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<p>Taxane drugs are essential chemotherapeutic agents in the clinical management of various solid tumors; however, their associated psychiatric adverse effects and underlying mechanisms remain insufficiently explored. This study aims to assess the association between taxane drugs and psychiatric adverse events (pAEs) and to investigate their potential biological mechanisms. The association between taxane drugs and pAEs was analyzed using the reporting odds ratio (ROR) method based on data from the Food and Drug Administration Adverse Event Reporting System (FAERS) (2013–2023) and the World Health Organization’s global pharmacovigilance database (Vigibase database). Tumor-bearing mouse models treated with taxane drugs were developed, and RNA sequencing was conducted to examine the underlying molecular mechanisms. Single-sample gene set enrichment analysis (ssGSEA) was performed to evaluate the activity of relevant pathways. A total of 10,132 cases and 10,525 cases of pAEs associated with taxane drugs were identified in the FAERS and Vigibase databases, respectively. Nine significant taxane-related psychiatric adverse events (TX-related pAEs) were identified, with emotional distress showing the strongest signal. Subgroup analysis indicated that women (ROR<sub>FAERS</sub> = 15.244), individuals younger than 45 years (ROR<sub>FAERS</sub> = 17.849), and breast cancer patients exhibited a higher risk. Mechanistic studies revealed four significantly associated signaling pathways: cobalamin metabolic process, regulation of response to oxidative stress, G protein-coupled receptor signaling, and nitric oxide-mediated signal transduction. This study is the first to systematically assess taxane drug-associated pAEs, elucidating the characteristics of high-risk populations and underlying molecular mechanisms, thereby offering valuable insights for clinical drug safety and personalized treatment.</p>

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Mechanistic insights into taxane-induced psychiatric adverse events: a global pharmacovigilance and experimental investigation

  • 期刊论文

  • 发表日期：

    2025年9月16日

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  • Anqi Lin,
  • Yiyin Mai,
  • Guichuan Lai,
  • Zhengrui Li,
  • Junyi Shen,
  • Hank Z. H. Wong,
  • Nan Zhang,
  • Jian Zhang,
  • Kailai Li,
  • Quan Cheng,
  • Bicheng Ye,
  • Aimin Jiang,
  • Peng Luo,
  • Guiqing Jia,
  • Qunqing Chen

摘要

Taxane drugs are essential chemotherapeutic agents in the clinical management of various solid tumors; however, their associated psychiatric adverse effects and underlying mechanisms remain insufficiently explored. This study aims to assess the association between taxane drugs and psychiatric adverse events (pAEs) and to investigate their potential biological mechanisms. The association between taxane drugs and pAEs was analyzed using the reporting odds ratio (ROR) method based on data from the Food and Drug Administration Adverse Event Reporting System (FAERS) (2013–2023) and the World Health Organization’s global pharmacovigilance database (Vigibase database). Tumor-bearing mouse models treated with taxane drugs were developed, and RNA sequencing was conducted to examine the underlying molecular mechanisms. Single-sample gene set enrichment analysis (ssGSEA) was performed to evaluate the activity of relevant pathways. A total of 10,132 cases and 10,525 cases of pAEs associated with taxane drugs were identified in the FAERS and Vigibase databases, respectively. Nine significant taxane-related psychiatric adverse events (TX-related pAEs) were identified, with emotional distress showing the strongest signal. Subgroup analysis indicated that women (RORFAERS = 15.244), individuals younger than 45 years (RORFAERS = 17.849), and breast cancer patients exhibited a higher risk. Mechanistic studies revealed four significantly associated signaling pathways: cobalamin metabolic process, regulation of response to oxidative stress, G protein-coupled receptor signaling, and nitric oxide-mediated signal transduction. This study is the first to systematically assess taxane drug-associated pAEs, elucidating the characteristics of high-risk populations and underlying molecular mechanisms, thereby offering valuable insights for clinical drug safety and personalized treatment.