Abstract 1224P
Background
Lung cancer is the second most common cancer and the leading cause of cancer death for both genders, making it urgent to develop effective preventive approaches. Observational studies have been focusing on the modifiable risk factors of lung cancer, which may be biased by confounders or inverse causality. Mendelian randomization (MR) analysis can be used to identify the causality between exposure and outcome, by using genetic instrumental variables as proxies and avoiding the confounding effect and inverse causality. In this study, we aimed to investigate the potential causality between modifiable risk factors and lung cancer, utilizing MR analysis.
Methods
We included 46 modifiable risk factors identified in previous studies, of which single nucleotide polymorphism data were available. Specifically, 60 traits associated with socioeconomic status (SES), lifestyle, dietary, cardiometabolic factors, developmental and growth factors, and inflammation were included. Two-sample MR was conducted to investigate the potential causalities. Risk factors were considered suggestive when the P-value was less than 0.05, or significant when less than 0.0008 (Bonferroni corrected).
Results
The SES was significantly correlated with lower risk of lung cancer, including years of schooling, college or university degree, and household income. While cigarettes smoked per day, time spent watching TV, polyunsaturated fatty acids (PUFA), docosapentaenoic acid (DPA), eicosapentaenoic acid (EPA), and arachidonic acid (AA) in blood were significantly associated with higher risk of lung cancer. Suggestive risk factors for lung cancer were found to be serum vitamin A1, copper in blood, docosahexaenoic acid (DHA) in blood, and body fat percentage. Table: 1224P
| Exposure | OR(95%CI) | P-value |
| Years of schooling | 0.49 (0.35 - 0.68) | 3.37E-05 |
| College or university degree | 0.21 (0.14 - 0.31) | 1.10E-14 |
| Household income | 0.44 (0.30 - 0.66) | 7.12E-05 |
| Cigarettes smoked per day | 1.34 (1.28 - 1.41) | 8.45E-35 |
| Time spent watching TV | 1.96 (1.32 - 2.89) | 7.65E-04 |
| PUFA in blood | 1.15 (1.06 - 1.24) | 4.14E-04 |
| DPA in blood | 7.83 (3.41 - 17.97) | 1.19E-06 |
| EPA in blood | 6.49 (2.38 - 17.68) | 2.57E-04 |
| AA in blood | 3.97 (1.92 - 8.22) | 2.02E-04 |
| Serum vitamin A1 | 1.44 (1.01 - 2.06) | 4.58E-02 |
| Cooper in blood | 1.14 (1.01 - 1.29) | 3.91E-02 |
| DHA in blood | 1.28 (1.07 - 1.54) | 6.42E-03 |
| Body fat percentage | 1.26 (1.06 - 1.50) | 1.02E-02 |
Conclusions
Approaches like improving SES, cigarette cessation, declining time spent watching TV, and reducing PUFA in blood can be effective in lung cancer prevention, considering the causalities identified in our study.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.