scholarly journals Incorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction model

2016 ◽  
Vol 49 (1) ◽  
pp. 361-370 ◽  
Author(s):  
MICHAEL W. MARCUS ◽  
OLAIDE Y. RAJI ◽  
STEPHEN W. DUFFY ◽  
ROBERT P. YOUNG ◽  
RAEWYN J. HOPKINS ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Prediction Model ◽  
Genetic Susceptibility ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Risk Prediction Model ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists

CHEST Journal ◽  
2019 ◽  
Vol 156 (1) ◽  
pp. 112-119 ◽  
Author(s):  
Heber MacMahon ◽  
Feng Li ◽  
Yulei Jiang ◽  
Samuel G. Armato
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Risk Prediction Model

scholarly journals The Cytokinesis-Blocked Micronucleus Assay as a Strong Predictor of Lung Cancer: Extension of a Lung Cancer Risk Prediction Model

2014 ◽  
Vol 23 (11) ◽  
pp. 2462-2470 ◽  
Author(s):  
Randa A. El-Zein ◽  
Mirtha S. Lopez ◽  
Anthony M. D'Amelio ◽  
Mei Liu ◽  
Reginald F. Munden ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Strong Predictor ◽  
Micronucleus Assay ◽  
Risk Prediction Model

scholarly journals Screen-detected subsolid pulmonary nodules: long-term follow-up and application of the PanCan lung cancer risk prediction model

2016 ◽  
Vol 89 (1060) ◽  
pp. 20160016 ◽  
Author(s):  
Henry Zhao ◽  
Henry M Marshall ◽  
Ian A Yang ◽  
Rayleen V Bowman ◽  
John Ayres ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Pulmonary Nodules ◽  
Risk Prediction Model ◽  
Long Term Follow Up

Single nucleotide polymorphisms of IGFBP-3 gene and lung cancer risk in a Korean population

Lung Cancer ◽  
2008 ◽  
Vol 62 (2) ◽  
pp. 152-161 ◽  
Author(s):  
Sle Gi Lo Han ◽  
Kyong Hwa Park ◽  
Jae Sook Sung ◽  
Young Mi Whang ◽  
Yeon Jung Kim ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Lung Cancer Risk ◽  
Korean Population ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Igfbp 3

scholarly journals Individual 5-Year Lung Cancer Risk Prediction Model in Korea Using a Nationwide Representative Database

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3496
Author(s):  
Yohwan Yeo ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Sang Hyun Park ◽  
Keun-Hye Jeon ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Lung Cancer Screening ◽  
Risk Prediction Model ◽  
C Statistic ◽  
The Mean

Early detection of lung cancer by screening has contributed to reduce lung cancer mortality. Identifying high risk subjects for lung cancer is necessary to maximize the benefits and minimize the harms followed by lung cancer screening. In the present study, individual lung cancer risk in Korea was presented using a risk prediction model. Participants who completed health examinations in 2009 based on the Korean National Health Insurance (KNHI) database (DB) were eligible for the present study. Risk scores were assigned based on the adjusted hazard ratio (HR), and the standardized points for each risk factor were calculated to be proportional to the b coefficients. Model discrimination was assessed using the concordance statistic (c-statistic), and calibration ability assessed by plotting the mean predicted probability against the mean observed probability of lung cancer. Among candidate predictors, age, sex, smoking intensity, body mass index (BMI), presence of chronic obstructive pulmonary disease (COPD), pulmonary tuberculosis (TB), and type 2 diabetes mellitus (DM) were finally included. Our risk prediction model showed good discrimination (c-statistic, 0.810; 95% CI: 0.801–0.819). The relationship between model-predicted and actual lung cancer development correlated well in the calibration plot. When using easily accessible and modifiable risk factors, this model can help individuals make decisions regarding lung cancer screening or lifestyle modification, including smoking cessation.

scholarly journals Single-nucleotide polymorphisms in the promoter of the CDK5 gene and lung cancer risk in a Korean population

2009 ◽  
Vol 54 (5) ◽  
pp. 298-303 ◽  
Author(s):  
Hyo Seon Choi ◽  
Youngin Lee ◽  
Kyong Hwa Park ◽  
Jae Sook Sung ◽  
Jong-Eun Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Lung Cancer Risk ◽  
Korean Population ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cdk5 Gene

scholarly journals Development and Validation of a Lung Cancer Risk Prediction Model for African-Americans

2008 ◽  
Vol 1 (4) ◽  
pp. 255-265 ◽  
Author(s):  
Carol J. Etzel ◽  
Sumesh Kachroo ◽  
Mei Liu ◽  
Anthony D'Amelio ◽  
Qiong Dong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
African Americans ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Lung Cancer Risk ◽  
Risk Prediction Model ◽  
Development And Validation
Sign in / Sign up

Export Citation Format

Share Document