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慢性炎症与癌症发病率:流行病学研究的系统评价和荟萃分析

Chronic inflammation towards cancer incidence: A systematic review and meta-analysis of epidemiological studies.

作者信息

Michels Nathalie, van Aart Carola, Morisse Jens, Mullee Amy, Huybrechts Inge

机构信息

Department of Public Health and Primary Care, Ghent University, Belgium.

Department of Public Health and Primary Care, Ghent University, Belgium.

出版信息

Crit Rev Oncol Hematol. 2021 Jan;157:103177. doi: 10.1016/j.critrevonc.2020.103177. Epub 2020 Nov 13.

Abstract

This systematic review and meta-analysis provides epidemiological data on the relationship between chronic inflammation, as measured by inflammatory blood parameters, and cancer incidence. Two independent researchers searched PubMed, Web Of Science and Embase databases until October 2020. In vitro studies, animal studies, studies with chronically-ill subjects or cross-sectional studies were excluded. Quality was assessed with the Newcastle-Ottawa scale. The 59 nested case-control, 6 nested case-cohort and 42 prospective cohort studies considered 119 different inflammatory markers (top three: CRP, fibrinogen and IL6) and 26 cancer types (top five: colorectal, lung, breast, overall and prostate cancer). Nineteen meta-analyses resulted in ten significant positive associations: CRP-breast (OR = 1.23[1.05-1.43];HR = 1.14[1.01-1.28)), CRP-colorectal (OR = 1.34[1.11-1.60]), CRP-lung (HR = 2.03[1.59-2.60]), fibrinogen-lung (OR = 2.56[1.86-3.54]), IL6-lung (OR = 1.41[1.12-1.78]), CRP-ovarian (OR = 1.41[1.10-1.80]), CRP-prostate (HR = 1.09[1.03-1.15]), CRP-overall (HR = 1.35[1.16-1.57]) and fibrinogen-overall (OR = 1.22[1.07-1.39]). Study quality improvements can be done by better verification of inflammatory status (more than one baseline measurement of one parameter), adjusting for important confounders and ensuring long-term follow-up.

摘要

本系统评价和荟萃分析提供了关于炎症血液参数所衡量的慢性炎症与癌症发病率之间关系的流行病学数据。两名独立研究人员检索了截至2020年10月的PubMed、科学网和Embase数据库。排除了体外研究、动物研究、慢性病患者研究或横断面研究。采用纽卡斯尔-渥太华量表评估质量。59项巢式病例对照研究、6项巢式病例队列研究和42项前瞻性队列研究纳入了119种不同的炎症标志物(排名前三的是CRP、纤维蛋白原和IL6)以及26种癌症类型(排名前五的是结直肠癌、肺癌、乳腺癌、总体癌症和前列腺癌)。19项荟萃分析得出了10个显著的正相关关系:CRP与乳腺癌(OR = 1.23[1.05 - 1.43];HR = 1.14[1.01 - 1.28])、CRP与结直肠癌(OR = 1.34[1.11 - 1.60])、CRP与肺癌(HR = 2.03[1.59 - 2.60])、纤维蛋白原与肺癌(OR = 2.56[1.86 - 3.54])、IL6与肺癌(OR = 1.41[1.12 - 1.78])、CRP与卵巢癌(OR = 1.41[1.10 - 1.80])、CRP与前列腺癌(HR = 1.09[1.03 - 1.15])、CRP与总体癌症(HR = 1.35[1.16 - 1.57])以及纤维蛋白原与总体癌症(OR = 1.22[1.07 - 1.39])。可以通过更好地验证炎症状态(对一个参数进行不止一次的基线测量)来改进研究质量,调整重要的混杂因素并确保长期随访。

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