Integrative 3′ Untranslated Region-Based Model to Identify Patients with Low Risk of Axillary Lymph Node Metastasis in Operable Triple-Negative Breast Cancer

The oncologist

article

Lei Wang¹  Xin Hu¹  Peng Wang⁴  Zhi-Ming Shao¹ 

[1] Department of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University;Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University;Department of Oncology, Shanghai Medical College, Fudan University;CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences;Institutes of Biomedical Sciences, Fudan University

关键词: Prediction modeling;    3′ untranslated region;    Alternative polyadenylation;    Triple-negative breast cancer;    Lymph node;   

DOI  :  10.1634/theoncologist.2017-0609

学科分类：地质学

来源: AlphaMed Press Incorporated

【 摘 要 】

Background Sentinel lymph node biopsy is the standard surgical staging approach for operable triple-negative breast cancer (TNBC) with clinically negative axillae. In this study, we sought to develop a model to predict TNBC patients with negative nodal involvement, who would benefit from the exemption of the axillary staging surgery. Materials and Methods We evaluated 3′ untranslated region (3′UTR) profiles using microarray data of TNBC from two Gene Expression Omnibus datasets. Samples from GSE31519 were divided into training set ( n = 164) and validation set ( n = 163), and GSE76275 was used to construct testing set ( n = 164). We built a six-member 3′UTR panel ( ADD2 , COL1A1 , APOL2 , IL21R , PKP2 , and EIF4G3 ) using an elastic net model to estimate the risk of lymph node metastasis (LNM). Receiver operating characteristic and logistic analyses were used to assess the association between the panel and LNM status. Results The six-member 3′UTR-panel showed a high distinguishing power with an area under the curve of 0.712, 0.729, and 0.708 in the training, validation, and testing sets, respectively. After adjustment by tumor size, the 3′UTR panel retained significant predictive power in the training, validation, and testing sets (odds ratio = 4.93, 4.58, and 3.59, respectively; p < .05 for all). A combinatorial analysis of the 3′UTR panel and tumor size yielded an accuracy of 97.2%, 100%, and 100% in training, validation, and testing set, respectively. Conclusion This study established an integrative 3′UTR-based model as a promising predictor for nodal negativity in operable TNBC. Although a prospective study is needed to validate the model, our results may permit a no axillary surgery option for selected patients. Implications for Practice Currently, sentinel lymph node biopsy is the standard approach for surgical staging in breast cancer patients with negative axillae. Prediction estimation for lymph node metastasis of breast cancer relies on clinicopathological characteristics, which is unreliable, especially in triple-negative breast cancer (TNBC)—a highly heterogeneous disease. The authors developed and validated an effective prediction model for the lymph node status of patients with TNBC, which integrates 3′UTR markers and tumor size. This is the first 3′UTR-based model that will help identify TNBC patients with low risk of nodal involvement who are most likely to benefit from exemption axillary surgery.

【 授权许可】

CC BY|CC BY-NC