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A cross-sectional study of serum lipids, body mass index and age relationships with breast cancer risk

World J Surg Oncol. 2025 Apr 26;23(1):168. doi: 10.1186/s12957-025-03817-y.

ABSTRACT

BACKGROUND: Globally, the most common malignancy in women today is breast cancer. Numerous factors affect the incidence of breast cancer; therefore, we examined the connections involving age, body mass index (BMI), serum lipid levels, and breast cancer risk in women.

METHODS: This was a cross-sectional analytical study. 382 female patients with a breast cancer diagnosis in this study, and 11842 healthy, age-matched females who were selected from physical examination centers in the same period. Univariate analysis was conducted first, after which factors with statistically significant differences were used to construct a multi-factor binary logistic regression equation. We explored associations across different ages, BMI, triglyceride (TG), and high-density lipoprotein-cholesterol (HDL-C) levels, and breast cancer risk.

RESULTS: Age, BMI, TG, and HDL-C were the risk factors that showed the most significant association with breast cancer. Age, BMI, low-density lipoprotein-cholesterol (LDL-C) and TG levels in the breast cancer group were higher than those in the control group, but HDL-C and total cholesterol (TC) levels were lower. As BMI and TG levels increased, the risk of developing breast cancer increased, and, as HDL-C levels decreased, the risk of developing breast cancer increased. Women aged ≥ 40 years old had an increased breast cancer risk. There were no significant variations in TC and LDL-C levels between groups.

CONCLUSIONS: In this study, a lower risk of breast cancer was linked to high HDL-C levels, while a higher risk of breast cancer was linked to high BMI and TG levels. Women aged ≥ 40 years old had an increased breast cancer risk.

PMID:40287713 | DOI:10.1186/s12957-025-03817-y

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