Related Experiment Video
Updated: Jun 7, 2025

Using Nicotine in a Silica-Exposed Mouse Model to Promote Lung Epithelial-Mesenchymal Transition
Published on: March 3, 2023
The causal nexus between diverse smoking statuses, potential therapeutic targets, and NSCLC: insights from Mendelian
Zhenghua Cao1, Shengkun Zhao1, Tong Wu2
1Graduate School, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Objective:
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.
Methods:
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.
Results:
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.
Conclusion:
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.
Related Concept Videos
Criteria for Causality: Bradford Hill Criteria - II
Statistical Methods for Analyzing Epidemiological Data
Causality in Epidemiology
Criteria for Causality: Bradford Hill Criteria - I
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Longitudinal Research

