常规血/尿生化指标与胰腺癌风险因果关联的孟德尔随机化分析
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1中南大学湘雅三医院 肝胆外科,湖南 长沙 410013;2中南大学湘雅三医院 手术中心,湖南 长沙 410013;3湖南省湘潭市第二人民医院 消化内科, 湖南 湘潭 411100;4中南大学湘雅三医院 麻醉科,湖南 长沙 410013

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贺逸嘉,中南大学湘雅三医院本科生,主要从事胰腺癌基础方面的研究。

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Routine blood and urine biochemical biomarkers in relation to pancreatic cancer risk: a Mendelian randomization analysis
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1Department of Hepatobiliary Surgery, the Third Xiangya Hospital, Central South University, Changsha 410013, China;2Surgical Center, the Third Xiangya Hospital, Central South University, Changsha 410013, China;3Department of Gastroenterology, the Second People's Hospital of Xiangtan, Xiangtan, Hunan 411100, China;4Department of Anesthesiology, the Third Xiangya Hospital, Central South University, Changsha 410013, China

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    摘要:

    背景与目的 胰腺癌(PC)早期诊断困难,现有标志物(如CA19-9)难以满足人群筛查需求。常规血/尿生化指标具备可及性强、可重复检测等优势,但其与PC风险的因果关系尚不明确。本研究基于两样本孟德尔随机化(MR)方法,系统评估35项常规生化指标与PC风险的潜在因果关联。方法 暴露数据来源于英国生物样本库(UK Biobank)相关GWAS汇总数据,结局数据来自FinnGen R12数据库。以逆方差加权法(IVW)为主要分析方法,并结合MR-Egger、加权中位数及加权模式方法进行验证,同时开展异质性、多效性及稳健性分析。结果 MR分析显示,肾功能相关指标与PC风险存在稳定因果关联:遗传预测的血肌酐每升高1个标准差,PC风险增加18%(OR=1.18,95% CI=1.03~1.36,P=0.019);估算肾小球滤过率(eGFR)每升高1个标准差,PC风险降低17%(OR=0.83,95% CI=0.72~0.97,P=0.016)。多种敏感性分析结果一致,未发现显著异质性或水平多效性。结论 本研究提供了肾功能相关指标与PC风险之间的遗传学因果证据,提示“肾功能轴”可能参与PC发生发展。血肌酐与eGFR有望作为PC风险分层及早期识别的潜在宿主标志物,仍需进一步机制研究与前瞻性验证。

    Abstract:

    Background and Aims Early detection of pancreatic cancer (PC) remains challenging, and conventional biomarkers such as CA19-9 are inadequate for population screening. Routine blood and urine biochemical markers are widely accessible and reflect systemic physiological status; however, their causal relationships with PC risk remain unclear. Therefore, this study aimed to systematically evaluate the potential causal associations between 35 routine biochemical biomarkers and pancreatic cancer risk using a two-sample Mendelian randomization (MR) framework.Methods A two-sample MR study was conducted using genome-wide association study (GWAS) summary data from the UK Biobank for 35 biochemical traits. Outcome data for PC were obtained from the FinnGen consortium (release R12). The inverse-variance weighted (IVW) method was used as the primary analysis, complemented by MR-Egger, weighted median, and weighted mode approaches. Sensitivity analyses were performed to assess robustness.Results Two kidney function-related traits showed consistent causal associations with PC risk. Genetically predicted higher serum creatinine levels were associated with an 18% increased risk of PC per 1-standard deviation increment (OR=1.18, 95% CI=1.03-1.36, P=0.019), whereas higher estimated glomerular filtration rate (eGFR) was associated with a 17% reduced risk (OR=0.83, 95% CI=0.72-0.97, P=0.016). Sensitivity analyses supported the robustness of these findings, with no evidence of substantial heterogeneity or horizontal pleiotropy.Conclusions This MR study provides genetic evidence supporting a potential causal role of kidney function-related pathways in pancreatic cancer. Serum creatinine and eGFR may serve as promising host-related biomarkers for risk stratification and early detection, warranting further mechanistic and prospective validation.

    图1 常规血/尿生化标志物与PC的MR分析结果 A:35项生物标志物在四种MR估计方法(IVW、MR-Egger、加权中位数、加权模式)下的结果热图;B:肌酐与eGFR与PC风险因果关联的森林图(结果以IVW为准,并标示了工具变量数量与统计学显著性)Fig.1 Mendelian randomization results of routine blood and urine biochemical biomarkers and pancreatic cancer risk A: Heatmap of MR estimates for 35 biomarkers across four methods (IVW, MR-Egger, weighted median, weighted mode); B: Forest plot showing causal associations of creatinine and eGFR with pancreatic cancer risk (based on IVW estimates, with number of instrumental variables and statistical significance indicated)
    图2 肌酐与估算eGFR因果关联的稳健性验证 A-B:肌酐与 eGFR的漏斗图均呈现大致对称分布,提示无明显水平多效性;C-D:肌酐与 eGFR的散点图显示,不同MR方法的回归线斜率相近且均指向同一方向,印证了主分析结果的稳健性Fig.2 Robustness assessment of causal associations for creatinine and eGFR A-B: Funnel plots showing symmetric distribution, suggesting no substantial horizontal pleiotropy; C-D: Scatter plots demonstrating consistent slopes across different MR methods, supporting robustness of the main findings
    表 1 敏感性分析结果Table 1 Results of sensitivity analysis
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贺逸嘉,刘雍容,张欣,吴可柯.常规血/尿生化指标与胰腺癌风险因果关联的孟德尔随机化分析[J].中国普通外科杂志,2026,35(2):343-349.
DOI:10.7659/j. issn.1005-6947.250598

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  • 收稿日期:2025-10-29
  • 最后修改日期:2026-02-18
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  • 在线发布日期: 2026-04-09