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循环白细胞特征、趋化因子与小细胞肺癌风险:一项孟德尔随机化研究

Circulating white blood cell traits, chemokines and small cell lung cancer risk: a Mendelian randomization study.

作者信息

Zhu Huizhong, Wang Chenyang, Ma Teng

机构信息

Department of Critical Care Medicine, Changzhi Medical College Affiliated Heji Hospital, Changzhi, China.

Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.

出版信息

Transl Cancer Res. 2025 Feb 28;14(2):1205-1213. doi: 10.21037/tcr-24-1211. Epub 2025 Feb 21.

Abstract

BACKGROUND

Small cell lung cancer (SCLC) commonly originates in the context of persistent inflammation. The impact of white blood cell (WBC) counts and the presence of infiltrating inflammatory cytokines in relation to tumor initiation, progression, and treatment response in SCLC remains uncertain. To elucidate the potential relationships of circulating WBCs and chemokines with SCLC, we conducted a univariable (UVMR) and multivariable Mendelian randomization (MVMR) study.

METHODS

We conducted a two-sample Mendelian randomization (MR) investigation to evaluate the causal impact of circulating WBCs and chemokines on the risk of SCLC. The genetic data for SCLC were derived from a genome-wide association study (GWAS) involving 24,108 participants, including 2,664 cases and 21,444 controls of European ancestry. The genetic variances of circulating WBCs and chemokines were also from GWAS. In the analysis of UVMR, the primary method employed was the inverse variance weighted (IVW) method. To infer causality, robust adjusted profile scores, weighted median (WM), and MR Egger were employed as supplementary methods. To ensure the robustness of the MR results, sensitivity analyses, including the Cochran test, Egger intercept test, and leave-one-out analysis, were conducted. Furthermore, MVMR was carried out to assess the direct causal effects of WBCs and chemokines on the risk of SCLC.

RESULTS

Using two-sample MR, we found that genetic predisposition to CD45RA CD8 T cell, CD39 CD4 T cell, chemokine (C-X-C motif) ligand 16 (CXCL16) was associated with an increased risk of SCLC. There were suggestive inverse associations of genetically predicted dendritic cell, CD14 CD16 monocyte, P-selectin glycoprotein ligand 1 (PSGL-1) and C-C motif chemokine ligand 3 (CCL3) with SCLC risk. MVMR further confirmed that CXCL16 exerted a direct effect on SCLC, while CD14 CD16 monocyte and PSGL-1 indicated that they are protective in SCLC.

CONCLUSIONS

Using two-sample MR, we found that genetic predisposition to CD45RA CD8 T cell, CD39 CD4 T cell, CXCL16 was associated with an increased risk of SCLC. There were suggestive inverse associations of genetically predicted dendritic cell, CD14 CD16 monocyte, PSGL-1 and CCL3 with SCLC risk. MVMR further confirmed that CXCL16 exerted a direct effect on SCLC, while CD14 CD16 monocyte and PSGL-1 indicated that they are protective in SCLC.

摘要

背景

小细胞肺癌(SCLC)通常在持续性炎症的背景下发生。白细胞(WBC)计数以及浸润性炎症细胞因子的存在对SCLC肿瘤发生、进展和治疗反应的影响仍不确定。为了阐明循环白细胞和趋化因子与SCLC之间的潜在关系,我们进行了单变量(UVMR)和多变量孟德尔随机化(MVMR)研究。

方法

我们进行了一项两样本孟德尔随机化(MR)调查,以评估循环白细胞和趋化因子对SCLC风险的因果影响。SCLC的基因数据来自一项全基因组关联研究(GWAS),该研究涉及24108名参与者,包括2664例病例和21444例欧洲血统的对照。循环白细胞和趋化因子的基因变异也来自GWAS。在UVMR分析中,采用的主要方法是逆方差加权(IVW)法。为了推断因果关系,稳健调整轮廓得分、加权中位数(WM)和MR-Egger被用作补充方法。为确保MR结果的稳健性,进行了敏感性分析,包括 Cochr an检验、Egger截距检验和留一法分析。此外,进行了MVMR以评估白细胞和趋化因子对SCLC风险的直接因果效应。

结果

使用两样本MR,我们发现CD45RA CD8 T细胞、CD39 CD4 T细胞、趋化因子(C-X-C基序)配体16(CXCL16)的遗传易感性与SCLC风险增加相关。遗传预测的树突状细胞、CD14 CD16单核细胞、P-选择素糖蛋白配体1(PSGL-1)和C-C基序趋化因子配体3(CCL3)与SCLC风险之间存在提示性的负相关。MVMR进一步证实CXCL16对SCLC有直接影响,而CD14 CD16单核细胞和PSGL-1表明它们对SCLC具有保护作用。

结论

使用两样本MR,我们发现CD45RA CD8 T细胞、CD39 CD4 T细胞、CXCL16的遗传易感性与SCLC风险增加相关。遗传预测的树突状细胞、CD14 CD16单核细胞、PSGL-1和CCL3与SCLC风险之间存在提示性的负相关。MVMR进一步证实CXCL16对SCLC有直接影响,而CD14 CD16单核细胞和PSGL-1表明它们对SCLC具有保护作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2039/11912050/9efb9c48b1c2/tcr-14-02-1205-f1.jpg

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