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Grant Details

Grant Number: 5U01CA199218-04 Interpret this number
Primary Investigator: Mandelblatt, Jeanne
Organization: Georgetown University
Project Title: Comparative Modeling: Informing Breast Cancer Control Practice and Policy
Fiscal Year: 2018
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Abstract

? DESCRIPTION (provided by applicant): The CISNET Breast Working Group (BWG) proposes innovative modeling research focused on challenges in early detection and clinical management that are expected to re-define breast cancer control best practices. The specific aims of this research are to: 1) evaluate the population impact of using polygenic risk to inform screening strategies; 2) assess use of emerging new imaging technologies for population screening; 3) evaluate use of active surveillance for the clinical management of screen-detected DCIS; 4) evaluate the impact of new molecular pathway- and genomic-targeted treatment paradigms in the adjuvant and recurrence settings; and 5) synthesize the methods to quantify the relative contributions of these new paradigms for screening and clinical management on US mortality trends for the general population and risk-stratified subpopulations. These aims encompass four RFA priority areas, and we have set aside funds to address three additional emerging areas (international cancer control planning, cancer disparities, and cancer-specific priority areas [e.g, trials of local recurrence]). Based on unique features, the investigators will work in teams of 3-4 models to address these aims so that the topics can be evaluated efficiently within the project period. This scope of work would not be feasible without the availability of six distinctive BWG models. The BWG models include: Dana Farber (D), Erasmus (E), Georgetown-Einstein (GE), MD Anderson (M), Stanford (S) and Wisconsin-Harvard (W). These modeling teams have been continuously funded for the past 14 years. Their collaboration has been very productive, including publication of 162 research papers, and conduct of modeling to inform public health policy decisions. For this proposal, the BWG will partner with: the Breast Cancer Surveillance Consortium (BCSC); the American College of Radiology Imaging Network (ACRIN); the Genetic Associations and Mechanisms in Oncology (GAME-ON) researchers; the Canadian Partnership Against Cancer; the Evaluation of Genomic Applications in Practice and Prevention (EGAPP); the Athena DCIS registry; the Population-based Research Optimizing Screening though Personalized Regimens (PROSPR) program; the Cancer Research Network (CRN); and international groups. An experienced Coordinating Center provides the infrastructure to support the project goals. This exceedingly strong collaborative environment provides for unprecedented synergy and leveraging of resources to address new research questions that would not be possible outside of this setting. We will deploy novel statistical approaches to jointly estimate DCIS natural history parameters and calculate progression-free survival and survival post-progression. A unique component includes providing model results for use in an extant DCIS clinical management decision aid. Finally, we include formal training opportunities. Overall, this research will advance modeling research and continue to guide breast cancer control policy.

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Publications

Simulation Modeling of Cancer Clinical Trials: Application to Omitting Radiotherapy in Low-risk Breast Cancer.
Authors: Jayasekera J. , Li Y. , Schechter C.B. , Jagsi R. , Song J. , White J. , Luta G. , Chapman J.W. , Feuer E.J. , Zellars R.C. , et al. .
Source: Journal Of The National Cancer Institute, 2018-04-28 00:00:00.0; , .
EPub date: 2018-04-28 00:00:00.0.
PMID: 29718314
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Structure, Function, and Applications of the Georgetown-Einstein (GE) Breast Cancer Simulation Model.
Authors: Schechter C.B. , Near A.M. , Jayasekera J. , Chandler Y. , Mandelblatt J.S. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 66S-77S.
PMID: 29554462
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Modeling Ductal Carcinoma In Situ (DCIS): An Overview of CISNET Model Approaches.
Authors: van Ravesteyn N.T. , van den Broek J.J. , Li X. , Weedon-Fekjær H. , Schechter C.B. , Alagoz O. , Huang X. , Weaver D.L. , Burnside E.S. , Punglia R.S. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 126S-139S.
PMID: 29554463
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Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment.
Authors: Munoz D.F. , Plevritis S.K. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 32S-43S.
PMID: 29554464
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The Dana-Farber CISNET Model for Breast Cancer Screening Strategies: An Update.
Authors: Lee S.J. , Li X. , Huang H. , Zelen M. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 44S-53S.
PMID: 29554465
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Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling.
Authors: Mandelblatt J.S. , Near A.M. , Miglioretti D.L. , Munoz D. , Sprague B.L. , Trentham-Dietz A. , Gangnon R. , Kurian A.W. , Weedon-Fekjaer H. , Cronin K.A. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 9S-23S.
PMID: 29554466
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Contribution of Breast Cancer to Overall Mortality for US Women.
Authors: Gangnon R.E. , Stout N.K. , Alagoz O. , Hampton J.M. , Sprague B.L. , Trentham-Dietz A. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 24S-31S.
PMID: 29554467
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Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49.
Authors: van den Broek J.J. , van Ravesteyn N.T. , Mandelblatt J.S. , Huang H. , Ergun M.A. , Burnside E.S. , Xu C. , Li Y. , Alagoz O. , Lee S.J. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 140S-150S.
PMID: 29554468
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Simulating the Impact of Risk-Based Screening and Treatment on Breast Cancer Outcomes with MISCAN-Fadia.
Authors: van den Broek J.J. , van Ravesteyn N.T. , Heijnsdijk E.A. , de Koning H.J. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 54S-65S.
PMID: 29554469
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The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update.
Authors: Alagoz O. , Ergun M.A. , Cevik M. , Sprague B.L. , Fryback D.G. , Gangnon R.E. , Hampton J.M. , Stout N.K. , Trentham-Dietz A. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 99S-111S.
PMID: 29554470
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Comparing CISNET Breast Cancer Models Using the Maximum Clinical Incidence Reduction Methodology.
Authors: van den Broek J.J. , van Ravesteyn N.T. , Mandelblatt J.S. , Cevik M. , Schechter C.B. , Lee S.J. , Huang H. , Li Y. , Munoz D.F. , Plevritis S.K. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 112S-125S.
PMID: 29554471
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Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models.
Authors: Alagoz O. , Berry D.A. , de Koning H.J. , Feuer E.J. , Lee S.J. , Plevritis S.K. , Schechter C.B. , Stout N.K. , Trentham-Dietz A. , Mandelblatt J.S. , et al. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 Apr; 38(1_suppl), p. 3S-8S.
PMID: 29554472
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Detection and interval cancer rates during the transition from screen-film to digital mammography in population-based screening.
Authors: Sankatsing V.D.V. , Fracheboud J. , de Munck L. , Broeders M.J.M. , van Ravesteyn N.T. , Heijnsdijk E.A.M. , Verbeek A.L.M. , Otten J.D.M. , Pijnappel R.M. , Siesling S. , et al. .
Source: Bmc Cancer, 2018-03-05 00:00:00.0; 18(1), p. 256.
EPub date: 2018-03-05 00:00:00.0.
PMID: 29506487
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Cost Effectiveness of Gene Expression Profile Testing in Community Practice.
Authors: Chandler Y. , Schechter C.B. , Jayasekera J. , Near A. , O'Neill S.C. , Isaacs C. , Phelps C.E. , Ray G.T. , Lieu T.A. , Ramsey S. , et al. .
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2018-02-20 00:00:00.0; 36(6), p. 554-562.
EPub date: 2018-01-08 00:00:00.0.
PMID: 29309250
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Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012.
Authors: Plevritis S.K. , Munoz D. , Kurian A.W. , Stout N.K. , Alagoz O. , Near A.M. , Lee S.J. , van den Broek J.J. , Huang X. , Schechter C.B. , et al. .
Source: Jama, 2018-01-09 00:00:00.0; 319(2), p. 154-164.
PMID: 29318276
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Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening.
Authors: Trentham-Dietz A. , Ergun M.A. , Alagoz O. , Stout N.K. , Gangnon R.E. , Hampton J.M. , Dittus K. , James T.A. , Vacek P.M. , Herschorn S.D. , et al. .
Source: Breast Cancer Research And Treatment, 2017-11-28 00:00:00.0; , .
EPub date: 2017-11-28 00:00:00.0.
PMID: 29185118
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Effect of Time to Diagnostic Testing for Breast, Cervical, and Colorectal Cancer Screening Abnormalities on Screening Efficacy: A Modeling Study.
Authors: Rutter C.M. , Kim J.J. , Meester R.G.S. , Sprague B.L. , Burger E.A. , Zauber A.G. , Ergun M.A. , Campos N.G. , Doubeni C.A. , Trentham-Dietz A. , et al. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2017-11-17 00:00:00.0; , .
EPub date: 2017-11-17 00:00:00.0.
PMID: 29150480
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Emerging Trends in Family History of Breast Cancer and Associated Risk.
Authors: Shiyanbola O.O. , Arao R.F. , Miglioretti D.L. , Sprague B.L. , Hampton J.M. , Stout N.K. , Kerlikowske K. , Braithwaite D. , Buist D.S.M. , Egan K.M. , et al. .
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2017-10-06 00:00:00.0; , .
EPub date: 2017-10-06 00:00:00.0.
PMID: 28986348
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A Bayesian Simulation Model for Breast Cancer Screening, Incidence, Treatment, and Mortality.
Authors: Huang X. , Li Y. , Song J. , Berry D.A. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2017-06-01 00:00:00.0; , p. 272989X17714473.
EPub date: 2017-06-01 00:00:00.0.
PMID: 28627297
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Oncologist And Organizational Factors Associated With Variation In Breast Cancer Multigene Testing
Authors: Lieu T.A. , Ray G.T. , Prausnitz S.R. , Habel L.A. , Alexeeff S. , Li Y. , Ramsey S.D. , Phelps C.E. , Chawla N. , C O'Neill S. , et al. .
Source: Breast Cancer Research And Treatment, 2017-02-21 00:00:00.0; , .
PMID: 28224383
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Evaluating Frameworks That Provide Value Measures for Health Care Interventions.
Authors: Mandelblatt J.S. , Ramsey S.D. , Lieu T.A. , Phelps C.E. .
Source: Value In Health : The Journal Of The International Society For Pharmacoeconomics And Outcomes Research, 2017 Feb; 20(2), p. 185-192.
PMID: 28237193
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Tailoring Breast Cancer Screening Intervals By Breast Density And Risk For Women Aged 50 Years Or Older: Collaborative Modeling Of Screening Outcomes
Authors: Trentham-Dietz A. , Kerlikowske K. , Stout N.K. , Miglioretti D.L. , Schechter C.B. , Ergun M.A. , van den Broek J.J. , Alagoz O. , Sprague B.L. , van Ravesteyn N.T. , et al. .
Source: Annals Of Internal Medicine, 2016-11-15 00:00:00.0; 165(10), p. 700-712.
PMID: 27548583
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Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies.
Authors: Mandelblatt J.S. , Stout N.K. , Schechter C.B. , van den Broek J.J. , Miglioretti D.L. , Krapcho M. , Trentham-Dietz A. , Munoz D. , Lee S.J. , Berry D.A. , et al. .
Source: Annals Of Internal Medicine, 2016-02-16 00:00:00.0; 164(4), p. 215-25.
EPub date: 2016-02-16 00:00:00.0.
PMID: 26756606
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A Molecular Subtype-Specific Stochastic Simulation Model of US Breast Cancer Incidence, Survival, and Mortality Trends from 1975 to 2010.
Authors: Munoz D.F. , Xu C. , Plevritis S.K. .
Source: Medical Decision Making : An International Journal Of The Society For Medical Decision Making, 2018 04; 38(1_suppl), p. 89S-98S.
PMID: 29554473
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