Vermont PROSPR Research Center (VPRC): Breast cancer screening has led to substantial reductions in breast cancer mortality in the United States over the past 30 years, but not without unintended harms and shortcomings. Comprehensive, population-based, longitudinal data on the entire screening process can evaluate current screening practices and recommend improvements. The Vermont Prosper Research Center (VPRC) proposes to continue and extend the work of the Vermont Breast Cancer Surveillance System (VBCSS), which has 16 years of experience in collecting integrated patient risk factor, breast imaging, pathology, treatment, cancer outcome and vital status data.
Our first aim i s to document the entire breast cancer screening process in community practice across the state of Vermont. The new data collected will add to our 16 years of longitudinal data, which provide the foundation for our proposed research program, data sharing with the Statistical Coordination Center, and collaborations with other PROSPR sites. Second, we will pursue a research program that improves the screening process by developing prognostic markers that can be used to develop personalized management strategies for ductal carcinoma in situ (DCIS). Using longitudinal data on approximately 1400 DClS cases from the VBCSS, we will seek to identify novel molecular, morphologic, radiologic, and tumor microenvironment markers that can stratify DClS patients by risk of progression to invasive disease. Our comparative effectiveness analyses will provide a framework by which new DClS prognostic markers can be evaluated for their potential impacts on the benefits and harms of screening. Third, we will conduct collaborative research with other PROSPR Research Centers, the PROSPR Statistical Coordination Center, the National Cancer Institute, and the larger research community. Our multidisciplinary team of experienced basic, clinical, and population scientists will lead and participate in trans-Network initiatives and ensure the dissemination of our data and study findings. Accomplishment of these aims will provide a rich source of data for use in evaluating and improving current breast cancer screening processes. Success in our research program will fill an urgent need for identification of DClS prognostic markers that could enable personalized management strategies.

Public Health Relevance

Breast cancer screening detects many early stage breast cancers (ductal carcinoma in situ or 'DCIS') that are unlikely to threaten a woman's life. However, aggressive treatment is recommended for all women with DClS because we cannot currently identify which of these DClS cases are potentially life threatening. Our research is focused on finding ways to know which DClS cases are unlikely to progress to invasive cancer so that these women do not have to suffer needlessly from the side effects of aggressive treatment. Breast cancer screening detects many early stage breast cancers (ductal carcinoma in situ or 'DCIS') that are unlikely to threaten a woman's life. However, aggressive treatment is recommended for all women with DCIS because we cannot currently identify which of these DCIS cases are potentially life threatening. Our research is focused on finding ways to know which DCIS cases are unlikely to progress to invasive cancer so that these women do not have to suffer needlessly from the side effects of aggressive treatment.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
3U54CA163303-05S2
Application #
9320620
Study Section
Special Emphasis Panel (ZCA1-SRLB-R (O1)R)
Program Officer
Parker, Tonya
Project Start
2011-09-23
Project End
2017-05-31
Budget Start
2015-06-01
Budget End
2017-05-31
Support Year
5
Fiscal Year
2016
Total Cost
$60,149
Indirect Cost
Name
University of Vermont & St Agric College
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
066811191
City
Burlington
State
VT
Country
United States
Zip Code
05405
Braithwaite, Dejana; Miglioretti, Diana L; Zhu, Weiwei et al. (2018) Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort. JAMA Intern Med 178:494-501
Rutter, Carolyn M; Kim, Jane J; Meester, Reinier G S et al. (2018) Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study. Cancer Epidemiol Biomarkers Prev 27:158-164
Munoz, Diego F; Plevritis, Sylvia K (2018) Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment. Med Decis Making 38:32S-43S
Buist, Diana S M; Abraham, Linn; Lee, Christoph I et al. (2018) Breast Biopsy Intensity and Findings Following Breast Cancer Screening in Women With and Without a Personal History of Breast Cancer. JAMA Intern Med 178:458-468
Sprague, Brian L; Vacek, Pamela M; Herschorn, Sally D et al. (2018) Time-varying risks of second events following a DCIS diagnosis in the population-based Vermont DCIS cohort. Breast Cancer Res Treat :
Plevritis, Sylvia K; Munoz, Diego; Kurian, Allison W et al. (2018) Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012. JAMA 319:154-164
Trentham-Dietz, Amy; Ergun, Mehmet Ali; Alagoz, Oguzhan et al. (2018) Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening. Breast Cancer Res Treat 168:229-239
Conklin, Matthew W; Gangnon, Ronald E; Sprague, Brian L et al. (2018) Collagen Alignment as a Predictor of Recurrence after Ductal Carcinoma In Situ. Cancer Epidemiol Biomarkers Prev 27:138-145
Lee, Janie M; Abraham, Linn; Lam, Diana L et al. (2018) Cumulative Risk Distribution for Interval Invasive Second Breast Cancers After Negative Surveillance Mammography. J Clin Oncol 36:2070-2077
van den Broek, Jeroen J; van Ravesteyn, Nicolien T; Mandelblatt, Jeanne S et al. (2018) Comparing CISNET Breast Cancer Models Using the Maximum Clinical Incidence Reduction Methodology. Med Decis Making 38:112S-125S

Showing the most recent 10 out of 99 publications