Table 2_Association between genetic mutations in lung adenocarcinoma and adult body mass index: a retrospective cohort study.xlsx

BackgroundThe impact of obesity on gene mutations in lung adenocarcinoma(ADC) remains unclear. This study investigates the association between Body Mass Index(BMI) and the gene mutation in ADC.
MethodsThis study investigated the relationship between BMI and ADC gene mutation. Logistic regression model was used to verify the association between BMI and ADC gene mutations. Threshold effect analysis is used to distinguish between linear and nonlinear. Subgroup analyses rigorously assessed demographic variations, significantly strengthening the study’s credibility. Concurrently, the ROC curves were utilized to predict ADC gene mutation.
ResultsIn 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 association(OR = 0.820, 95% CI: 0.680-0.982, p = 0.030). ROC curve analysis demonstrated AUC values of 0.533(all BMI) and 0.625(Q2, 21.08 ≤ BMI < 22.86kg/m2) for predicting tumor gene mutation. Spearman’s analysis further indicated a negative correlation between tumor gene mutations and BMI(Q2, 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.
ConclusionThis study reveals a significant association between BMI and ADC gene mutations, demonstrating that elevated BMI levels correlate negatively with mutation risk within the specific range of 21.08 to 22.86 kg/m². Furthermore, the rate of gene mutation may be relatively high in women under the age of 60 who do not smoke or drink. This study may assist clinicians in preliminarily assessing the gene mutation status of patients with ADC.

背景 肥胖对肺腺癌（lung adenocarcinoma，ADC）基因突变的影响目前尚不明确。本研究旨在探讨体重指数（Body Mass Index，BMI）与肺腺癌基因突变的关联。
方法 本研究探讨了体重指数与肺腺癌基因突变的关联。采用逻辑回归模型验证BMI与肺腺癌基因突变的相关性；通过阈值效应分析区分线性与非线性关联；亚组分析严格评估了人口学特征的差异，显著提升了本研究的可信度。同时，利用受试者工作特征曲线（ROC曲线）预测肺腺癌基因突变风险。
结果 本研究中，伴基因突变与不伴基因突变的肺腺癌患者平均年龄分别为66.00岁和65.00岁。校正协变量后，BMI与肺腺癌基因突变呈显著负相关，且该关联为线性关联（比值比OR=0.820，95%置信区间CI：0.680~0.982，P=0.030）。ROC曲线分析显示，整体BMI人群预测肿瘤基因突变的曲线下面积AUC为0.533，四分位组2（21.08≤BMI<22.86kg/m²）的AUC为0.625。斯皮尔曼分析进一步表明，肿瘤基因突变与BMI呈负相关（四分位组2：OR=-0.215，P=0.032）。年龄小于60岁的患者、女性以及无烟酒史者的肺腺癌基因突变率相对较高。
结论 本研究揭示了BMI与肺腺癌基因突变的显著关联，表明在21.08~22.86kg/m²的特定范围内，BMI升高与基因突变风险呈负相关。此外，年龄小于60岁且无烟酒史的女性肺腺癌基因突变率可能相对较高。本研究可帮助临床医师初步评估肺腺癌患者的基因突变状态。