机构:[1]Department of Breast Surgery, the First Affiliated Hospital of Xi’an JiaotongUniversity, 277 West Yanta Road, 710061 Xi’an, People’s Republic of China[2]Department of Cancer Epidemiology, Cancer Institute & Hospital, ChineseAcademy of Medical Sciences & Peking Union Medical College, Beijing,People’s Republic of China[3]Department of Epidemiology, West ChinaSchool of Public Health, Sichuan University, Chengdu, Sichuan, People’sRepublic of China[4]Department of Breast Surgery, Zhejiang Cancer Hospital,Hangzhou, People’s Republic of China浙江省肿瘤医院[5]Department of Breast Oncology, SunYat-Sen University Cancer Center, Guangzhou, People’s Republic of China[6]Department of Breast-thyroid Surgery, Xiangya Second Hospital, CentralSouth University, Changsha, People’s Republic of China[7]Department ofBreast Surgery, Liaoning Cancer Hospital, Shenyang, People’s Republic ofChina[8]Center of Breast Disease, Cancer Institute & Hospital, ChineseAcademy of Medical Sciences & Peking Union Medical College, Beijing,People’s Republic of China[9]Department of Pathology, Cancer Institute &Hospital, Chinese Academy of Medical Sciences & Peking Union MedicalCollege, Beijing, People’s Republic of China
The concordance rate of human epidermal growth factor receptor 2 (HER2) status between core needle biopsy (CNB) and subsequent excisional biopsies of the same tumor varies from 81 to 96%, which may cause inappropriate neoadjuvant therapy that impair the potential benefit from HER2 targeted therapy for patients. This study aimed to establish a nomogram to predict the HER2 status pre-operatively as an auxiliary diagnosis to CNB assessment.
Among 4211 breast cancer patients cataloged in the Nation-wide Multicenter 10-year Retrospective Clinical Epidemiological Study of Breast Cancer in China, 2291 patients with complete relevant information were included in this study, which were further randomized 3:1 and divided into a training set and a validation set. The nomogram was established based on independent predictors of HER2 positivity recognized by logistic regression analysis and further validated internally and externally.
The multivariate logistic regression analysis showed that T-stage, N-stage, estrogen receptor (ER) status, progesterone receptor (PR) status were independent predictors for HER2 status. The nomogram was thereby constructed by those independent predictors as well as histology type. The areas under the receiver operating characteristic curve (AUC) of the training set and the validation set were 0.636 and 0.681, respectively. The calibration plots demonstrated good fitness of the nomogram for HER2 status prediction. With the optimal cutoff value, the nomogram yielded 80.0% sensitivity, 43.1% specificity in the training set and 81.1% sensitivity, 49.8% specificity in the validation set.
The present nomogram can provide valuable information on HER2 status and combined with standard CNB assessment, clinicians could make more appropriate decision on neoadjuvant therapy of breast cancer.
第一作者机构:[1]Department of Breast Surgery, the First Affiliated Hospital of Xi’an JiaotongUniversity, 277 West Yanta Road, 710061 Xi’an, People’s Republic of China
通讯作者:
推荐引用方式(GB/T 7714):
Huimin Zhang,Peiling Xie,Zhuoying Li,et al.A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study.[J].DIAGNOSTIC PATHOLOGY.2019,14:doi:10.1186/s13000-019-0806-4.
APA:
Huimin Zhang,Peiling Xie,Zhuoying Li,Rong Huang,Weiliang Feng...&Ke Wang.(2019).A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study..DIAGNOSTIC PATHOLOGY,14,
MLA:
Huimin Zhang,et al."A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study.".DIAGNOSTIC PATHOLOGY 14.(2019)