A histomorphologic predictive model for axillary lymph node metastasis in preoperative breast cancer core needle biopsy according to intrinsic subtypes

Yoo, Su Hyun; Park, In Ae; Chung, Yul Ri; Kim, Hyojin; Lee, Keehwan; Noh, Dong‐Young; Im, Seock‐Ah; Han, Wonshik; Moon, Hyeong‐Gon; Lee, Kyung-Hun; Ryu, Han Suk

doi:10.1016/j.humpath.2014.10.017

Cited by 10 publications

(7 citation statements)

References 33 publications

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“…Furthermore, tumor size was found to be a major determinant of axillary metastasis development in HER2 positive and ER positive (either HER2 negative or positive) subgroups. Other authors have also demonstrated a higher risk of lymph node metastasis in patients with HER2 overexpression 31,32 . The present study did not find this correlation, which can be explained by the small number of patients with HER2+.…”

Section: Discussionmentioning

confidence: 86%

Criteria for prediction of metastatic axillary lymph nodes in early-stage breast cancer

Filho

Dória

Piato

et al. 2015

Rev. Bras. Ginecol. Obstet.

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Section: Discussionmentioning

confidence: 86%

Criteria for prediction of metastatic axillary lymph nodes in early-stage breast cancer

Filho

Dória

Piato

et al. 2015

Rev. Bras. Ginecol. Obstet.

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“…The prognostic and predictive factors in CNB have been assessed in previous publications. CNB has been reported to be accurate in evaluating ER, PR and HER2 status, and molecular subtype. Owing to its microfocal characteristics, a 30 per cent failure rate in detecting vascular invasion in the CNB has been reported, which is a limitation of the proposed nomograms, and caution is therefore warranted in interpreting vascular invasion on CNB.…”

Section: Discussionmentioning

confidence: 99%

Nomograms for preoperative prediction of axillary nodal status in breast cancer

Dihge

Bendahl

Rydén

2017

British Journal of Surgery

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BackgroundAxillary staging in patients with breast cancer and clinically node‐negative disease is performed by sentinel node biopsy (SLNB). The aim of this study was to integrate feasible preoperative variables into nomograms to guide clinicians in stratifying treatment options into no axillary staging for patients with non‐metastatic disease (N0), SLNB for those with one or two metastases, and axillary lymph node dissection (ALND) for patients with three or more metastases.MethodsPatients presenting to Skåne University Hospital, Lund, with breast cancer were included in a prospectively maintained registry between January 2009 and December 2012. Those with a preoperative diagnosis of nodal metastases were excluded. Patients with data on hormone receptor status, human epidermal growth factor receptor 2 and Ki‐67 expression were included to allow grouping into surrogate molecular subtypes. Based on logistic regression analyses, nomograms summarizing the strength of the associations between the predictors and each nodal status endpoint were developed. Predictive performance was assessed using the area under the receiver operating characteristic (ROC) curve. Bootstrap resampling was performed for internal validation.ResultsOf the 692 patients eligible for analysis, 248 were diagnosed with node‐positive disease. Molecular subtype, age, mode of detection, tumour size, multifocality and vascular invasion were identified as predictors of any nodal disease. Nomograms that included these predictors demonstrated good predictive abilities, and comparable performances in the internal validation; the area under the ROC curve was 0·74 for N0 versus any lymph node metastasis, 0·70 for one or two involved nodes versus N0, and 0·81 for at least three nodes versus two or fewer metastatic nodes.ConclusionThe nomograms presented facilitate preoperative decision‐making regarding the extent of axillary surgery.

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“…l Biochemical (CEA, CA 15-3) l Genetic (BRCA 1, BRCA2, VEGFC, MIB1, CCR7, CXCR4 ) (24-60). Some of these investigations can be provided to the material taken from the tumor before the surgical intervention with "core" biopsy, which is very important for planning further therapeutic steps (42).…”

Section: Resultsmentioning

confidence: 99%

Prognostic Factors on the Positivity for Metastases of the Axillary Lymph Nodes from Primary Breast Cancer

Кондов

Спировски

et al. 2017

Prilozi

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Aim: The aim of the study was to identify the impact of T stage, the presence of estrogen, progesterone, HER2neu receptors and the values of the Ki67 on the positivity for metastases of the axillary lymph nodes, from primary breast cancer. Material and methods: 290 surgically treated patients for breast cancer were included in the study. All cases have been analyzed by standard histological analysis including microscopic analysis on standard H&E staining. For determining the molecular receptors -HER2neu, ER, PR, p53 and Ki67, immunostaining by PT LINK immunoperoxidase has been done. Results: Patients age was ranged between 18-90 years, average of 57.6+11.9. The mean size of the primary tumor in the surgically treated patient was 30.27 + 18.3 mm. On dissection from the axillary pits 8 to 39 lymph nodes were taken out, an average of 13.81+5.56. Metastases have been found in 1 to 23 lymph nodes, an average 3.14+4.71. In 59% of the patients there have been found metastases in the axillary lymph nodes. The univariate regression analysis showed that the location, size of tumor, differentiation of the tumor, stage, the value of the Ki67 and presence of lymphovascular invasion influence on the positivity of the axillary lymph nodes. The presence of the estrogen receptors, progesterone receptors and HER2neu receptors showed that they do not have influence on the positivity for metastatic deposits in axillary lymph nodes. The multivariate model and the logistic regression analysis as independent significant factors or predictors of positivity of the axillary lymph nodes are influenced by the tumor size and the positive lymphovascular invasion. Conclusion: Our study showed that the involving of the axillary lymph nodes is mainly influenced by the size of the tumor and the presence of lymphovascular invasion in the tumor. Ki67 determined proliferative index in the univariate analysis points the important influence of positivity in the axillary lymph nodes, but not in the multivariate regressive analysis.

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A histomorphologic predictive model for axillary lymph node metastasis in preoperative breast cancer core needle biopsy according to intrinsic subtypes

Cited by 10 publications

References 33 publications

Criteria for prediction of metastatic axillary lymph nodes in early-stage breast cancer

Criteria for prediction of metastatic axillary lymph nodes in early-stage breast cancer

Nomograms for preoperative prediction of axillary nodal status in breast cancer

Prognostic Factors on the Positivity for Metastases of the Axillary Lymph Nodes from Primary Breast Cancer

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