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Journal of Cancer Treatment & Diagnosis|January 22, 2019
Bridging the Data Gap in Breast Cancer Risk Assessment to Enable Widespread Clinical Implementation across the Multiethnic Landscape of the USErika Spaeth, Athena Starlard-Davenport, Richard Allman
European Journal of Cancer Prevention : the Official Journal of the European Cancer Prevention Organisation (ECP)|December 12, 2022
A combined clinical and genetic model for predicting risk of ovarian cancerGillian S Dite, Erika Spaeth, Nicholas M Murphy, et al.
The Prostate|April 17, 2023
Development and validation of a simple prostate cancer risk prediction model based on age, family history, and polygenic riskGillian S Dite, Erika Spaeth, Nicholas M Murphy, et al.
Plos One|May 13, 2025
Colorectal cancer risk prediction using a simple multivariable modelGillian S Dite, Chi Kuen Wong, Aviv Gafni, et al.
Stem Cells (Dayton, Ohio)|February 1, 2011
Concise review: Dissecting a discrepancy in the literature: do mesenchymal stem cells support or suppress tumor growth?Ann H Klopp, Anshul Gupta, Erika Spaeth, et al.
Plos One|January 22, 2021
A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk scoreRichard Allman, Erika Spaeth, John Lai, et al.
Gastro Hep Advances|August 12, 2024
Predicting 10-Year Risk of Pancreatic Cancer Using a Combined Genetic and Clinical ModelGillian S Dite, Erika Spaeth, Chi Kuen Wong, et al.
Plos One|September 15, 2021
Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK BiobankAviv Gafni, Gillian S Dite, Erika Spaeth Tuff, et al.
Melanoma Research|April 25, 2023
Melanoma risk prediction based on a polygenic risk score and clinical risk factorsChi Kuen Wong, Gillian S Dite, Erika Spaeth, et al.
Breast Cancer Research and Treatment|February 7, 2023
Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic riskRichard Allman, Yi Mu, Gillian S Dite, et al.
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