Different MRI and clinicopathological characteristics between breast cancer susceptibility gene-positive and -negative breast cancer
10.3760/cma.j.cn112149-20241125-00701
- VernacularTitle:乳腺癌易感基因突变与非突变患者的MRI及临床病理特征研究
- Author:
Mengying YANG
1
;
Shunan CHE
;
Shuluan CHEN
;
Jing LI
Author Information
1. 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院影像诊断科，北京 100021
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Magnetic resonance imaging;
BRCA gene mutation;
Edema;
Morphological characteristics of the lesions
- From:
Chinese Journal of Radiology
2025;59(5):532-539
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the difference of MRI and clinicopathological characteristics between patients with breast cancer susceptibility gene (BRCA)-positive and BRCA-negative breast cancer.Methods:The study was a cross-sectional study. MRI images and clinicopathological data of breast cancer patients with postoperative pathologically confirmed and determined BRCA gene status in Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from January 2012 to April 2021 were retrospectively analyzed. A total of 120 BRCA-positive patients with 122 lesions and 120 BRCA-negative patients with 126 lesions were enrolled. All patients underwent MRI examinations, including pre-contrast and post-contrast scans. The breast MRI features of the patients were analyzed, including internal necrosis, lesion depth, degree of background parenchymal enhancement (BPE), type of lesion, shape and margin of the mass lesion, internal enhancement, and edema. Clinicopathological analysis included family history, molecular subtype, nuclear grade, and the status of human epidermal growth factor 2 (HER-2), estrogen receptor (ER), and progesterone receptor (PR). The χ2 test and Fisher exact test were performed to determine the differences in MRI features and clinicopathological manifestations of BRCA-positive and BRCA-negative breast cancers. Significant features obtained by univariate analysis were included in the multivariate logistic regression analyses to select independent influencing factors for predicting BRCA mutation in breast cancer. Results:Statistically significant differences were observed between patients with BRCA-positive and BRCA-negative breast cancers in the following features: family history, molecular subtype, ER or PR-positive status, HER-2-negative status, nuclear grade, BPE, internal necrosis, edema, and the shape and margin of the mass lesion( P?0.05). The multivariate logistic regression analyses showed that HER-2 negativity ( OR=3.277, 95% CI 1.087-9.875, P=0.035), round or oval shape ( OR=2.688,95% CI 1.143-6.320, P=0.023), circumscribed margin ( OR=3.001,95% CI 1.374-6.554, P=0.006), edema ( OR=4.407,95% CI 2.100-9.244, P<0.001), and the minimal or mild degree of BPE ( OR=2.520,95% CI 1.328-4.782, P=0.005) were significant independent factors in predicting BRCA gene mutations. Conclusions:There are differences in MRI features and clinicopathological manifestations of BRCA-positive and BRCA-negative breast cancers. HER-2 status, the shape and margin of lesions, edema and the degree of BPE could independently predict the BRCA status of breast cancer.
