Modeling the natural history and detection of lung cancer based on smoking behavior.
In 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.
Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, Hangzhou, Zhejiang, China; Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Xing
X
Chen
Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Millennia
M
Foy
Departments of Statistics and Bioengineering, Rice University, Houston, Texas, United States of America.
Marek
M
Kimmel
Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America; Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, United States of America.
Olga Y
OY
Gorlova
D000368:Aged; D000369:Aged, 80 and over; D018450:Disease Progression; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology* / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009367:Neoplasm Staging; D012307:Risk Factors; D018426:SEER Program; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology