Sun Tonglin, Chen Sheng, Liu Zhengyi, Hu Yuxiang, Sun Yinhui, Wang Lihuai
Department of Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, P.R. China.
Medical College, Hunan University of Chinese Medicine (Pathophysiology), Changsha, Hunan Province, P.R. China.
Medicine (Baltimore). 2025 Apr 4;104(14):e42053. doi: 10.1097/MD.0000000000042053.
Lung cancer ranks highest in annual mortality among all cancers, and blood metabolites may influence its onset and progression. Our objective is to assess the causal relationships between blood metabolites and both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), while exploring the mediating effects of immune cells. We utilized publicly available genetic data to investigate the potential causal relationships between blood metabolites and NSCLC as well as SCLC using a 2-sample Mendelian randomization (MR) approach. In our primary analysis, we employed the inverse variance weighted (IVW) method and conducted sensitivity analyses and Steiger test to assess the reliability and directionality of the causal relationships. Additionally, we employed a 2-step MR approach to evaluate the mediating role of immune cells in these causal relationships. The IVW method revealed that palmitoylcarnitine levels (metabolon platform) and 4 other blood metabolites are risk factors for NSCLC, while tetrahydrocortisol glucuronide levels and 2 other blood metabolites are protective factors for NSCLC. Additionally, Alpha-hydroxyisovalerate levels and 8 other blood metabolites are risk factors for SCLC, whereas dimethylglycine levels and 3 other blood metabolites are protective factors for SCLC. Furthermore, IgD- CD27- B cell %B cell, CD27 on IgD- CD38dim B cell, and CD3 on Naive CD4+ T cell mediate some of the relationships between blood metabolites and NSCLC. Activated and secreting CD4 regulatory T cell %CD4+ T cell, CD14- CD16- Absolute Count, and IgD on IgD+ CD24+ B cell mediate some of the relationships between blood metabolites and SCLC. There are significant causal relationships between blood metabolites and both NSCLC and SCLC, with some of these relationships mediated by immune cells. This aids us in influencing the role of blood metabolites in lung cancer by intervening with immune cells, thereby providing more avenues for the prevention and treatment of lung cancer.
肺癌在所有癌症的年度死亡率中排名最高,血液代谢物可能会影响其发病和进展。我们的目标是评估血液代谢物与非小细胞肺癌(NSCLC)和小细胞肺癌(SCLC)之间的因果关系,同时探索免疫细胞的中介作用。我们利用公开可用的基因数据,采用两样本孟德尔随机化(MR)方法研究血液代谢物与NSCLC以及SCLC之间的潜在因果关系。在我们的初步分析中,我们采用逆方差加权(IVW)方法,并进行敏感性分析和斯泰格检验,以评估因果关系的可靠性和方向性。此外,我们采用两步MR方法来评估免疫细胞在这些因果关系中的中介作用。IVW方法显示,棕榈酰肉碱水平(代谢组平台)和其他4种血液代谢物是NSCLC的危险因素,而四氢皮质醇葡萄糖醛酸水平和其他2种血液代谢物是NSCLC的保护因素。此外,α-羟基异戊酸水平和其他8种血液代谢物是SCLC的危险因素,而二甲基甘氨酸水平和其他3种血液代谢物是SCLC的保护因素。此外,IgD-CD27-B细胞%B细胞、IgD-CD38dim B细胞上的CD27以及初始CD4+T细胞上的CD3介导了血液代谢物与NSCLC之间的一些关系。活化分泌型CD4调节性T细胞%CD4+T细胞、CD14-CD16-绝对计数以及IgD+CD24+B细胞上的IgD介导了血液代谢物与SCLC之间的一些关系。血液代谢物与NSCLC和SCLC之间均存在显著的因果关系,其中一些关系由免疫细胞介导。这有助于我们通过干预免疫细胞来影响血液代谢物在肺癌中的作用,从而为肺癌的预防和治疗提供更多途径。