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
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.
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
Related Publications
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Risk Model-Based Lung Cancer Screening and Racial and Ethnic Disparities in the US.
Choi E, Ding VY, Luo SJ, Ten Haaf K, Wu JT, Aredo JV, Wilkens LR, Freedman ND, Backhus LM, Leung AN, Meza R, Lui NS, Haiman CA, Park SL, Le Marchand L, Neal JW, Cheng I, Wakelee HA, Tammemägi MC, Han SS
JAMA Oncol. 2023 Oct 26 PUBMED -
Sensitivity of US Preventive Services Task Force and PLCOm2012 lung cancer screening eligibility criteria in individuals with lung cancer in South Dakota self-reporting as Indigenous and non-Indigenous.
Tammemägi MC, Cina K, Kitts AKB, Koop D, Petereit MA, Sargent M, Petereit DG
Cancer. 2023 Oct 9 PUBMED