Exploring risk factors for endocrine-related immune-related adverse events: Insights from meta-analysis and Mendelian randomization

Hum Vaccin Immunother. 2024 Dec 31;20(1):2410557. doi: 10.1080/21645515.2024.2410557. Epub 2024 Oct 8.

Abstract

This study utilized meta-analysis and Mendelian randomization (MR) to identify risk factors for endocrine-related immune-related adverse events (EirAEs) and to ascertain whether EirAEs confer better prognosis of immunotherapy. The meta-analysis identified several risk factors for EirAEs, including elevated baseline TSH (OR = 1.30, 95% CI 1.10-1.53), positive TgAb (OR = 14.23, p < .001), positive TPOAb (OR = 3.75, p < .001), prior thyroid-related medical history (OR = 4.19), increased BMI (OR = 1.11), combination immune checkpoint inhibitors (ICIs) therapy with targeted treatment (OR = 2.71, 95% CI 2.11-3.47), and dual ICI therapy (OR = 3.26, 95% CI 2.22-4.79). MR analysis further supported causalities between extreme BMI, hypothyroidism, and irAEs from a genetic perspective. In addition, cancer patients who experienced EirAEs exhibited significantly prolonged PFS (HR = 0.84, 95% CI 0.73-0.97) and OS (HR = 0.59, 95% CI 0.45-0.76) compared to those without. These findings provide valuable insights for clinical decision-making among healthcare professionals and offer direction for future research in this field.

Keywords: Endocrine-related immune adverse events; Mendelian analysis; immune checkpoint inhibitors; meta-analysis; risk factor.

Publication types

  • Meta-Analysis

MeSH terms

  • Drug-Related Side Effects and Adverse Reactions* / epidemiology
  • Drug-Related Side Effects and Adverse Reactions* / immunology
  • Humans
  • Immune Checkpoint Inhibitors / adverse effects
  • Immunotherapy / adverse effects
  • Immunotherapy / methods
  • Mendelian Randomization Analysis*
  • Neoplasms / drug therapy
  • Neoplasms / immunology
  • Neoplasms / mortality
  • Prognosis
  • Risk Factors

Substances

  • Immune Checkpoint Inhibitors

Grants and funding

This research was funded by the Clinical and Translational Medicine Research Program of the Chinese Academy of Medical Sciences [Project Number: 2022-I2M-C&T-A-014] and National Natural Science Foundation of China [Project Number: 8217102755].