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Sentinel lymph node B cells can predict disease-free survival in breast cancer patients

Tumor invasion into draining lymph nodes, especially sentinel lymph nodes (SLNs), is a key determinant of prognosis and treatment in breast cancer as part of the TNM staging system. Using multicolor histology and quantitative image analysis, we quantified immune cells within SLNs from a discovery co...

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Autores principales: Blenman, Kim R. M., He, Ting-Fang, Frankel, Paul H., Ruel, Nora H., Schwartz, Erich J., Krag, David N., Tan, Lee K., Yim, John H., Mortimer, Joanne E., Yuan, Yuan, Lee, Peter P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107630/
https://www.ncbi.nlm.nih.gov/pubmed/30155518
http://dx.doi.org/10.1038/s41523-018-0081-7
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author Blenman, Kim R. M.
He, Ting-Fang
Frankel, Paul H.
Ruel, Nora H.
Schwartz, Erich J.
Krag, David N.
Tan, Lee K.
Yim, John H.
Mortimer, Joanne E.
Yuan, Yuan
Lee, Peter P.
author_facet Blenman, Kim R. M.
He, Ting-Fang
Frankel, Paul H.
Ruel, Nora H.
Schwartz, Erich J.
Krag, David N.
Tan, Lee K.
Yim, John H.
Mortimer, Joanne E.
Yuan, Yuan
Lee, Peter P.
author_sort Blenman, Kim R. M.
collection PubMed
description Tumor invasion into draining lymph nodes, especially sentinel lymph nodes (SLNs), is a key determinant of prognosis and treatment in breast cancer as part of the TNM staging system. Using multicolor histology and quantitative image analysis, we quantified immune cells within SLNs from a discovery cohort of 76 breast cancer patients. We found statistically more in situ CD3(+) T cells in tumor negative vs. tumor positive nodes (mean of 8878 vs. 6704, respectively, p = 0.006), but no statistical difference in CD20(+) B cells or CD1a(+) dendritic cells. In univariate analysis, a reduced hazard was seen with a unit increase in log CD3 with HR 0.49 (95% CI 0.30–0.80) and log CD20 with HR 0.37 (95% CI 0.22–0.62). In multivariate analysis, log CD20 remained significant with HR 0.42 (95% CI 0.25–0.69). When restricted to SLN tumor negative patients, increased log CD20 was still associated with improved DFS (HR = 0.26, 95% CI 0.08–0.90). The CD20 results were validated in a separate cohort of 21 patients (n = 11 good outcome, n = 10 poor outcome) with SLN negative triple-negative breast cancer (TNBC) (“good” mean of 7011 vs. “poor” mean of 4656, p = 0.002). Our study demonstrates that analysis of immune cells within SLNs, regardless of tumor invasion status, may provide additional prognostic information, and highlights B cells within SLNs as important in preventing future recurrence.
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spelling pubmed-61076302018-08-28 Sentinel lymph node B cells can predict disease-free survival in breast cancer patients Blenman, Kim R. M. He, Ting-Fang Frankel, Paul H. Ruel, Nora H. Schwartz, Erich J. Krag, David N. Tan, Lee K. Yim, John H. Mortimer, Joanne E. Yuan, Yuan Lee, Peter P. NPJ Breast Cancer Article Tumor invasion into draining lymph nodes, especially sentinel lymph nodes (SLNs), is a key determinant of prognosis and treatment in breast cancer as part of the TNM staging system. Using multicolor histology and quantitative image analysis, we quantified immune cells within SLNs from a discovery cohort of 76 breast cancer patients. We found statistically more in situ CD3(+) T cells in tumor negative vs. tumor positive nodes (mean of 8878 vs. 6704, respectively, p = 0.006), but no statistical difference in CD20(+) B cells or CD1a(+) dendritic cells. In univariate analysis, a reduced hazard was seen with a unit increase in log CD3 with HR 0.49 (95% CI 0.30–0.80) and log CD20 with HR 0.37 (95% CI 0.22–0.62). In multivariate analysis, log CD20 remained significant with HR 0.42 (95% CI 0.25–0.69). When restricted to SLN tumor negative patients, increased log CD20 was still associated with improved DFS (HR = 0.26, 95% CI 0.08–0.90). The CD20 results were validated in a separate cohort of 21 patients (n = 11 good outcome, n = 10 poor outcome) with SLN negative triple-negative breast cancer (TNBC) (“good” mean of 7011 vs. “poor” mean of 4656, p = 0.002). Our study demonstrates that analysis of immune cells within SLNs, regardless of tumor invasion status, may provide additional prognostic information, and highlights B cells within SLNs as important in preventing future recurrence. Nature Publishing Group UK 2018-08-23 /pmc/articles/PMC6107630/ /pubmed/30155518 http://dx.doi.org/10.1038/s41523-018-0081-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Blenman, Kim R. M.
He, Ting-Fang
Frankel, Paul H.
Ruel, Nora H.
Schwartz, Erich J.
Krag, David N.
Tan, Lee K.
Yim, John H.
Mortimer, Joanne E.
Yuan, Yuan
Lee, Peter P.
Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title_full Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title_fullStr Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title_full_unstemmed Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title_short Sentinel lymph node B cells can predict disease-free survival in breast cancer patients
title_sort sentinel lymph node b cells can predict disease-free survival in breast cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107630/
https://www.ncbi.nlm.nih.gov/pubmed/30155518
http://dx.doi.org/10.1038/s41523-018-0081-7
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