Observational and Mendelian randomization (MR) studies have established links between
dyslipidemia and select
cancer susceptibilities. However, there is a lack of comprehensive exploration of causal relationships spanning diverse
cancer types. Here, we conducted a two-sample MR analysis to elucidate the causative connections between 9 blood
lipid metabolic profiles (namely,
adiponectin,
leptin,
lipoprotein A,
apolipoprotein A1,
apolipoprotein B,
cholesterol,
triglycerides,
LDL-cholesterol, and
HDL-cholesterol) and 21 site-specific
cancer risks. Our findings reveal genetically predicted
adiponectin levels to be associated with a reduced
ovarian cancer risk, while genetically determined
leptin increases
bladder cancer risk but decreases
prostate cancer risk.
Lipoprotein A elevates risk of
prostate cancer while diminishing risk of
endometrial cancer, while
apolipoprotein A1 heightens risks of breast and
cervical cancers. Furthermore, elevated levels of
cholesterol are positively correlated with
kidney cancer, and
triglycerides demonstrate a positive association with non-
melanoma skin cancer but a negative association with
breast cancer. Protective effects of genetically predicted
LDL-cholesterol on
endometrial cancer and adverse effects of
HDL-cholesterol on
breast cancer are also observed. Our study conclusively establishes that blood
lipid metabolic profiles exert causal effects on
cancer susceptibility, providing more robust evidence for
cancer prevention and prompting contemplation regarding the future health of the human populace.