Predictors of Axillary Lymph Node Metastases (ALNM) in a Korean Population with T1-2 Breast Carcinoma: Triple Negative Breast Cancer has a High Incidence of ALNM Irrespective of the Tumor Size.
- Author:
Jong Hoon LEE
1
;
Sung Hwan KIM
;
Young Jin SUH
;
Byoung Yong SHIM
;
Hoon Kyo KIM
Author Information
1. Department of Radiation Oncology, St. Vincent's Hospital, The Catholic University College of Medicine, Suwon, Korea. kimandre@catholic.ac.kr
- Publication Type:Original Article
- Keywords:
Axillary lymph node;
Breast neoplasms;
Predictor
- MeSH:
Breast;
Breast Neoplasms;
Humans;
Incidence;
Lymph Node Excision;
Lymph Nodes;
Mastectomy, Modified Radical;
Mastectomy, Segmental;
Multivariate Analysis;
Neoplasm Metastasis;
Retrospective Studies
- From:Cancer Research and Treatment
2010;42(1):30-36
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: We estimated the likelihood of breast cancer patients having axillary lymph node metastases (ALNM) based on a variety of clinical and pathologic factors. MATERIALS AND METHODS: Three hundred sixty-one breast cancer patients without distant metastases and who underwent breast conserving surgery and axillary lymph node dissection (ALND) (level I and II) or modified radical mastectomy (MRM) were identified, and we retrospectively reviewed their pathology records and treatment charts. RESULTS: Positive axillary lymph nodes were detected in 104 patients for an overall incidence of 28.8%: 2 patients (5%) with T1a tumor, 5 (9.2%) with T1b tumor, 24 (21.8%) with T1c tumor and 73 (44.2%) with T2 tumor. On the multivariate analysis, an increased tumor size (adjusted OR=11.87, p=0.02), the presence of lymphovascular invasion (adjusted OR=7.41, p<0.01), a triple negative profile (ER/PR-, Her2-) (adjusted OR=2.09, p=0.04) and a palpable mass at the time of diagnosis (adjusted OR=2.31, p=0.03) were all significant independent factors for positive ALNM. CONCLUSION: In our study, the tumor size, the presence of lymphovascular invasion, a triple negative profile and a palpable mass were the independent predictive factors for ALNM. The tumor size was the strongest predictor of ALNM. Thus, the exact estimation of the extent of tumor is necessary for clinicians to optimize the patients' care. Patients with a triple negative profile have a high incidence of ALNM irrespective of the tumor size.
