Comparison of AJCC anatomic and clinical prognostic stage groups in breast cancer: Analysis of 3322 cases from a single institution
Document Type
Article
Publication Date
12-1-2018
Department
Department of Mathematical Sciences
Abstract
BACKGROUND: The American Joint Committee on Cancer anatomic stage/prognostic group template arguably is the most powerful in predicting breast cancer outcomes because it considers the primary tumor, regional lymph node involvement, and presence of distant metastasis. However, other tumor and host characteristics have also been proved to be of prognostic value, including histologic grade and estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status. Thus, the 8th edition of the American Joint Committee on Cancer consolidated these factors into clinical prognostic stage groups.
MATERIALS AND METHODS: We validated the clinical prognostic stage groups compared with the anatomic stage groups in a cohort of 3322 breast cancer patients.
RESULTS: Compared with the anatomic stage, application of the clinical prognostic stage assigned 27.7% and 24.7% of cases to higher and lower stage groups, respectively. In 14% and 2.8% of cases, the assignment of clinical prognostic stage varied by 2 and 3 anatomic stages up or down, respectively. The Cox proportional hazard model demonstrated superior discriminatory power for clinical prognostic stage (overall χ
CONCLUSION: The new clinical prognostic stage provides a more powerful, yet imperfect, tool for predicting breast cancer outcomes. Further refinement of this system might be necessary in the pursuit of precision medicine.
Publication Title
Clinical breast cancer
Recommended Citation
Kurundkar, A.,
Gao, X.,
Zhang, K.,
Britt, J.,
Siegal, G.,
&
Wei, S.
(2018).
Comparison of AJCC anatomic and clinical prognostic stage groups in breast cancer: Analysis of 3322 cases from a single institution.
Clinical breast cancer,
18(6), 1347-1347.
http://doi.org/10.1016/j.clbc.2018.07.013
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/958
Publisher's Statement
© 2018 Elsevier Inc. All rights reserved. Publisher’s version of record: https://doi.org/10.1016/j.clbc.2018.07.013