Association between Proinflammatory Cytokines and Lung Cancer Risk: A Case-Cohort Study from a Community-Based Prospective Cohort

被引:0
作者
Park, Eun Young [1 ]
Park, Eunjung [2 ]
Jin, Taiyue [3 ]
Lim, Min Kyung [4 ]
Oh, Jin-Kyung [2 ]
机构
[1] Korea Univ, Coll Med, Dept Prevent Med, Seoul 02841, South Korea
[2] Natl Canc Ctr, Grad Sch Canc Sci & Policy, Dept Canc Control & Populat Hlth, Goyang 10408, South Korea
[3] Natl Canc Control Inst, Natl Canc Ctr, Div Canc Prevent, Goyang 10408, South Korea
[4] Inha Univ, Coll Med, Dept Social & Prevent Med, Incheon 22212, South Korea
关键词
lung cancer; proinflammatory cytokines; IL-6; IL-1; beta; IFN-gamma; case-cohort study; cohort; INFLAMMATION; AFRICAN;
D O I
10.3390/cancers15235695
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Recent studies have shed light on alterations to the proinflammatory tumor microenvironment as a significant carcinogenic mechanism. Despite previous studies on associations between proinflammatory cytokines and lung cancer risk, few studies have been conducted in Asian populations. This study aimed to investigate associations between proinflammatory cytokines and lung cancer risk, considering histological types, in the Korean general population. We carried out a case-cohort study on the Korean National Cancer Center Community (KNCCC) cohort (lung cancer cases: 136, subcohort: 822). Pre-diagnostic serum levels of proinflammatory cytokines (i.e., IL-6, TNF-alpha, IL-1 beta, IFN-gamma, and IL-10) were measured using Quantikine (R) ELISA. A Cox proportional-hazards regression analysis was conducted. In this study, serum levels of IL-6, IL-1 beta, and IFN-gamma were associated with lung cancer risk. IL-6 was associated with lung cancer, regardless of the histological type. IL-1 beta had an association only with adenocarcinoma, while IFN-gamma had an association only with squamous-cell carcinoma. This study shows associations between serum levels of IL-6, IL-1 beta, and IFN-gamma and lung cancer risk, underscoring the potential of these cytokines to act as risk biomarkers. The utilization of these biomarkers for risk prediction may hold the promise of facilitating the identification of the high-risk population.
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页数:11
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