SynthesisGenetic testing and molecular biomarkers2013
TERT genetic polymorphism rs2736100 was associated with lung cancer: a meta-analysis based on 14,492 subjects.
Synthesis in Genetic testing and molecular biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 5 of them syntheses that pooled it.
What it found
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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
12 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- 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
- Pooled it
- Telomere reverse transcriptase (TERT) rs2735940 increases cancer risk.Medical science monitor : international medical journal of experimental and clinical research · 2015Pooled 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
- Increased lung cancer risk associated with the TERT rs2736100 polymorphism: an updated meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Two co-inherited SNPs of the telomerase reverse transcriptase (TERT) gene are associated with Iraqi patients with lung cancer.Journal of medical biochemistry · 2023Article
- Article
- Assessment of Telomerase Reverse Transcriptase Single Nucleotide Polymorphism in Sleep Bruxism.Journal of clinical medicine · 2022Article
- Telomere Maintenance Mechanisms in Cancer.Genes · 2018Review
- Lung adenocarcinoma: from molecular basis to genome-guided therapy and immunotherapy.Journal of thoracic disease · 2017Review
- Combining Telomerase Reverse Transcriptase Genetic Variant rs2736100 with Epidemiologic Factors in the Prediction of Lung Cancer Susceptibility.Journal of Cancer · 2016Article
- Tankyrase 1 polymorphism associated with an increased risk in developing non-small cell lung cancer in a Chinese population: a proof-of-principle study.International journal of clinical and experimental pathology · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies focused on the association of the telomerase reverse transcriptase (TERT) gene polymorphism rs2736100 with lung cancer did not reach the same conclusion. In the present study, we performed a meta-analysis to systematically summarize the possible association between TERT polymorphism rs2736100 and the risk for lung cancer.
methodWe conducted a search of case-control studies on the association of TERT with susceptibility to lung cancer in PubMed, EMBASE, ISI Web of Science, Wanfang database in China, and Chinese National Knowledge Infrastructure (CNKI) databases. Data from eligible studies were extracted for meta-analysis. Lung cancer risk associated with rs2736100 was estimated by pooled odds ratios (ORs) and 95% confidence intervals (95% CIs).
resultsSix independent case-control studies on rs2736100 were included in our meta-analysis. Our results showed that rs2736100 was associated with the risk of lung cancer not only in an additive model (OR=1.19, 95% CI: 1.04-1.35; p=0.01), but also in a dominant model (OR=1.14, 95% CI: 1.01-1.28; p=0.03).
conclusionsThis meta-analysis suggests that rs2736100 is associated with the risk of lung cancer.
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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.