Modeling the Natural History and Detection of Lung Cancer Based on Smoking Behavior

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dc.citation.firstpagee93430en_US
dc.citation.issueNumber4en_US
dc.citation.journalTitlePLoS Oneen_US
dc.citation.volumeNumber9en_US
dc.contributor.authorChen, Xingen_US
dc.contributor.authorFoy, Millenniaen_US
dc.contributor.authorKimmel, Mareken_US
dc.contributor.authorGorlova, Olga Y.en_US
dc.date.accessioned2014-08-01T19:09:21Zen_US
dc.date.available2014-08-01T19:09:21Zen_US
dc.date.issued2014en_US
dc.description.abstractIn this study, we developed a method for modeling the progression and detection of lung cancer based on the smoking behavior at an individual level. The model allows obtaining the characteristics of lung cancer in a population at the time of diagnosis. Lung cancer data from Surveillance, Epidemiology and End Results (SEER) database collected between 2004 and 2008 were used to fit the lung cancer progression and detection model. The fitted model combined with a smoking based carcinogenesis model was used to predict the distribution of age, gender, tumor size, disease stage and smoking status at diagnosis and the results were validated against independent data from the SEER database collected from 1988 to 1999. The model accurately predicted the gender distribution and median age of LC patients of diagnosis, and reasonably predicted the joint tumor size and disease stage distribution.en_US
dc.identifier.citationChen, Xing, Foy, Millennia, Kimmel, Marek, et al.. "Modeling the Natural History and Detection of Lung Cancer Based on Smoking Behavior." <i>PLoS One,</i> 9, no. 4 (2014) Public Library of Science: e93430. http://dx.doi.org/10.1371/journal.pone.0093430.en_US
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0093430en_US
dc.identifier.urihttps://hdl.handle.net/1911/76317en_US
dc.language.isoengen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleModeling the Natural History and Detection of Lung Cancer Based on Smoking Behavioren_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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