已发表论文

常见镇痛药对乳腺癌风险及生存结局的差异因果效应:基于孟德尔随机化的证据

 

Authors Peng Z, Liu Z, Wang G

Received 27 June 2025

Accepted for publication 10 November 2025

Published 9 December 2025 Volume 2025:17 Pages 5287—5301

DOI https://doi.org/10.2147/IJWH.S550159

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Elie Al-Chaer

Zhan Peng,* Zhuobin Liu, Guangye Wang* 

Department of Spinal Surgery, Shenzhen Baoan District People’s Hospital, the Second Affiliated Hospital of Shenzhen University, Shenzhen, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Zhan Peng, Department of Spinal Surgery, Shenzhen Baoan District People’s Hospital, No. 118, Longjing Two Road, Xinan Street, Shenzhen, 518101, People’s Republic of China, Email 819567092@qq.com Guangye Wang, Department of Spinal Surgery, Shenzhen Baoan District People’s Hospital, No. 118, Longjing Two Road, Xinan Street, Shenzhen, 518101, People’s Republic of China, Email szbayyjzwk2018@163.com

Background: The causal effects of widely used analgesics—paracetamol(acetaminophen), aspirin (acetylsalicylic acid), and ibuprofen—on breast cancer risk and survival remain uncertain. This Mendelian randomization (MR) study investigated their causal relationships with breast cancer incidence, mortality, and estrogen receptor (ER)-subtype heterogeneity.
Methods: Using two-sample MR, genetic instruments for analgesic use were derived from UK Biobank GWAS (N=457,547). Outcome data included breast cancer incidence (122,977 cases/105,974 controls), ER-subtypes (ER+: 69,501 cases; ER−: 21,468 cases), and survival statistics. Inverse-variance weighted (IVW) analyses were primary, supplemented by MR-Egger, weighted median/mode, and sensitivity analyses (MR-PRESSO, leave-one-out). Bidirectional MR assessed reverse causation.
Results: Genetically predicted paracetamol use increased overall breast cancer risk (IVW OR=3.26, 95% CI:1.60– 6.63, pFDR=0.005) and ER+ subtype risk (OR=3.65, 1.79– 7.45, pFDR=0.003). Aspirin use showed no association with incidence but improved overall survival (HR=0.0036, 0.0001– 0.1218, pFDR=0.016). Ibuprofen demonstrated no significant associations with risk or survival. Subtype-specific survival analyses were null. No reverse causation was detected (all p > 0.05). Sensitivity analyses confirmed robustness, with minimal pleiotropy (MR-Egger intercept p > 0.05) and consistent effects after outlier correction.
Conclusion: This MR study links a genetic predisposition to paracetamol use with increased breast cancer risk (especially ER+), and to aspirin use with improved survival. These divergent findings point to drug-specific mechanisms, warranting caution with long-term paracetamol use and further study of aspirin’s therapeutic potential. Clinical decisions should balance analgesic benefits against these potential cancer-related outcomes.

Keywords: breast cancer, paracetamol, aspirin, ibuprofen, Mendelian randomization, nonsteroidal anti-inflammatory drugs, pharmacoepidemiology