Work

The effect of body mass index and total cholesterol levels on histopathological grading in breast cancer patients

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Breast cancer is the most common cancer between females globally with many involving risk factors. There are increasing evidences about the role of obesity, which is usually assessed using body mass index (BMI), and hypercholesterolemia in breast cancer development through different mechanisms including the interplay with the immune response. The histopathological grading, which reflects the degree of differentiation, could be used to determine the aggressiveness of breast cancer. Limited studies assessed the correlation between the previous factors and histopathological grading in breast cancer patients and they concluded controversial results. Objective: We aimed to investigate the correlation of BMI and total cholesterol levels with histopathological grading in breast cancer patients with regard to menopausal status. Methods: Total cholesterol was measured using Qimica kit/Spain and data were analyzed using suitable statistical tests. P-value<0.05 was considered as statistically significant. Results: We found a significant relationship between BMI and tumor grading (P = 0.008). The correlation was observed in postmenopausal patients (P = 0.01) with no correlation in premenopausal patients (P = 0.32). Also, there was a significant correlation between total cholesterol and tumor grading (P = 0.003) only in postmenopausal patients (P = 0.011) with no correlation in premenopausal patients (P = 0.32). Conclusions: There is a significant relationship of histopathological grading with both BMI and total cholesterol levels in postmenopausal breast cancer patients. Further studies with larger samples are needed to evaluate the role of those factors in breast cancer progression and aggressiveness and their effects on immunotherapy tolerance and response.
Authors: Razan Hasan, Nader Abdalla, Maram Bilal
Institution: Latakia University
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: gold
Estimated APC paid: $1,850
OpenAlex ID: W4410864239
FWCI: 0.373
Cites: 26
Cited by: 1
Related to: 10