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Lymphangiogenesis in Breast Cancer Correlates with Matrix Stiffness on Shear-Wave Elastography
PURPOSE: To correlate tumor stiffness and lymphangiogenesis in breast cancer and to find its clinical implications. MATERIALS AND METHODS: A total of 140 breast cancer patients were evaluated. Tumor stiffness was quantitatively measured by shear-wave elastography in preoperative ultrasound examinati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800347/ https://www.ncbi.nlm.nih.gov/pubmed/26996557 http://dx.doi.org/10.3349/ymj.2016.57.3.599 |
Sumario: | PURPOSE: To correlate tumor stiffness and lymphangiogenesis in breast cancer and to find its clinical implications. MATERIALS AND METHODS: A total of 140 breast cancer patients were evaluated. Tumor stiffness was quantitatively measured by shear-wave elastography in preoperative ultrasound examination, calculated as mean elasticity value (kPa). Slides of resected breast cancer specimens were reviewed for most fibrotic area associated with tumor. D2-40 immunohistochemical staining was applied for fibrotic areas to detect the lymphatic spaces. Microlymphatic density, tumor stiffness, and clinicopathologic data were analyzed. RESULTS: Higher elasticity value was associated with invasive size of tumor, microlymphatic density, histologic grade 3, absence of extensive intraductal component, presence of axillary lymph node metastasis, and Ki-67 labeling index (LI) in univariate regression analysis, and associated with Ki-67 LI and axillary lymph node metastasis in multivariate regression analysis. Microlymphatic density was associated histologic grade 3, mean elasticity value, and Ki-67 LI in univariate regression analysis. In multivariate regression analysis, microlymphatic density was correlated with mean elasticity value. CONCLUSION: In breast cancer, tumor stiffness correlates with lymphangiogenesis and poor prognostic factors. |
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