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DCCPS Grants Awarded in Response to an NIH PA/PAR Initiative

Initiative: Development, Application, and Evaluation of Prediction Models for Cancer Risk and Prognosis (R01)
Total Grants: 12   Total Dollars: $17,828,841

PI Name Organization Name Project Title
(Click for Abstract, Pubs, etc.)
Grant Number Abstract Page URL
Bui, Alex University of California Los Angeles A Predictive Prognostic Model for Glioblastoma Multiforme 1R01CA157553-01A1
Chen, Jinbo University of Pennsylvania Statistical Methods for Cancer Absolute Risk Prediction 1R01CA164305-01A1
Lipsitz, Stuart R. Brigham and Women's Hospital Analyzing National Complex Sample Surveys for Epidemiologic Studies of Cancer 1R01CA160679-01A1
Molinaro, Annette M Univ of California at San Francisco Novel Tree-based Statistical Methods for Cancer Risk Prediction 1R01CA163687-01A1
Natarajan, Loki University of California Genomic, clinical and behavioral signature of long-term breast cancer survival 1R01CA166293-01A1
Newcomb, Polly A Fred Hutchinson Cancer Research Center Development of a comprehensive model for colorectal cancer risk prediction 1R01CA170122-01
Santen, Richard J University of Virginia Development of Breast Cancer Risk Model Based on Estrogen Metabolomics 1R01CA158328-01A1
Syngal, Sapna Dana-Farber Cancer Inst Validation and Extension of the PREMM Model for Inherited Colorectal Cancer 2R01CA132829-05
Tavtigian, Sean Vahram University of Utah Classifying DNA Mismatch Repair Gene Variants of Unknown Significance 1R01CA164944-01A1
Weeks, Jane C. Dana-Farber Cancer Inst Cancer Recurrence: Detection in Administrative Data, Incidence, and Costs 1R01CA172143-01
Whittemore, Alice Stanford University Statistical Methods for Genetic Epidemiology 2R01CA094069-11A1
Zheng, Bin University of Pittsburgh at Pittsburgh Mammographic Density and Tissue Asymmetry Based Breast Cancer Risk Stratification 1R01CA160205-01A1
Last Updated: November 29, 2022

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