Breast cancer is the most common non-skin cancer among women in the United States, and continues to be an important cause of morbidity and mortality for women at high risk of developing the disease. The advent of preventive intervention and early detection of cancer brings greater hope to the control of breast cancer, while also posing significant challenges to researchers and public health policy makers. The primary objective of this proposal is to provide quantitative frameworks to describe the natural history of breast cancer; assess the impact of the secondary and primary preventive interventions on the natural progression of the disease; evaluate patterns of screening sensitivity by tumor size at detection; search for optimal screening intervals for women in different age groups and optimal screening strategies based on both medical benefit and adverse risk (or cost); and assess the cost and benefit trade-off for chemoprevention used in combination with early detection programs to control breast cancer. Data from randomized screening trials and randomized clinical trials of chemopreventive agents will be analyzed in proposed studies. Theoretic and simulation-based methods will be explored in developing models, estimations, and inference of the quantities that describe the impact of early detection programs and chemopreventive agents in the control of breast cancer. A comprehensive microsimulation model will be developed to evaluate the costs and benefits of various combinations of prevention and screening strategies in order to determine the best allocation of health care resources in the prevention and treatment of breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA079466-07
Application #
7032996
Study Section
Epidemiology of Cancer Study Section (EPIC)
Program Officer
Kagan, Jacob
Project Start
1999-08-01
Project End
2009-02-28
Budget Start
2006-03-01
Budget End
2007-02-28
Support Year
7
Fiscal Year
2006
Total Cost
$125,969
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Biostatistics & Other Math Sci
Type
Other Domestic Higher Education
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
Lin, Heather Y; Bedrosian, Isabelle; Babiera, Gildy V et al. (2017) Using the National Cancer Data Base for quality evaluation to assess adherence to treatment guidelines for nonmetastatic inflammatory breast cancer. Cancer 123:2618-2625
Liu, Hao; Shen, Yu; Ning, Jing et al. (2017) Sample size calculations for prevalent cohort designs. Stat Methods Med Res 26:280-291
Fujii, T; Kogawa, T; Dong, W et al. (2017) Revisiting the definition of estrogen receptor positivity in HER2-negative primary breast cancer. Ann Oncol 28:2420-2428
Shen, Yu; Ning, Jing; Qin, Jing (2017) Nonparametric and semiparametric regression estimation for length-biased survival data. Lifetime Data Anal 23:3-24
Shaitelman, Simona F; Lin, Heather Y; Smith, Benjamin D et al. (2016) Practical Implications of the Publication of Consensus Guidelines by the American Society for Radiation Oncology: Accelerated Partial Breast Irradiation and the National Cancer Data Base. Int J Radiat Oncol Biol Phys 94:338-48
Ning, J; Peng, S; Ueno, N et al. (2015) Has racial difference in cause-specific death improved in older patients with late-stage breast cancer? Ann Oncol 26:2161-8
Fouad, Tamer M; Kogawa, Takahiro; Liu, Diane D et al. (2015) Overall survival differences between patients with inflammatory and noninflammatory breast cancer presenting with distant metastasis at diagnosis. Breast Cancer Res Treat 152:407-16
Fujii, Takeo; Le Du, Fanny; Xiao, Lianchun et al. (2015) Effectiveness of an Adjuvant Chemotherapy Regimen for Early-Stage Breast Cancer: A Systematic Review and Network Meta-analysis. JAMA Oncol 1:1311-8
Ning, Jing; Qin, Jing; Shen, Yu (2014) Score Estimating Equations from Embedded Likelihood Functions under Accelerated Failure Time Model. J Am Stat Assoc 109:1625-1635
Middleton, Lavinia P; Sneige, Nour; Coyne, Robin et al. (2014) Most lobular carcinoma in situ and atypical lobular hyperplasia diagnosed on core needle biopsy can be managed clinically with radiologic follow-up in a multidisciplinary setting. Cancer Med 3:492-9

Showing the most recent 10 out of 43 publications