Application of preoperative ultrasound features combined with clinical factors in predicting HER2-positive subtype (non-luminal) breast cancer

BMC Medical Imaging

Jiong Wu¹  An-qi Jin²  Yun-xia Huang³  Lang Qian³  Jin Zhou³  Shi-chong Zhou³  Jia-wei Li³  Wen-xiang Zhi³  Qian Zhu³  Cai Chang³ 

[1] Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China;Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China;Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China;Department of Ultrasound, First Floor, Building 3, Fudan University Shanghai Cancer Center, No. 270 Dong’an Road, Xuhui District, Shanghai, China;Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China;

关键词: Breast cancer;    Estrogen receptor;    Progesterone receptor;    Human epidermal growth factor receptor-2;    Ultrasound;   

DOI  :  10.1186/s12880-021-00714-0

来源: Springer

【 摘 要 】

BackgroundHuman epidermal growth factor receptor2+ subtype breast cancer has a high degree of malignancy and a poor prognosis. The aim of this study is to develop a prediction model for the human epidermal growth factor receptor2+ subtype (non-luminal) of breast cancer based on the clinical and ultrasound features related with estrogen receptor, progesterone receptor, and human epidermal growth factor receptor2.MethodsWe collected clinical data and reviewed preoperative ultrasound images of enrolled breast cancers from September 2017 to August 2020. We divided the data into in three groups as follows. Group I: estrogen receptor ± , Group II: progesterone receptor ± and Group III: human epidermal growth factor receptor2 ± . Univariate and multivariate logistic regression analyses were used to analyze the clinical and ultrasound features related with biomarkers among these groups. A model to predict human epidermal growth factor receptor2+ subtype was then developed based on the results of multivariate regression analyses, and the efficacy was evaluated using the area under receiver operating characteristic curve, accuracy, sensitivity, specificity.ResultsThe human epidermal growth factor receptor2+ subtype accounted for 138 cases (11.8%) in the training set and 51 cases (10.1%) in the test set. In the multivariate regression analysis, age ≤ 50 years was an independent predictor of progesterone receptor + (p = 0.007), and posterior enhancement was a negative predictor of progesterone receptor + (p = 0.013) in Group II; palpable axillary lymph node, round, irregular shape and calcifications were independent predictors of the positivity for human epidermal growth factor receptor-2 in Group III (p = 0.001, p = 0.007, p = 0.010, p < 0.001, respectively). In Group I, shape was the only factor related to estrogen receptor status in the univariate analysis (p < 0.05). The area under receiver operating characteristic curve, accuracy, sensitivity, specificity of the model to predict human epidermal growth factor receptor2+ subtype breast cancer was 0.697, 60.14%, 72.46%, 58.49% and 0.725, 72.06%, 64.71%, 72.89% in the training and test sets, respectively.ConclusionsOur study established a model to predict the human epidermal growth factor receptor2-positive subtype with moderate performance. And the results demonstrated that clinical and ultrasound features were significantly associated with biomarkers.

【 授权许可】

CC BY