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Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model
- Source :
- Cancer Research, 81, 1607-1615, CANCER RESEARCH, Cancer Res, Cancer Research, 81, 6, pp. 1607-1615
- Publication Year :
- 2021
-
Abstract
- 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 (Ptrend = 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.
- Subjects :
- 0301 basic medicine
Oncology
Male
Cancer Research
Multifactorial Inheritance
Lung Neoplasms
Decile
Machine Learning
Pulmonary Disease, Chronic Obstructive
0302 clinical medicine
Risk Factors
Mass Screening
Family history
Medical History Taking
Lung
Early Detection of Cancer
Oligonucleotide Array Sequence Analysis
Incidence (epidemiology)
Incidence
Smoking
Absolute risk reduction
Age Factors
Middle Aged
3. Good health
Urological cancers Radboud Institute for Health Sciences [Radboudumc 15]
030220 oncology & carcinogenesis
Practice Guidelines as Topic
Female
Adult
medicine.medical_specialty
Context (language use)
Risk Assessment
Article
03 medical and health sciences
All institutes and research themes of the Radboud University Medical Center
Internal medicine
medicine
Biomarkers, Tumor
Humans
Genetic Predisposition to Disease
Lung cancer
Aged
Models, Genetic
business.industry
medicine.disease
Confidence interval
United Kingdom
030104 developmental biology
Case-Control Studies
National Lung Screening Trial
business
Tomography, X-Ray Computed
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 00085472
- Database :
- OpenAIRE
- Journal :
- Cancer Research, 81, 1607-1615, CANCER RESEARCH, Cancer Res, Cancer Research, 81, 6, pp. 1607-1615
- Accession number :
- edsair.doi.dedup.....f79a1c681c12de7399bc76d75815ba7b