P42.08 Association Between the Age at First-Live Birth and Lung Cancer Risk: Meta-Analysis and Mendelian Randomization Analysis

Abstract BackgroundFamily socioeconomic position (SEP) in childhood is an important factor to predict some chronic diseases. However, the association between family SEP in childhood and the risk of lung cancer is not clear. MethodsA systematic search was performed to explore their relationship. We selected education level, socioeconomic positions of parents and childhood housing conditions to represent an individual family SEP. Hazard ratios (HRs) of lung cancer specific-mortality were synthesized using a random effects model. Two-sample Mendelian randomization (MR) was carried out with summary data from published genome-wide association studies of SEP to assess the possible causal relationship of SEP and risk of lung cancer. ResultsThrough meta-analysis of 13 studies, we observed that poorer SEP was associated with increased lung cancer risk (HR: 1.25, 95% CI: 1.10, 1.43). In addition, the dose-response analysis revealed a negative correlation between SEP in childhood and lung cancer in adulthood. Same conclusion was reached in MR [(education level) OR 0.50, 95% CI: 0.39, 0.63; P: <0.001]. ConclusionsThis study indicates that poor family SEP in childhood is a causal risk factor for lung cancer. We believe this population may receive greater benefit from lung cancer screening programs.Systematic review registrationProspero ID: 159082

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Associations between female lung cancer risk and sex steroid hormones: a systematic review and meta-analysis of the worldwide epidemiological evidence on endogenous and exogenous sex steroid hormones

BMC Cancer ◽

10.1186/s12885-021-08437-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hui Zeng ◽

Zhuoyu Yang ◽

Jiang Li ◽

Yan Wen ◽

Zheng Wu ◽

...

Keyword(s):

Lung Cancer ◽

Cancer Risk ◽

Steroid Hormones ◽

Lung Cancer Risk ◽

Meta Analysis ◽

Sex Steroid Hormones ◽

Sex Steroid ◽

Sex Steroid Hormone ◽

Hormone Exposure ◽

Female Lung Cancer

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.

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Relationship between lung function and lung cancer risk: a pooled analysis of cohorts plus Mendelian randomization study

Journal of Cancer Research and Clinical Oncology ◽

10.1007/s00432-021-03619-1 ◽

2021 ◽

Author(s):

Zixuan Su ◽

Yu Jiang ◽

Caichen Li ◽

Ran Zhong ◽

Runchen Wang ◽

...

Keyword(s):

Lung Cancer ◽

Lung Function ◽

Cancer Risk ◽

Lung Cancer Risk ◽

Mendelian Randomization ◽

Pooled Analysis

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Testosterone in Female Depression: A Meta-Analysis and Mendelian Randomization Study

Biomolecules ◽

10.3390/biom11030409 ◽

2021 ◽

Vol 11 (3) ◽

pp. 409

Author(s):

Dhruba Tara Maharjan ◽

Ali Alamdar Shah Syed ◽

Guan Ning Lin ◽

Weihai Ying

Keyword(s):

Mendelian Randomization ◽

Meta Analysis ◽

Menopausal Status ◽

Serum Testosterone ◽

Serum Levels ◽

Testosterone Levels ◽

Mendelian Randomization Analysis ◽

The Difference ◽

Diagnostic Capabilities ◽

Randomization Analysis

Testosterone’s role in female depression is not well understood, with studies reporting conflicting results. Here, we use meta-analytical and Mendelian randomization techniques to determine whether serum testosterone levels differ between depressed and healthy women and whether such a relationship is casual. Our meta-analysis shows a significant association between absolute serum testosterone levels and female depression, which remains true for the premenopausal group while achieving borderline significance in the postmenopausal group. The results from our Mendelian randomization analysis failed to show any causal relationship between testosterone and depression. Our results show that women with depression do indeed display significantly different serum levels of testosterone. However, the directions of the effect of this relationship are conflicting and may be due to menopausal status. Since our Mendelian randomization analysis was insignificant, the difference in testosterone levels between healthy and depressed women is most likely a manifestation of the disease itself. Further studies could be carried out to leverage this newfound insight into better diagnostic capabilities culminating in early intervention in female depression.

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