scholarly journals Height and lung cancer risk: A meta-analysis of observational studies

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0185316 ◽  
Author(s):  
Fang Wang ◽  
Xingxiang Xu ◽  
Junjun Yang ◽  
Lingfeng Min ◽  
Sudong Liang ◽  
...  
Metabolites ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 362 ◽  
Author(s):  
Kian Boon Lee ◽  
Lina Ang ◽  
Wai-Ping Yau ◽  
Wei Jie Seow

Globally, lung cancer is the most prevalent cancer type. However, screening and early detection is challenging. Previous studies have identified metabolites as promising lung cancer biomarkers. This systematic literature review and meta-analysis aimed to identify metabolites associated with lung cancer risk in observational studies. The literature search was performed in PubMed and EMBASE databases, up to 31 December 2019, for observational studies on the association between metabolites and lung cancer risk. Heterogeneity was assessed using the I2 statistic and Cochran’s Q test. Meta-analyses were performed using either a fixed-effects or random-effects model, depending on study heterogeneity. Fifty-three studies with 297 metabolites were included. Most identified metabolites (252 metabolites) were reported in individual studies. Meta-analyses were conducted on 45 metabolites. Five metabolites (cotinine, creatinine riboside, N-acetylneuraminic acid, proline and r-1,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene) and five metabolite groups (total 3-hydroxycotinine, total cotinine, total nicotine, total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (sum of concentrations of the metabolite and its glucuronides), and total nicotine equivalent (sum of total 3-hydroxycotinine, total cotinine and total nicotine)) were associated with higher lung cancer risk, while three others (folate, methionine and tryptophan) were associated with lower lung cancer risk. Significant heterogeneity was detected across most studies. These significant metabolites should be further evaluated as potential biomarkers for lung cancer.


2021 ◽  
Vol 166 ◽  
pp. 105430
Author(s):  
Jie Wang ◽  
Jing Gao ◽  
Hong-li Xu ◽  
Ying Qian ◽  
Li Xie ◽  
...  

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Zeng ◽  
Zhuoyu Yang ◽  
Jiang Li ◽  
Yan Wen ◽  
Zheng Wu ◽  
...  

Abstract Background Published findings suggest sex differences in lung cancer risk and a potential role for sex steroid hormones. Our aim was to perform a meta-analysis to investigate the effects of sex steroid hormone exposure specifically on the risk of lung cancer in women. Methods The PubMed, MEDLINE, Web of Science, and EMBASE databases were searched. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for female lung cancer risk associated with sex steroid hormones were calculated overall and by study design, publication year, population, and smoking status. Sensitivity analysis, publication bias, and subgroup analysis were performed. Results Forty-eight studies published between 1987 and 2019 were included in the study with a total of 31,592 female lung cancer cases and 1,416,320 subjects without lung cancer. Overall, higher levels of sex steroid hormones, both endogenous (OR: 0.92, 95% CI: 0.87–0.98) and exogenous (OR: 0.86, 95% CI: 0.80–0.93), significantly decreased the risk of female lung cancer by 10% (OR: 0.90, 95% CI: 0.86–0.95). The risk of lung cancer decreased more significantly with a higher level of sex steroid hormones in non-smoking women (OR: 0.88, 95% CI: 0.78–0.99) than in smoking women (OR: 0.98, 95% CI: 0.77–1.03), especially in Asia women (OR: 0.84, 95% CI: 0.74–0.96). Conclusions Our meta-analysis reveals an association between higher levels of sex steroid hormone exposure and the decreased risk of female lung cancer. Surveillance of sex steroid hormones might be used for identifying populations at high risk for lung cancer, especially among non-smoking women.


2015 ◽  
Vol 15 (23) ◽  
pp. 10325-10328 ◽  
Author(s):  
Ying-Ze Huang ◽  
Wei Wu ◽  
Kun Wu ◽  
Xiao-Ning Xu ◽  
Wen-Ru Tang

Tumor Biology ◽  
2014 ◽  
Vol 35 (7) ◽  
pp. 6493-6500 ◽  
Author(s):  
Yan Zhao ◽  
Junjie Zeng ◽  
Yanxi Zhang ◽  
Su Lu ◽  
Erjiang Zhao ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76252 ◽  
Author(s):  
Xuzai Lu ◽  
Juntao Ke ◽  
Xia Luo ◽  
Yaowu Zhu ◽  
Li Zou ◽  
...  

2019 ◽  
Vol 14 (10) ◽  
pp. S956
Author(s):  
H. Chen ◽  
L. Wu ◽  
X. Li ◽  
Y. Zhu ◽  
K. Du ◽  
...  

2014 ◽  
Vol 66 (4) ◽  
pp. 539-549 ◽  
Author(s):  
Jian Song ◽  
Hong Su ◽  
Bao-long Wang ◽  
Yang-yang Zhou ◽  
Liang-Liang Guo

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