ArticleDiagnostic pathology2011
Predictive value of pathological and immunohistochemical parameters for axillary lymph node metastasis in breast carcinoma.
Article in Diagnostic pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 35 citations in OpenAlex.
- Construction of a prediction model for axillary lymph node metastasis in breast cancer patients based on a multimodal fusion strategy of ultrasound and pathological images.Frontiers in oncology · 2025Article
- AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection.Frontiers in oncology · 2025Article
- Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer.BioMed research international · 2022Article
- Nomogram models for stratified prediction of axillary lymph node metastasis in breast cancer patients (cN0).Frontiers in endocrinology · 2022Article
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- Predictive Value of Clinicopathological Characteristics for Sentinel Lymph Node Metastasis in Early Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
- Correlation of epidermal growth factor receptor (EGFR), androgen receptor (AR) and 14-3-3 sigma expression in breast cancer.International journal of clinical and experimental pathology · 2017Article
- Analysis of molecular markers as predictive factors of lymph node involvement in breast carcinoma.Oncology letters · 2017Article
- Specific upregulation of RHOA and RAC1 in cancer-associated fibroblasts found at primary tumor and lymph node metastatic sites in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Article
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- Carcinoma en Cuirasse from Recurrent Breast Cancer seen on FDG-PET/CT.Journal of clinical imaging science · 2015Article
- Differing deregulation of HER2 in primary gastric cancer and synchronous related metastatic lymph nodes.Diagnostic pathology · 2013Article
- An analysis of cyclin D1, cytokeratin 5/6 and cytokeratin 8/18 expression in breast papillomas and papillary carcinomas.Diagnostic pathology · 2013Article
- Perineural Invasion Predicts Unfavorable Prognosis in Patients With Invasive Breast Cancer.Cancer diagnosis & prognosisArticle
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3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectiveWhile several prognostic factors have been identified in breast carcinoma, the clinical outcome remains hard to predict for individual patients. Better predictive markers are needed to help guide difficult treatment decisions. Axillary lymph node metastasis (ALNM) is one of the most important prognostic determinants in breast carcinoma; however, the reasons why tumors vary in their capability to result in axillary metastasis remain unclear. Identifying breast carcinoma patients at risk for ALNM would improve treatment planning. This study aimed to identify the factors associated with ALNM in breast carcinoma, with particular emphasis on basal-like phenotype.
methodsBreast carcinoma patients (n = 210) who underwent breast conserving surgery and axillary lymph node dissection (ALND) (level I and II) or modified radical mastectomy were included in this study. Pathological and immunohistochemical data including individual receptor/gene status was collected for analysis. The basal phenotype status was ascertained using the basal cytokeratin markers CK5, CK14, CK17 and EGFR.
resultsALNM was found in 55% (n = 116) of the patients. On univariate analysis, multicentric disease, large tumor size (>2 cm), vascular and lymphatic invasion, epithelial hyperplasia, necrosis, in situ carcinoma and perineural invasion were associated with higher risk for ALNM, whereas CK5, CK14, EGFR positivity and basal-like tumor type were associated with lower risk. On multivariate analysis, CK5 positivity (OR 0.003, 95%CI 0.000-0.23, p = 0.009) and lymphatic/vascular invasion (OR 17.94, 95%CI 4.78-67.30, p < 0.001) were found to be independent predictors.
conclusionsAlthough the value of complete ALND has been questioned in invasive breast cancer patients, treatment decisions for breast carcinoma have been influenced by many parameters, including lymph node status. Since histopathologic characteristics and expression of biological markers varies among the same histologic subtypes of breast carcinoma, specific clinical and histopathologic features of the primary tumor and ALN status like sentinel node might be used to tailor the loco-regional and systemic treatment in different clinical settings.
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