Background Prognosis and treatment options differ for each molecular subtype of breast cancer, but risk of regional lymph node (LN) metastasis for each subtype has not been well-studied. Since LN status is the most important predictor for prognosis, the aim of this study is to investigate the propensity for LN metastasis in each of the five breast cancer molecular subtypes. Methods Under an IRB-approved protocol, we retrospectively reviewed the charts of all pathologically confirmed breast cancer cases from 1/2004 to 6/2012. Five subtypes were defined as luminal A (hormone receptor +, Ki67 low), luminal B (hormone receptor+, Ki67 high), luminal-human epidermal growth factor receptor 2 (HER-2), HER-2-enriched (hormone receptor negative), and triple negative (TN). Results A total of 375 patients with complete data were classified by subtype: 95 (25.3%) luminal A, 120 (32%) luminal B, 69 (18.4%) luminal-HER-2, 26 (6.9%) HER-2-enriched, and 65 (17.3%) TN. On univariate analysis, age (<50), higher tumor grade, HER-2 + status, tumor size, and molecular subtype were significant for LN positivity. Molecular subtype correlated strongly with tumors size (X2; p=0.0004); therefore, multivariable logistic regression did not identify molecular subtype as an independent variable to predict LN positivity. Conclusions Luminal A tumors have the lowest risk of LN metastasis, while luminal HER-2 subtype has the highest risk of LN metastasis. Immunohistochemical-based molecular classification can be readily performed and knowledge of the factors that affect LN status may help with treatment decisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.