Association between cumulative exposure periods of flupentixol or any antipsychotics and risk of lung cancer

Abstract

Background: Preclinical evidence suggests that certain antipsychotic medications may inhibit the development of lung cancer. This study aims to investigate the association between incident lung cancer and different cumulative exposure periods of flupentixol or any antipsychotics. Methods: Using electronic health records from the Hospital Authority in Hong Kong, this nested case-control study included case participants aged 18 years or older with newly diagnosed lung cancer after initiating antipsychotics between January 1, 2003, and August 31, 2022. Each case was matched to up to ten controls of the same sex and age, who were also antipsychotic users. Multivariable conditional logistic regression models were conducted to quantify the association between lung cancer and different cumulative exposure times of flupentixol (0–365 days [ref]; 366–1825 days; 1826+ days) and any antipsychotics (1–365 days [ref]; 366–1825 days; 1826+ days), separately. Results: Here we show that among 6435 cases and 64,348 matched controls, 64.06% are males, and 52.98% are aged 65–84 years. Compared to patients with less than 365 days of exposure, those with 366–1825 days of exposure to flupentixol (OR = 0.65 [95% CI, 0.47–0.91]) and any antipsychotics (0.42 [0.38–0.45]) have a lower risk of lung cancer. A decreased risk is observed in patients who have 1826+ days of cumulative use of any antipsychotics (0.54 [0.47–0.60]). Conclusions: A reduced risk of lung cancer is observed in patients with more than one year of exposure to flupentixol or any antipsychotics. Further research on the association between lung cancer and other antipsychotic agents is warranted.

Publication DOI: https://doi.org/10.1038/s43856-023-00364-z
Divisions: College of Health & Life Sciences > Aston Pharmacy School
Aston University (General)
Funding Information: We gratefully acknowledge the generous provision of data by the Hospital Authority. F.L. and I.W. are partially supported by the Laboratory of Data Discovery for Health (D24H) funded by the by AIR@InnoHK administered by Innovation and Technology Commissio
Additional Information: Copyright © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Uncontrolled Keywords: Public Health, Environmental and Occupational Health,Internal Medicine,Epidemiology,Medicine (miscellaneous),Assessment and Diagnosis
Publication ISSN: 2730-664X
Last Modified: 15 Jul 2025 07:14
Date Deposited: 14 Jul 2025 16:40
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.nat ... 856-023-00364-z (Publisher URL)
PURE Output Type: Article
Published Date: 2023-09-26
Accepted Date: 2023-09-01
Authors: Chai, Yi
Chu, Rachel Yui Ki
Hu, Yuqi
Lam, Ivan Chun Hang
Cheng, Franco Wing Tak
Luo, Hao
Wong, Martin Chi Sang
Chan, Sandra Sau Man
Chan, Esther Wai Yin
Wong, Ian Chi Kei (ORCID Profile 0000-0001-8242-0014)
Lai, Francisco Tsz Tsun

Download

[img]

Version: Published Version

License: Creative Commons Attribution


Export / Share Citation


Statistics

Additional statistics for this record