ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2013
Role of selected genetic variants in lung cancer risk in African Americans.
Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.Nature genetics · 2022Pooled it
- TERT rs2736100 polymorphism contributes to lung cancer risk: a meta-analysis including 49,869 cases and 73,464 controls.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- The HUNT lung-SNP model: genetic variants plus clinical variables improve lung cancer risk assessment over clinical models.Journal of cancer research and clinical oncology · 2024Article
- Comparative analysis of genetic risk scores for predicting biochemical recurrence in prostate cancer patients after radical prostatectomy.BMC urology · 2024Article
- Development and validation of a tumor marker-based model for the prediction of lung cancer: an analysis of a multicenter retrospective study in Shanghai, China.Frontiers in oncology · 2024Article
- [Construction of a Risk Prediction Model for Lung Cancer Based on Lifestyle Behaviors in the UK Biobank Large-Scale Population Cohort].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
- Lung Cancer Risk Prediction Nomogram in Nonsmoking Chinese Women: Retrospective Cross-sectional Cohort Study.JMIR public health and surveillance · 2023Article
- Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China.Frontiers in oncology · 2021Article
- Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population.Cancer medicine · 2020Article
- Development of a risk prediction model for lung cancer: The Japan Public Health Center-based Prospective Study.Cancer science · 2018Article
- Telomerase Reverse Transcriptase Polymorphism rs2736100: A Balancing Act between Cancer and Non-Cancer Disease, a Meta-Analysis.Frontiers in medicine · 2018Article
- Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions.Current epidemiology reports · 2017Article
- Risk assessment models for genetic risk predictors of lung cancer using two-stage replication for Asian and European populations.Oncotarget · 2017Article
- A Novel Pathway-Based Approach Improves Lung Cancer Risk Prediction Using Germline Genetic Variations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016Article
- Gene by Environment Investigation of Incident Lung Cancer Risk in African-Americans.EBioMedicine · 2016Article
- Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2015Article
- Polycyclic aromatic hydrocarbons: from metabolism to lung cancer.Toxicological sciences : an official journal of the Society of Toxicology · 2015Review
- Lung cancer incidence trends by gender, race and histology in the United States, 1973-2010.PloS one · 2015Article
- Establishment and characterization of a lung cancer cell line, SMC-L001, from a lung adenocarcinoma.In vitro cellular & developmental biology. Animal · 2014Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
introductionBlack/white disparities in lung cancer incidence and mortality mandate an evaluation of underlying biological differences. We have previously shown higher risks of lung cancer associated with prior emphysema in African American compared with white patients with lung cancer.
methodsWe therefore evaluated a panel of 1440 inflammatory gene variants in a two-phase analysis (discovery and replication), added top genome-wide association studies (GWAS) lung cancer hits from white populations, and 28 single-nucleotide polymorphisms (SNPs) from a published gene panel. The discovery set (477 self-designated African Americans cases, 366 controls matched on age, ethnicity, and gender) were from Houston, Texas. The external replication set (330 cases and 342 controls) was from the EXHALE study at Wayne State University.
resultsIn discovery, 154 inflammation SNPs were significant (p < 0.05) on univariate analysis, as was one of the gene panel SNPs (rs308738 in REV1, p = 0.0013), and three GWAS hits, rs16969968 p = 0.0014 and rs10519203 p = 0.0003 in the 15q locus and rs2736100, in the HTERT locus, p = 0.0002. One inflammation SNP, rs950286, was successfully replicated with a concordant odds ratio of 1.46 (1.14-1.87) in discovery, 1.37 (1.05-1.77) in replication, and a combined odds ratio of 1.40 (1.17-1.68). This SNP is intergenic between IRF4 and EXOC2 genes. We also constructed and validated epidemiologic and extended risk prediction models. The area under the curve (AUC) for the epidemiologic discovery model was 0.77 and 0.80 for the extended model. For the combined datasets, the AUC values were 0.75 and 0.76, respectively.
conclusionsAs has been reported for other cancer sites and populations, incorporating top genetic hits into risk prediction models, provides little improvement in model performance and no clinical relevance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.