Comparative Modeling:  Informing Breast Cancer Control Practice and Policy

Principal Investigator: Jeanne Mandelblatt, MD, MPH
Institution: Georgetown University Medical Center

Co-PIs

Amy Trentham-Dietz, PhD University of Wisconsin
Donald Berry, PhD University of Texas MD Anderson
Sandra J Lee, DSc Dana-Farber Cancer Institute
Harry de Koning, MD, PhD Erasmus MC
Sylvia Plevritris, PhD Stanford University
Clyde Schechter, MD Albert Einstein College of Medicine

Grant Number: U01CA199218

Abstract: 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:

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.