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Quantitative,Architectural Analysis of Immune Cell Subsets in Tumor-Draining Lymph Nodes from Breast Cancer Patients and Healthy Lymph Nodes
Authors:A Francesca Setiadi  Nelson C Ray  Holbrook E Kohrt  Adam Kapelner  Valeria Carcamo-Cavazos  Edina B Levic  Sina Yadegarynia  Chris M van der Loos  Erich J Schwartz  Susan Holmes  Peter P Lee
Institution:1. Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.; 2. Department of Statistics, Stanford University, Stanford, California, United States of America.; 3. Department of Pathology, Academic Medical Center, Amsterdam, The Netherlands.; 4. Department of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.;Institut Pasteur, France
Abstract:

Background

To date, pathological examination of specimens remains largely qualitative. Quantitative measures of tissue spatial features are generally not captured. To gain additional mechanistic and prognostic insights, a need for quantitative architectural analysis arises in studying immune cell-cancer interactions within the tumor microenvironment and tumor-draining lymph nodes (TDLNs).

Methodology/Principal Findings

We present a novel, quantitative image analysis approach incorporating 1) multi-color tissue staining, 2) high-resolution, automated whole-section imaging, 3) custom image analysis software that identifies cell types and locations, and 4) spatial statistical analysis. As a proof of concept, we applied this approach to study the architectural patterns of T and B cells within tumor-draining lymph nodes from breast cancer patients versus healthy lymph nodes. We found that the spatial grouping patterns of T and B cells differed between healthy and breast cancer lymph nodes, and this could be attributed to the lack of B cell localization in the extrafollicular region of the TDLNs.

Conclusions/Significance

Our integrative approach has made quantitative analysis of complex visual data possible. Our results highlight spatial alterations of immune cells within lymph nodes from breast cancer patients as an independent variable from numerical changes. This opens up new areas of investigations in research and medicine. Future application of this approach will lead to a better understanding of immune changes in the tumor microenvironment and TDLNs, and how they affect clinical outcomes.
Keywords:
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