Research progress on mechanisms and animal models of comorbid depression and tumors
10.3969/j.issn.1005-4847.2025.09.014
- VernacularTitle:抑郁与肿瘤共病机制及动物模型研究进展
- Author:
Yakun REN
1
;
Xinpei WANG
1
;
Xingjiu YANG
1
;
Mengyuan LI
1
;
Ran GAO
1
Author Information
1. 呼吸和共病全国重点实验室,国家人类疾病动物模型资源库,国家动物模型技术创新中心,国家卫生健康委员会比较医学重点实验室,中国医学科学院医学实验动物研究所北京协和医学院比较医学中心,北京 100021
- Publication Type:Journal Article
- Keywords:
depression and tumor comorbidity;
comorbid animal model;
neuroendocrine;
tumor microenvironment
- From:
Acta Laboratorium Animalis Scientia Sinica
2025;33(9):1393-1402
- CountryChina
- Language:Chinese
-
Abstract:
The comorbidity of depression and cancer represents a significant global public health challenge,severely impacting patients' quality of life and clinical outcomes.This systematic review considers the epidemiological characteristics,clinical implications,and major challenges in current research regarding comorbid depression and cancer,focusing on the role of depression in promoting tumor progression and suppressing immune function via the neuroendocrine-immune regulatory network.We discuss the dynamic changes and interaction mechanisms of depression-related neurotransmitters(such as serotonin and norepinephrine)and stress hormones(such as cortisol)within the tumor microenvironment.We also reveal the molecular mechanisms by which depression regulates malignant biological behaviors such as tumor immune evasion,metastasis,and angiogenesis via activation of the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system.This review also evaluates the application value and limitations of existing animal models for studying the mechanisms underlying the comorbidity of depression and cancer,emphasizing the importance and urgency of developing more precise comorbidity models to uncover the mechanisms and explore management strategies.This review aims to raise awareness of risk prediction,clinical interventions,and basic research on the comorbidity of depression and cancer,to provide a theoretical foundation and new research directions for developing depression-cancer comorbidity models.
