TY - JOUR
T1 - Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model
AU - Hung, Rayjean J
AU - Warkentin, Matthew T
AU - Brhane, Yonathan
AU - Chatterjee, Nilanjan
AU - Christiani, David C
AU - Landi, Maria Teresa
AU - Caporaso, Neil E
AU - Liu, Geoffrey
AU - Johansson, Mattias
AU - Albanes, Demetrius
AU - Marchand, Loic Le
AU - Tardon, Adonina
AU - Rennert, Gad
AU - Bojesen, Stig E
AU - Chen, Chu
AU - Field, John K
AU - Kiemeney, Lambertus A
AU - Lazarus, Philip
AU - Zienolddiny, Shanbeth
AU - Lam, Stephen
AU - Andrew, Angeline S
AU - Arnold, Susanne M
AU - Aldrich, Melinda C
AU - Bickeböller, Heike
AU - Risch, Angela
AU - Schabath, Matthew B
AU - McKay, James D
AU - Brennan, Paul
AU - Amos, Christopher I
N1 - ©2021 American Association for Cancer Research.
PY - 2021/3/15
Y1 - 2021/3/15
N2 - Lung cancer is the leading cause of cancer-related death globally. An improved risk stratification strategy can increase efficiency of low-dose CT (LDCT) screening. Here we assessed whether individual's genetic background has clinical utility for risk stratification in the context of LDCT screening. On the basis of 13,119 patients with lung cancer and 10,008 controls with European ancestry in the International Lung Cancer Consortium, we constructed a polygenic risk score (PRS) via 10-fold cross-validation with regularized penalized regression. The performance of risk model integrating PRS, including calibration and ability to discriminate, was assessed using UK Biobank data (N = 335,931). Absolute risk was estimated on the basis of age-specific lung cancer incidence and all-cause mortality as competing risk. To evaluate its potential clinical utility, the PRS distribution was simulated in the National Lung Screening Trial (N = 50,772 participants). The lung cancer ORs for individuals at the top decile of the PRS distribution versus those at bottom 10% was 2.39 [95% confidence interval (CI) = 1.92-3.00; P = 1.80 × 10-14] in the validation set (P trend = 5.26 × 10-20). The OR per SD of PRS increase was 1.26 (95% CI = 1.20-1.32; P = 9.69 × 10-23) for overall lung cancer risk in the validation set. When considering absolute risks, individuals at different PRS deciles showed differential trajectories of 5-year and cumulative absolute risk. The age reaching the LDCT screening recommendation threshold can vary by 4 to 8 years, depending on the individual's genetic background, smoking status, and family history. Collectively, these results suggest that individual's genetic background may inform the optimal lung cancer LDCT screening strategy. SIGNIFICANCE: Three large-scale datasets reveal that, after accounting for risk factors, an individual's genetics can affect their lung cancer risk trajectory, thus may inform the optimal timing for LDCT screening.
AB - Lung cancer is the leading cause of cancer-related death globally. An improved risk stratification strategy can increase efficiency of low-dose CT (LDCT) screening. Here we assessed whether individual's genetic background has clinical utility for risk stratification in the context of LDCT screening. On the basis of 13,119 patients with lung cancer and 10,008 controls with European ancestry in the International Lung Cancer Consortium, we constructed a polygenic risk score (PRS) via 10-fold cross-validation with regularized penalized regression. The performance of risk model integrating PRS, including calibration and ability to discriminate, was assessed using UK Biobank data (N = 335,931). Absolute risk was estimated on the basis of age-specific lung cancer incidence and all-cause mortality as competing risk. To evaluate its potential clinical utility, the PRS distribution was simulated in the National Lung Screening Trial (N = 50,772 participants). The lung cancer ORs for individuals at the top decile of the PRS distribution versus those at bottom 10% was 2.39 [95% confidence interval (CI) = 1.92-3.00; P = 1.80 × 10-14] in the validation set (P trend = 5.26 × 10-20). The OR per SD of PRS increase was 1.26 (95% CI = 1.20-1.32; P = 9.69 × 10-23) for overall lung cancer risk in the validation set. When considering absolute risks, individuals at different PRS deciles showed differential trajectories of 5-year and cumulative absolute risk. The age reaching the LDCT screening recommendation threshold can vary by 4 to 8 years, depending on the individual's genetic background, smoking status, and family history. Collectively, these results suggest that individual's genetic background may inform the optimal lung cancer LDCT screening strategy. SIGNIFICANCE: Three large-scale datasets reveal that, after accounting for risk factors, an individual's genetics can affect their lung cancer risk trajectory, thus may inform the optimal timing for LDCT screening.
KW - Adult
KW - Age Factors
KW - Aged
KW - Biomarkers, Tumor/genetics
KW - Case-Control Studies
KW - Early Detection of Cancer/standards
KW - Female
KW - Genetic Predisposition to Disease
KW - Genome-Wide Association Study
KW - Humans
KW - Incidence
KW - Lung/diagnostic imaging
KW - Lung Neoplasms/diagnosis
KW - Machine Learning
KW - Male
KW - Mass Screening/standards
KW - Medical History Taking
KW - Middle Aged
KW - Models, Genetic
KW - Multifactorial Inheritance
KW - Oligonucleotide Array Sequence Analysis
KW - Practice Guidelines as Topic
KW - Pulmonary Disease, Chronic Obstructive/epidemiology
KW - Risk Assessment/methods
KW - Risk Factors
KW - Smoking/epidemiology
KW - Tomography, X-Ray Computed/standards
KW - United Kingdom/epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85103759318&partnerID=8YFLogxK
U2 - 10.1158/0008-5472.CAN-20-1237
DO - 10.1158/0008-5472.CAN-20-1237
M3 - Journal article
C2 - 33472890
SN - 0008-5472
VL - 81
SP - 1607
EP - 1615
JO - Cancer Research
JF - Cancer Research
IS - 6
ER -