Clinical Significance of Micrometastasis Detection in Conventional Pathologic Nonmetastasis Lymph Nodes of Patients with Breast Cancer
Author(s): RUAN Hua, ZHANG Guizhen, WEI Luoyun, XIA Qingping, WANG Mingcheng
Pages: 123-125,143
Year: 2008 Issue: 8
Journal: Bulletin of Medical Research
Keyword: Breast tumor; Lymphatic metastasis; Micrometastasis detection; CK; EMA; CEA;
Abstract: Objective To study the relationship between lymph node micrometasis and clinicopathological parameters.Methods Immunohistochemical method was adopted to detect cytokeratin pan(CK)、Epithelial Membrane Antigen(EMA) and Carcinoembryonic Antigen(CEA) in 389 lymph nodes from 36 cases of breast cancer, in which conventional pathological diagnosis showed no lymph node metastasis.Results Micrometastasis was found in 38 lymph nodes (9.2) of 12 cases (33.3) .The incidence of micrometasis was correlated with tumor size. Pathological diagonosis and metastasis lymph nodes. Conclusion Micrometastasis detection in negative lymph nodes of breast cancer is recommended to precisely determine the tumor stage, in order to direct cancer therapy and predict prognosis.
Pages: 123-125,143
Year: 2008 Issue: 8
Journal: Bulletin of Medical Research
Keyword: Breast tumor; Lymphatic metastasis; Micrometastasis detection; CK; EMA; CEA;
Abstract: Objective To study the relationship between lymph node micrometasis and clinicopathological parameters.Methods Immunohistochemical method was adopted to detect cytokeratin pan(CK)、Epithelial Membrane Antigen(EMA) and Carcinoembryonic Antigen(CEA) in 389 lymph nodes from 36 cases of breast cancer, in which conventional pathological diagnosis showed no lymph node metastasis.Results Micrometastasis was found in 38 lymph nodes (9.2) of 12 cases (33.3) .The incidence of micrometasis was correlated with tumor size. Pathological diagonosis and metastasis lymph nodes. Conclusion Micrometastasis detection in negative lymph nodes of breast cancer is recommended to precisely determine the tumor stage, in order to direct cancer therapy and predict prognosis.
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