Non-Metastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Breast Cancer patients at Risk for Metastasis

Author:

Song Qingyuan,Muller Kristen E.,Hondelink Liesbeth M.,diFlorio-Alexander Roberta M.,Karagas Margaret,Hassanpour Saeed

Abstract

AbstractObese patients have worse breast cancer outcomes than normal weight women including a 50% to 80% increased rate of axillary nodal metastasis. Recent studies have shown a potential link between increased lymph node adipose tissue and breast cancer nodal metastasis. Further investigation into potential mechanisms underlying this link may reveal potential prognostic utility of fat-enlarged lymph nodes in breast cancer patients. In this study, a deep learning framework was developed to identify morphological differences of non-metastatic axillary nodes between node-positive and node-negative obese breast cancer patients. Pathology review of the model-selected patches found an increase in the average size of adipocytes (p-value=0.004), an increased amount of white space between lymphocytes (p-value<0.0001), and an increased amount of red blood cells (p-value<0.001) in non-metastatic lymph nodes of node-positive breast cancer patients. Our downstream immunohistology (IHC) analysis showed a decrease of CD3 expression and increase of leptin expression in fat-replaced axillary lymph nodes in obese node-positive patients. In summary, our findings suggest a novel direction to further investigate the crosstalk between lymph node adiposity, lymphatic dysfunction, and breast cancer nodal metastases.

Publisher

Cold Spring Harbor Laboratory

Reference39 articles.

1. Breast cancer

2. Breast cancer

3. Products - Data Briefs - Number 360 - February 2020. Published February 28, 2020. Accessed March 9, 2020. https://www.cdc.gov/nchs/products/databriefs/db360.htm

4. Molecular links between obesity and breast cancer

5. Association of Obesity With Breast Cancer Outcome in Relation to Cancer Subtypes: A Meta-Analysis

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