肝功能生物标志物与肺癌风险:英国生物银行的一项前瞻性队列研究

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Clinical Respiratory Journal Pub Date : 2024-12-01 DOI:10.1111/crj.70042
Xiangyu Sun, Zeqin Guo, Yanpei Zhang, Zhuangzhuang Liu, Jingrong Xiong, Mingliang Cai, Jiale Tan, Yan Lin, Zihang Yu, Kunheng Du, Enli Lu, Xiaolin Xia
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引用次数: 0

摘要

背景:肝脏作为主要的代谢和解毒器官,可能与肺癌的发病有关。我们的目的是阐明肝功能生物标志物与肺癌风险之间的复杂联系,并描述吸烟行为在这种联系中的作用。方法:通过限制三次样条和Cox比例风险模型,研究了英国生物银行(N = 337 499)中七种肝功能生物标志物水平(碱性磷酸酶[ALP]、丙氨酸转氨酶[ALT]、总胆红素[TBIL]、白蛋白[ALB]、γ -谷氨酰转移酶[GGT]、天冬氨酸转氨酶[AST]和总蛋白[TP])与肺癌风险的关系。此外,利用孟德尔随机化(MR)来评估吸烟行为对这些生物标志物的因果影响。然后采用逐步回归方法建立吸烟者肺癌风险预测模型。结果:在中位13.3年的随访期间,发现了3003例肺癌病例。我们发现ALP水平与肺癌风险呈正相关,而ALT、TBIL、ALB和AST呈负相关;TP呈u型关系,而GGT呈镜像j型关系。这些关联在吸烟者中更为明显。MR分析表明,吸烟行为可增加ALP(比值比[OR]: 1.05)和GGT(比值比[OR]: 1.15)水平,降低TBIL(比值比:0.92)、ALB(比值比:0.92)和TP(比值比:0.96)水平。在吸烟者中纳入这些生物标志物的肺癌风险模型显示出强大的歧视。结论:我们的发现为研究肝和肺系统之间复杂的串扰以及烟草催化肺癌发生的过程提供了新的视角和证据。
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Liver Function Biomarkers and Lung Cancer Risk: A Prospective Cohort Study in the UK Biobank.

Background: As the primary organ of metabolism and detoxification, the liver may contribute to the pathogenesis of lung cancer. We aimed to illuminate the intricate link between liver function biomarkers and lung cancer risk, as well as delineate the role of smoking behavior within this association.

Methods: We investigated the associations of seven liver function biomarkers levels (alkaline phosphatase [ALP], alanine transaminase [ALT], total bilirubin [TBIL], albumin [ALB], gamma-glutamyltransferase [GGT], aspartate transaminase [AST], and total protein [TP]) with lung cancer risk across the UK Biobank (N = 337 499) through restricted cubic splines and Cox proportional hazards models. Moreover, Mendelian randomization (MR) was utilized to evaluate the causal effect of smoking behavior on these biomarkers. Then a lung cancer risk prediction model was developed among smokers by backward stepwise logistic regression.

Results: During a median follow-up of 13.3 years, 3003 lung cancer cases were identified. We found ALP levels positively associated with lung cancer risk, whereas ALT, TBIL, ALB, and AST were inversely correlated; TP exhibited a U-shaped association, whereas GGT displayed a mirrored J-shaped relationship. These associations were amplified among smokers. MR analysis indicated that smoking behavior could increase ALP (odds ratio [OR]: 1.05) and GGT (OR: 1.15) levels while decreasing TBIL (OR: 0.92), ALB (OR: 0.92), and TP (OR: 0.96) levels. The lung cancer risk model incorporating these biomarkers in smokers demonstrated robust discrimination.

Conclusion: Our finding provides perspectives and evidences towards the intricate crosstalk between the hepatic and pulmonary systems, as well as the processes through which tobacco catalyzes lung carcinogenesis.

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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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