Cao Zhenghua, Zhao Shengkun, Wu Tong, Ding Huan, Tian Zhiyu, Sun Feng, Feng Zhuo, Hu Shaodan, Shi Li
Graduate School, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Geriatric Department, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, Suzhou, Jiangsu, China.
Front Oncol. 2024 Nov 4;14:1438851. doi: 10.3389/fonc.2024.1438851. eCollection 2024.
Lung cancer, the most prevalent malignancy, is typically diagnosed at an advanced stage. Smoking is a pivotal risk factor for NSCLC, yet the impact of various smoking statuses on NSCLC remains unclear. Thus, this study aims to explore whether different smoking statuses can causally influence NSCLC through effects on predictive targets, offering a novel perspective for NSCLC treatment.
Employing dual-sample MR, MVMR, and TSMR approaches, we assessed the causal relationships between 13 distinct smoking statuses and NSCLC, using predicted potential therapeutic targets as mediators to further elucidate the causal interplay among them.
Among the 13 smoking statuses, current tobacco smoking, exposure to tobacco smoke outside the home, past tobacco smoking, and never smoked demonstrated causal relationships with NSCLC. MVMR analysis reveals that Current tobacco smoking is an independent risk factor for NSCLC. Utilizing NCAPD2, IL11RA, and MLC1 as mediators, IL11RA (22.2%) was found to potentially mediate the relationship between past tobacco smoking and NSCLC.
This study, integrating bioinformatics and MR analysis, identified three potential predictive targets as mediators to investigate the causal relationships between different smoking statuses and NSCLC through potential therapeutic targets, providing new insights for the treatment and prevention of NSCLC.
肺癌是最常见的恶性肿瘤,通常在晚期才被诊断出来。吸烟是NSCLC的关键危险因素,但不同吸烟状态对NSCLC的影响仍不明确。因此,本研究旨在探讨不同吸烟状态是否能通过对预测靶点的影响因果性地影响NSCLC,为NSCLC治疗提供新视角。
采用双样本MR、MVMR和TSMR方法,我们评估了13种不同吸烟状态与NSCLC之间的因果关系,并以预测的潜在治疗靶点作为中介来进一步阐明它们之间的因果相互作用。
在13种吸烟状态中,当前吸烟、家庭外接触烟草烟雾、既往吸烟和从不吸烟与NSCLC存在因果关系。MVMR分析显示,当前吸烟是NSCLC的独立危险因素。以NCAPD2、IL11RA和MLC1作为中介,发现IL11RA(22.2%)可能介导既往吸烟与NSCLC之间的关系。
本研究整合生物信息学和MR分析,确定了三个潜在的预测靶点作为中介,通过潜在治疗靶点研究不同吸烟状态与NSCLC之间的因果关系,为NSCLC的治疗和预防提供了新见解。