ArticleJournal of Cancer2016
Combining Telomerase Reverse Transcriptase Genetic Variant rs2736100 with Epidemiologic Factors in the Prediction of Lung Cancer Susceptibility.
Article in Journal of Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 6 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Differences in the risk association of TERT rs2736098 (C > T) with lung cancer between Caucasian and Asian populations: A meta-analysis.Scientific reports · 2025Pooled it
- Association of rs401681 (C > T) and rs402710 (C > T) polymorphisms in the CLPTM1L region with risk of lung cancer: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Pooled it
- Ethnicity-specific association between TERT rs2736100 (A > C) polymorphism and lung cancer risk: a comprehensive meta-analysis.Scientific reports · 2023Pooled it
- TERT Gene rs2736100 and rs2736098 Polymorphisms are Associated with Increased Cancer Risk: A Meta-Analysis.Biochemical genetics · 2022Pooled it
- Pooled it
- Study on the mechanism of gracillin inhibiting theJournal of Cancer · 2025Article
- [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
- Association between WWOX and the risk of malignant tumor, especially among Asians: evidence from a meta-analysis.OncoTargets and therapy · 2018Article
- E2F3 transcription factor: A promising biomarker in lung cancer.Cancer biomarkers : section A of Disease markers · 2017Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic variants from a considerable number of susceptibility loci have been identified in association with cancer risk, but their interaction with epidemiologic factors in lung cancer remains to be defined. We sought to establish a forecasting model for identifying individuals with high-risk of lung cancer by combing gene single-nucleotide polymorphisms with epidemiologic factors. Genotyping and clinical data from 500 lung cancer cases and 500 controls were used for developing the logistic regression model. We found that lung cancer was associated with telomerase reverse transcriptase (TERT) rs2736100 single-nucleotide polymorphism. The TERT rs2736100 model was still significantly associated with lung cancer risk when combined with environmental and lifestyle factors, including lower education, lower BMI, COPD history, heavy cigarettes smoking, heavy cooking emission, and dietary factors (over-consumption of meat and deficiency in fish/shrimp, vegetables, dairy products, and soybean products). These data suggest that combining TERT SNP and epidemiologic factors may be a useful approach to discriminate high and low-risk individuals for lung cancer.
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