Chen Yangyang, Zhong Dongdong
Obstetrics and Gynecology Department, The People's Hospital of Pingyang, WenZhou, 325400, China.
Discov Oncol. 2025 Apr 29;16(1):635. doi: 10.1007/s12672-025-02455-w.
Cervical cancer is still a major public health problem, and understanding the complex interplays in the tumor microenvironment is essential to implementing better clinical outcome measures. In this study, we used a Mendelian Randomization-based strategy to assess the causal roles of immune cell composition and disease prognosis in cervical cancer.
The authors employed genetic natural experiments to measure the relationship between monocyte absolute counts, CD4-CD8-T cell ratios, and CD24 levels on memory B cells and indicators of cervical cancer prognosis.
Mendelian Randomization analysis showed that higher monocyte absolute counts were associated with a better prognosis, implying a protective role of these cells. In contrast, compared to individuals with good prognosis, high CD4-CD8-T cell ratios and low CD24 expression on memory B cells associated with bad prognosis suggest a risk-promoting role of these immune cell subsets. These observations were also further supported by additional analyses, such as scatter plots and linear regression models, which revealed further nuances in the intricate relationship between the immune microenvironment and the disease.
Our study utilizing the Mendelian Randomization approach provides novel insights into the causal relationships between the immune microenvironment of cervical cancer and its prognosis. The identified immune cell markers (monocyte counts, T cell ratios) have the potential to serve as prognostic biomarkers and to inform the design of targeted immunotherapeutic approaches in cervical cancer.
宫颈癌仍然是一个重大的公共卫生问题，了解肿瘤微环境中的复杂相互作用对于实施更好的临床结局指标至关重要。在本研究中，我们采用基于孟德尔随机化的策略来评估免疫细胞组成与宫颈癌疾病预后之间的因果关系。
作者采用基因自然实验来测量单核细胞绝对计数、CD4-CD8-T细胞比率以及记忆B细胞上的CD24水平与宫颈癌预后指标之间的关系。
孟德尔随机化分析表明，较高的单核细胞绝对计数与较好的预后相关，这意味着这些细胞具有保护作用。相比之下，与预后良好的个体相比，记忆B细胞上高CD4-CD8-T细胞比率和低CD24表达与不良预后相关，这表明这些免疫细胞亚群具有促进风险的作用。散点图和线性回归模型等额外分析也进一步支持了这些观察结果，这些分析揭示了免疫微环境与疾病之间复杂关系中的更多细微差别。
我们利用孟德尔随机化方法的研究为宫颈癌免疫微环境与其预后之间的因果关系提供了新的见解。确定的免疫细胞标志物（单核细胞计数、T细胞比率）有可能作为预后生物标志物，并为宫颈癌靶向免疫治疗方法的设计提供信息。
