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MODELING BREAST CARCINOMA IN SITU: IMPLICATIONS FOR PREVENTION AND CONTROL

Award Number: F32CA125984
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 11/16/2006
PERIOD OF PERFORMANCE END DATE: 11/15/2009

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MODELING BREAST CARCINOMA IN SITU: IMPLICATIONS FOR PREVENTION AND CONTROL - DESCRIPTION (provided by applicant): The incidence of early stage breast cancer including in situ disease has increased rapidly over the past decade primarily due to increasing use of screening mammography. Concern exists regarding the potential for over-diagnosis of early stage breast cancer. Our understanding of the natural history and progression of in situ disease to invasive breast cancer is incomplete. Few population-based models exist to explore hypotheses about the natural history of in situ disease. This research proposes a series of analyses designed to further our understanding in this regard and to inform decision making about prevention and screening strategies to control breast cancer. Our first aim is to extend an existing U.S. population-based discrete-event simulation model of breast cancer to account for more detailed information about in situ disease. We will evaluate the consistency of hypotheses about the natural history and progression of breast carcinoma in situ with observed data. This model will then be used to examine health trade-offs at both an individual and population level associated with different prevention and control strategies. For this grant specifically, we propose to estimate the potential for over-diagnosis and subsequent over-treatment of early stage breast cancer that is associated with increased screening. The result of this work will be a quantitative modeling platform useful in informing decision-making about breast cancer prevention and control at two levels: an individual facing screening and treatment decisions, and society setting policy and guiding resource allocation. The proposed research brings the strengths of a decision-analytic approach to clinical and policy questions in breast cancer. Our methodologies and analyses have relevance for other types of cancer.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2009 ( Subtotal = $52,504 )
2009	2009	HARVARD UNIVERSITY, SCHOOL OF PUBLIC HEALTH	55 SHATTUCK STREET	BOSTON	MA	02115	SUFFOLK	USA	Cancer Research Manpower	000	3	12/2/2008	NON-COMPETING CONTINUATION	$52,048
2009	2009	HARVARD UNIVERSITY, SCHOOL OF PUBLIC HEALTH	55 SHATTUCK STREET	BOSTON	MA	02115	SUFFOLK	USA	Cancer Research Manpower	001	3	7/13/2009	NON-COMPETING CONTINUATION	$456
														Subtotal = $52,504

Issue Date FY: 2008 ( Subtotal = $50,428 )
2008	2008	HARVARD UNIVERSITY PRESIDENT & FELLOWS	HOLYOKE 466, 1350 MASS AVENUE	CAMBRIDGE	MA	02138	MIDDLESEX	USA	Cancer Research Manpower	000	2	12/21/2007	NON-COMPETING CONTINUATION	$50,428
														Subtotal = $50,428

Issue Date FY: 2006 ( Subtotal = $48,796 )
2006	2006	HARVARD UNIVERSITY PRESIDENT & FELLOWS	HOLYOKE 466, 1350 MASS AVENUE	CAMBRIDGE	MA	02138	MIDDLESEX	USA	Cancer Research Manpower	000	1	9/13/2006	NEW	$48,796
														Subtotal = $48,796

Grand Total All Awards = $151,728

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MODELING BREAST CARCINOMA IN SITU: IMPLICATIONS FOR PREVENTION AND CONTROL

Award Number: F32CA125984

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 11/16/2006

PERIOD OF PERFORMANCE END DATE: 11/15/2009

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