Value of MRI in the prediction of breast cancer with high expression of transcription factor E2F2
10.3760/cma.j.cn112149-20231204-00442
- VernacularTitle:MRI预测乳腺癌转录因子E2F2高表达的价值
- Author:
Ming ZHANG
1
;
Lihua ZHANG
;
Xiaoqing YU
;
Jinfeng QIAN
;
Meihong SHENG
Author Information
1. 南通大学第二附属医院（南通市第一人民医院）影像科，南通 226001
- Keywords:
Breast neoplasms;
Magnetic resonance imaging;
E2F2 transcription factor;
Invasiveness;
Peritumoral edema
- From:
Chinese Journal of Radiology
2024;58(5):510-516
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the value of MRI in diagnosing the high expression of transcription factor E2F2 in breast cancer, in order to further evaluate the biological aggressiveness of breast cancer.Methods:The study was cross-sectional. The clinical and imaging data of 92 patients with breast cancer who were pathologically diagnosed in the Second Affiliated Hospital of Nantong University from October 2014 to December 2020 were retrospectively analyzed. All patients were female, aged 32 to 82 (56±11) years. All patients underwent MRI, including T 1WI, T 2WI, diffusion-weighted imaging (DWI), and dynamic enhanced MRI. According to the immunohistochemical results, the patients were divided into E2F2 high expression group and E2F2 low expression group. Independent sample t test, Mann-Whitney U test or χ2 test were used to compare the clinical data, MRI features and pathological features of the two groups. Characteristics with P≤0.1 from univariate analyses were included in multivariate logistic regression to screen for independent risk factors predicting high expression of the transcription factor E2F2 in breast cancer. Results:Among 92 patients, 68 were in the high E2F2 expression group and 24 were in the low E2F2 expression group. There were significant differences between the two groups in peritumoral edema, type composition ratio of time-signal intensity curve, estrogen receptor expression, human epidermal growth factor receptor 2 expression, endovascular cancer embolus and molecular type composition ratio (all P<0.05). Multivariate logistic regression analysis showed that peritumoral edema alone ( OR=7.061, 95% CI 1.837—27.144, P=0.004) was an independent risk factor for predicting the high expression of transcription factor E2F2 in breast cancer. Conclusion:MRI show that peritumoral edema is an independent risk factor for predicting high expression of the breast cancer transcription factor E2F2, which is associated with the aggressiveness of breast cancer.
