Association between blood cholesterol profile and risk of lung cancer: A meta-analysis of prospective cohort studies
A partir d'une revue systématique de la littérature publiée entre 2005 et 2024 (13 études, 24 842 patients), cette méta-analyse évalue l'association entre les taux de cholestérol total, de cholestérol HDL, de cholestérol LDL et le risque de cancer du poumon
Research findings on the relationship between blood cholesterol levels and lung cancer (LC) risk have been inconsistent, leading to inconclusive evidence regarding a definitive association. The present meta-analysis aimed to comprehensively assess the association of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) with the risk of LC, taking into consideration all relevant prospective cohort studies. Three databases (PubMed, Scopus, and Web of Science) were systematically searched from January 2005 to Dec 2024 to identify potentially relevant articles. This meta-analysis included articles reporting the hazard ratio (HR) with a 95 % confidence interval (CI) for the highest vs. lowest categories of at least one blood cholesterol component (TC, HDL-C, or LDL-C) or sufficient data to calculate the same in relation to the risk of LC. Based on the eligibility criteria, a total of 13 prospective cohort studies involving 2,718,010 individuals and 24,842 LC cases were included. The main analysis revealed a significant inverse association between HDL-C and the risk of LC (pooled HR = 0.83, 95 % CI: 0.74–0.92). No statistically significant associations were observed for TC or LDL-C in relation to LC risk. In conclusion, higher HDL-C levels appear to be significantly associated with a lower risk of LC, whereas no significant associations is evident for TC or LDL-C. Maintaining healthy HDL-C levels through a balanced diet and regular exercise may help reduce LC incidence. Nonetheless, further large-scale prospective studies with adequate adjustment for confounding and preclinical bias are warranted to ascertain the potential causality.
Cancer Epidemiology , résumé, 2025