Association Between Genetic Mutations in Lung Adenocarcinoma and Adult Body Mass Index: A Retrospective Cohort Study

Lei YangYanqiao WuDe Peng Jiang^*

• Second Affiliated Hospital, Chongqing Medical University, Chongqing, China

Abstract Background Lung adenocarcinoma(ADC), a common lung cancer type, often has genetic mutations. Obesity is linked to tumor development, but its impact on tumor gene mutation characteristics is unclear. This study investigates the association between Body Mass Index(BMI) and the driver gene mutation spectrum in ADC. Methods This study investigated the relationship between BMI and ADC gene mutation. Logistic regression models coupled with smoothed curve fitting revealed a pronounced threshold effect, establishing a two-segment linear relationship. Subgroup analyses rigorously assessed demographic variations, significantly strengthening the study's credibility. Concurrently, we utilized ROC curves to predict ADC gene mutation. Results In our study, average ages of 66.00 vs. 65.00 were observed for ADC with gene mutation and ADC without gene mutation, respectively. After adjusting for covariates, a significant negative association emerged between BMI and ADC gene mutation, revealing a linear correlation(OR = 0.82, 95% CI: 0.680-0.982, p = 0.030). ROC curve analysis demonstrated AUC values of 0.533 (all BMI) and 0.625 (21.08 ≤ BMI < 22.86kg/m2) for predicting tumor gene mutation. Spearman's analysis further indicated a negative association between tumor gene mutations and BMI (OR = -0.215, p = 0.032). Patients younger than 60 years of age, women and those without a history of smoking and drinking had a relatively high rate of ADC gene mutations. Conclusion This study uncovers a significant correlation between BMI and ADC gene mutation, specifically within the BMI range of 21.08 to 22.86 kg/m2. Meanwhile, the rate of genetic mutations may be relatively high in women under the age of 60 who do not smoke or drink.