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Lung Cancer Risk Prediction Modelling -- Extensions to the PLCOm2012 model

Principal Investigator

Name
Martin Carl Tammemagi

Degrees
DVM, MSc, PhD

Institution
Brock University

Position Title
Professor

Email
martin.tammemagi@brocku.ca

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-416

Initial CDAS Request Approval
Oct 26, 2018

Title
Lung Cancer Risk Prediction Modelling -- Extensions to the PLCOm2012 model

Summary
We developed and validated lung cancer risk prediction models (PLCOm2012 and PLCOall2014) (Tammemagi MC, Katki H, Hocking W, et al. Selection criteria for lung-cancer screening. New England Journal of Medicine. 2013;368(8):728-36.
Tammemägi M, Church T, Hocking W, et al. Evaluation of the Lung Cancer Risks at which to Screen Ever- and Never-Smokers: Screening Rules Applied to the PLCO and NLST Cohorts. PLoS medicine. 2014; December 2, 2014;11(12): e1001764. doi:10.1371/journal.pmed.1001764.)
These models have been externally validated in multiple countries and have gained widespread use. We wish to attempt to further improve them by identifying whether dietary factors and/or the serum protein biomarker, CA-125, can further improve lung cancer risk prediction and develop an understanding of the association between diet and CA-125 and lung cancer.

Aims

Using regression models we will evaluate whether dietary factors or CA-125 in women improve lung cancer risk prediction beyond that possible with the existing PLCOm2012 and PLCOall2014 models, and we wish to develop an understanding of the independent relationships between diet and CA-125 and lung cancer, and subsets in which the relationships are stronger or weaker (effect modification).

Collaborators

Meera Mahmud (Dr. Tammemagi's graduate student) Brock University
Asia Przepiorkowski (Dr. Tammemagi's graduate student) Brock University

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