4.6 Review

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

Journal

CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
Volume 157, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.critrevonc.2020.103177

Keywords

Cancer; Cytokines; Inflammatory markers; Observational studies; Systematic review

Funding

  1. Research Foundation-Flanders [FWO 12H1519N]

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This study conducts a systematic review and meta-analysis to explore the association between chronic inflammation and cancer incidence. It finds that specific inflammatory markers like CRP, fibrinogen, and IL6 are related to certain cancer types such as breast, colorectal, and lung cancer. Improvements in study quality could be made by verifying inflammatory status, adjusting for confounders, and ensuring long-term follow-up.
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.

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