearly stated statistical methodology. Provide support for educational programs for CCOP staff. Provide data required by NSABP for the evaluation of CCOP performance and for the fulfillment of regulatory commitments.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
3U10CA069974-06S2
Application #
6345323
Study Section
Special Emphasis Panel (SRC (15))
Program Officer
Mccaskill-Stevens, Worta J
Project Start
1995-09-01
Project End
2001-05-31
Budget Start
2000-06-01
Budget End
2001-05-31
Support Year
6
Fiscal Year
2000
Total Cost
$29,669
Indirect Cost
Name
University of Pittsburgh
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
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
Regan, M M; Walley, B A; Francis, P A et al. (2017) Concurrent and sequential initiation of ovarian function suppression with chemotherapy in premenopausal women with endocrine-responsive early breast cancer: an exploratory analysis of TEXT and SOFT. Ann Oncol 28:2225-2232
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
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
Land, Stephanie R; Walcott, Farzana L; Liu, Qing et al. (2016) Symptoms and QOL as Predictors of Chemoprevention Adherence in NRG Oncology/NSABP Trial P-1. J Natl Cancer Inst 108:
Christian, Nicholas J; Ha, Il Do; Jeong, Jong-Hyeon (2016) Hierarchical likelihood inference on clustered competing risks data. Stat Med 35:251-67
Ribi, Karin; Luo, Weixiu; Bernhard, Jürg et al. (2016) Adjuvant Tamoxifen Plus Ovarian Function Suppression Versus Tamoxifen Alone in Premenopausal Women With Early Breast Cancer: Patient-Reported Outcomes in the Suppression of Ovarian Function Trial. J Clin Oncol 34:1601-10
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
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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