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Breast Cancer Metastasis to the Axillary Lymph Nodes: Are Changes to the Lymph Node "Soil" Localized or Systemic?

ABSTRACT: Metastasis is a multistep process that is not well understood. Colonization of a secondary organ requires specific molecular alterations of the host microenvironment. To determine the temporal and spatial changes associated with metastatic dissemination to the axillary lymph nodes, gene expression profiles were compared between histologically normal lymph nodes from node-positive patients and tumor-free nodes from node-negative patients. Using a stringent false discovery rate correction (<0.05) for multiple hypothesis testing, we did not detect any differentially expressed genes between the lymph node groups. Thus, the presence of metastatic cells within the lymphatic system does not elicit widespread changes in gene expression through the axillary basin; rather, lymph nodes independently respond to disseminated tumor cells.

SUBMITTER: Blackburn HL

PROVIDER: S-EPMC5391061 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Breast Cancer Metastasis to the Axillary Lymph Nodes: Are Changes to the Lymph Node "Soil" Localized or Systemic?

Blackburn Heather L HL Ellsworth Darrell L DL Shriver Craig D CD Ellsworth Rachel E RE

Breast cancer : basic and clinical research 20170210

Metastasis is a multistep process that is not well understood. Colonization of a secondary organ requires specific molecular alterations of the host microenvironment. To determine the temporal and spatial changes associated with metastatic dissemination to the axillary lymph nodes, gene expression profiles were compared between histologically normal lymph nodes from node-positive patients and tumor-free nodes from node-negative patients. Using a stringent false discovery rate correction (<0.05) ...[more]

PMID: 28469436

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Project description:The prognostic importance of lymph node (LN) status and tumour-infiltrating lymphocytes (TILs), is well established, particularly TILs in triple negative breast cancers (TNBCs). So far, few studies have interrogated changes in involved and uninvolved LNs and evaluated if their morphological patterns add valuable information for the prediction of disease progression in breast cancer. In a cohort of 309 patients enriched for TNBCs (170/309), we histologically characterised immune and stromal features in primary tumours and associated involved and uninvolved axillary LNs on routine haematoxylin and eosin stained sections. Of the 309 patients, 143 had LN-positive disease. Twenty-five histopathological features were assessed, including the degree of TIL presence, quantitative and qualitative assessment of germinal centres (GCs) and sinus histiocytosis. Multivariate and cross-validated proportional hazard regression analyses were used to identify optimal covariate sets for prediction of distant metastasis-free survival (DMFS). The degree of intratumoural and peritumoural immune infiltrate was associated with architectural changes in both uninvolved and involved LNs. By including clinicopathological characteristics as well as tumour and LN histopathological features in L2-regularised proportional hazard models, the prediction of 5-year DMFS was improved by 3-15% over the baseline in all cancers and in TNBCs. In LN-positive cancers, the combination of Salgado's classification, lymphocytic lobulitis, size and number of GCs in the uninvolved LNs and location of GCs in the involved LNs carried significant prognostic information. From these features, a multivariate cross-validation-stable risk signature was constructed, which identified low-risk groups within both LN-positive breast cancers and the LN-positive TNBCs group with a 10-year DMFS probability of 78 and 87%, respectively. This study illustrates that, by incorporating histopathological patterns of involved and uninvolved LNs combined with primary tumour immune and stromal features, the prediction of developing distant metastasis in LN-positive breast cancers can be estimated more accurately.

Project description:PurposeObesity associated fat infiltration of organ systems is accompanied by organ dysfunction and poor cancer outcomes. Obese women demonstrate variable degrees of fat infiltration of axillary lymph nodes (LNs), and they are at increased risk for node-positive breast cancer. However, the relationship between enlarged axillary nodes and axillary metastases has not been investigated. The purpose of this study is to evaluate the association between axillary metastases and fat-enlarged axillary nodes visualized on mammograms and breast MRI in obese women with a diagnosis of invasive breast cancer.MethodsThis retrospective case-control study included 431 patients with histologically confirmed invasive breast cancer. The primary analysis of this study included 306 patients with pre-treatment and pre-operative breast MRI and body mass index (BMI) > 30 (201 node-positive cases and 105 randomly selected node-negative controls) diagnosed with invasive breast cancer between April 1, 2011, and March 1, 2020. The largest visible LN was measured in the axilla contralateral to the known breast cancer on breast MRI. Multivariate logistic regression models were used to assess the association between node-positive status and LN size adjusting for age, BMI, tumor size, tumor grade, tumor subtype, and lymphovascular invasion.ResultsA strong likelihood of node-positive breast cancer was observed among obese women with fat-expanded lymph nodes (adjusted OR for the 4th vs. 1st quartile for contralateral LN size on MRI: 9.70; 95% CI 4.26, 23.50; p < 0.001). The receiver operating characteristic curve for size of fat-enlarged nodes in the contralateral axilla identified on breast MRI had an area under the curve of 0.72 for predicting axillary metastasis, and this increased to 0.77 when combined with patient and tumor characteristics.ConclusionFat expansion of axillary lymph nodes was associated with a high likelihood of axillary metastases in obese women with invasive breast cancer independent of BMI and tumor characteristics.

Project description:Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51-68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41-0.74 and 0.48-0.89 in the training cohorts, respectively, and between 0.30-0.98 and 0.37-0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.

Project description:BackgroundSentinel lymph node biopsy (SLNB) is the standard axillary staging approach for early breast cancer with clinically negative axillary involvement. Adequate SLNB should include the removal of not only radioactive tracer-labeled lymph nodes (hot nodes or SLNs) but also suspicious unlabeled nodes (non-hot nodes or non-SLNs). However, the biopsy of non-hot nodes is highly dependent on the surgeons' experiences. This article aims to facilitate the surgeon's decision making by elucidating parameters that correlate with non-hot node metastasis.MethodsFrom 2013 to 2016, clinically node-negative (cN0) breast cancer patients receiving axillary SLNB using single Tc-99m tracer method at our institute were recruited. Patients were excluded if they had received prior neoadjuvant chemotherapy. Among them, cases that have at least one non-isotope-hot node biopsied were retrospectively reviewed with a particular focus on patients with pathologically negative isotope-hot SLNs. The correlation of clinicopathological data with metastasis to axillary lymph nodes and sentinel lymph nodes was analyzed with the Chi-squared test, Fisher's exact test, and multivariate logistic regression. Receiver operating curve (ROC) was applied for continuous variables that predicted non-hot node metastasis; relapse-free survival (RFS) and locoregional relapse-free survival (LRRFS) were compared by Kaplan-Meier analysis.ResultsIn 632 isotope-hot SLN negative patients, T stage showed a correlation with non-isotope-hot SLN metastasis (p = 0.035, odds ratio (OR) 9.65). Tumors larger than 2.5 cm best predict non-isotope-hot SLN metastasis (area under curve (AUC) = 0.71). With a median follow up of 41.80 months, locoregional relapse-free survival was significantly worse in cases with non-hot node metastasis (66.2% vs. 69.0%, p = 0.001).ConclusionIn the setting of SLNB using single radioisotope tracer, non-hot node metastasis in cases with negative hot SLN still carries a higher locoregional recurrence rate (13.3%). For early breast cancer larger than 2.5 cm, removal of suspicious non-hot nodes should be included for a precision therapy.

Dataset Information

Breast Cancer Metastasis to the Axillary Lymph Nodes: Are Changes to the Lymph Node "Soil" Localized or Systemic?

Publications

Breast Cancer Metastasis to the Axillary Lymph Nodes: Are Changes to the Lymph Node "Soil" Localized or Systemic?

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