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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Thoracic Oncology
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1438851
This article is part of the Research Topic Biomarker-Guided Strategies in NSCLC Immunotherapy View all 4 articles

The Causal Nexus between Diverse Smoking Statuses, Potential Therapeutic Targets, and NSCLC: Insights from Mendelian Randomization and Mediation Analysis

Provisionally accepted
ZhengHua Cao ZhengHua Cao 1Shengkun Zhao Shengkun Zhao 1*Tong Wu Tong Wu 1*Huan Ding Huan Ding 2*Zhiyu Tian Zhiyu Tian 1Feng Sun Feng Sun 2*Zhuo Feng Zhuo Feng 1*Shaodan Hu Shaodan Hu 2*Li Shi Li Shi 2*
  • 1 Changchun University of Chinese Medicine, Changchun, China
  • 2 The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin Province, China

The final, formatted version of the article will be published soon.

    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.

    Keywords: Different Smoking Statuses, NSCLC, Mendelian randomization, bioinformatics, Mediation analysis

    Received: 26 May 2024; Accepted: 17 Oct 2024.

    Copyright: © 2024 Cao, Zhao, Wu, Ding, Tian, Sun, Feng, Hu and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Shengkun Zhao, Changchun University of Chinese Medicine, Changchun, China
    Tong Wu, Changchun University of Chinese Medicine, Changchun, China
    Huan Ding, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin Province, China
    Feng Sun, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin Province, China
    Zhuo Feng, Changchun University of Chinese Medicine, Changchun, China
    Shaodan Hu, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin Province, China
    Li Shi, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.