Every year, over 50,000 women in the United States are diagnosed with the non-lethal form of breast cancer known as ductal carcinoma in situ (DCIS). When a diagnosis of DCIS is confirmed on biopsy, most women are treated with partial mastectomy and breast irradiation or elect total mastectomy as a means to avoid radiation therapy. Newer approaches to treatment for DCIS have suggested that surgical excision and observation, with or without endocrine therapy, may be an alternative for small volume, low grade DCIS. However, as a general rule, the underlying biology of DCIS is just beginning to be considered in the context of treating DCIS. A substantial body of basic science regarding the underlying molecular alterations present in DCIS suggests there are two major pathways of progression constituting an indolent and aggressive form of DCIS. The goal of this proposal Is to translate the research data on the numerous molecular genetic abnormalities present In DCIS into a pathology classification algorithm based on a restricted set of molecular, immunohistochemical, or morphologic features that will reliably Identify low grade and high grade progression pathways in DCIS. This would promote conservative treatment strategies for a subset of women with favorable prognosis DCIS and reduce the potential unfavorable consequences of over treating indolent breast disease.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA163303-04
Application #
8715709
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2014-06-01
Project End
2016-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
4
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Vermont & St Agric College
Department
Type
DUNS #
City
Burlington
State
VT
Country
United States
Zip Code
Onega, Tracy; Lee, Christoph I; Benkeser, David et al. (2016) Travel Burden to Breast MRI and Utilization: Are Risk and Sociodemographics Related? J Am Coll Radiol 13:611-9
Carney, Patricia A; Allison, Kimberly H; Oster, Natalia V et al. (2016) Identifying and processing the gap between perceived and actual agreement in breast pathology interpretation. Mod Pathol 29:717-26
Corley, Douglas A; Haas, Jennifer S; Kobrin, Sarah (2016) Reducing Variation in the ""Standard of Care"" for Cancer Screening: Recommendations From the PROSPR Consortium. JAMA 315:2067-8
Hubbard, Rebecca A; Ripping, Theodora M; Chubak, Jessica et al. (2016) Statistical Methods for Estimating the Cumulative Risk of Screening Mammography Outcomes. Cancer Epidemiol Biomarkers Prev 25:513-20
Mandelblatt, Jeanne S; Stout, Natasha K; Schechter, Clyde B et al. (2016) Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies. Ann Intern Med 164:215-25
Schapira, Marilyn M; Sprague, Brian L; Klabunde, Carrie N et al. (2016) Inadequate Systems to Support Breast and Cervical Cancer Screening in Primary Care Practice. J Gen Intern Med 31:1148-55
Sprague, Brian L; Conant, Emily F; Onega, Tracy et al. (2016) Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study. Ann Intern Med 165:457-464
Hubbard, Rebecca A; O'Meara, Ellen S; Henderson, Louise M et al. (2016) Multilevel factors associated with long-term adherence to screening mammography in older women in the U.S. Prev Med 89:169-77
Klabunde, Carrie N; Zheng, Yingye; Quinn, Virginia P et al. (2016) Influence of Age and Comorbidity on Colorectal Cancer Screening in the Elderly. Am J Prev Med 51:e67-75
Valeri, Linda; Chen, Jarvis T; Garcia-Albeniz, Xabier et al. (2016) The Role of Stage at Diagnosis in Colorectal Cancer Black-White Survival Disparities: A Counterfactual Causal Inference Approach. Cancer Epidemiol Biomarkers Prev 25:83-9

Showing the most recent 10 out of 55 publications