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Positive association between apolipoprotein B and colorectal cancer risk: Findings from a 14-year follow-up cohort
Xiaoyi Lin1, Jiao Wang2, Weisen Zhang3
1School of Public Health, Sun Yat-sen University, Guangzhou 510080, China (Lin, Dr Wang, and Dr Xu); Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, United Kingdom (Lin, Dr Cheng, and Dr Xu).
Background:
The effects of lipid traits on colorectal cancer (CRC) risk and the extent to which obesity may modify these effects remain unclear.
Objective:
To examine the associations between lipid traits and CRC risk using an observational study and Mendelian randomization (MR) analyses, and the role of weight status in the potential associations.
Methods:
In the Guangzhou Biobank Cohort Study (GBCS), lipid profiles were measured during 2003-2008, and CRC events were identified through record linkage with the cancer registry. MR analyses assessed the causal effects of lipid traits on CRC using a genome-wide association study meta-analysis of 185,616 Europeans.
Results:
Among 28,576 GBCS participants followed until 2020, 599 CRC events occurred. Participants in the highest quartile of apolipoprotein B (apoB) had a higher CRC risk (hazard ratio [HR] 1.43, 95% CI 1.02-2.01). This association remained in those with overweight/obesity (HR 2.21, 95% CI 1.28-3.83). MR analyses supported a detrimental effect of apoB on CRC (odds ratio 1.12 per 1 SD, 95% CI 1.02-1.22). MR analyses also showed positive associations for total cholesterol and the apoB/apolipoprotein A-I ratio, which were not significant in the observational study.
Conclusion:
Higher apoB levels were associated with an increased CRC risk in both observational and MR analyses, suggesting a potential role of apoB in CRC prevention, especially among participants with overweight/obesity. However, the limitations of single-time lipid measurements and the use of different ancestries across study designs indicate the need for further research to confirm the robustness and generalizability of the findings.
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