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Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients

BACKGROUND: Dendritic cells (DCs) are important mediators of anti-tumor immune responses. We hypothesized that an in-depth analysis of dendritic cells and their spatial relationships to each other as well as to other immune cells within tumor draining lymph nodes (TDLNs) could provide a better under...

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Autores principales: Chang, Andrew Y, Bhattacharya, Nupur, Mu, Jian, Setiadi, A Francesca, Carcamo-Cavazos, Valeria, Lee, Gerald H, Simons, Diana L, Yadegarynia, Sina, Hemati, Kaveh, Kapelner, Adam, Ming, Zheng, Krag, David N, Schwartz, Erich J, Chen, Danny Z, Lee, Peter P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852260/
https://www.ncbi.nlm.nih.gov/pubmed/24088396
http://dx.doi.org/10.1186/1479-5876-11-242
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author Chang, Andrew Y
Bhattacharya, Nupur
Mu, Jian
Setiadi, A Francesca
Carcamo-Cavazos, Valeria
Lee, Gerald H
Simons, Diana L
Yadegarynia, Sina
Hemati, Kaveh
Kapelner, Adam
Ming, Zheng
Krag, David N
Schwartz, Erich J
Chen, Danny Z
Lee, Peter P
author_facet Chang, Andrew Y
Bhattacharya, Nupur
Mu, Jian
Setiadi, A Francesca
Carcamo-Cavazos, Valeria
Lee, Gerald H
Simons, Diana L
Yadegarynia, Sina
Hemati, Kaveh
Kapelner, Adam
Ming, Zheng
Krag, David N
Schwartz, Erich J
Chen, Danny Z
Lee, Peter P
author_sort Chang, Andrew Y
collection PubMed
description BACKGROUND: Dendritic cells (DCs) are important mediators of anti-tumor immune responses. We hypothesized that an in-depth analysis of dendritic cells and their spatial relationships to each other as well as to other immune cells within tumor draining lymph nodes (TDLNs) could provide a better understanding of immune function and dysregulation in cancer. METHODS: We analyzed immune cells within TDLNs from 59 breast cancer patients with at least 5 years of clinical follow-up using immunohistochemical staining with a novel quantitative image analysis system. We developed algorithms to analyze spatial distribution patterns of immune cells in cancer versus healthy intra-mammary lymph nodes (HLNs) to derive information about possible mechanisms underlying immune-dysregulation in breast cancer. We used the non-parametric Mann–Whitney test for inter-group comparisons, Wilcoxon Matched-Pairs Signed Ranks test for intra-group comparisons and log-rank (Mantel-Cox) test for Kaplan Maier analyses. RESULTS: Degree of clustering of DCs (in terms of spatial proximity of the cells to each other) was reduced in TDLNs compared to HLNs. While there were more numerous DC clusters in TDLNs compared to HLNs,DC clusters within TDLNs tended to have fewer member DCs and also consisted of fewer cells displaying the DC maturity marker CD83. The average number of T cells within a standardized radius of a clustered DC was increased compared to that of an unclustered DC, suggesting that DC clustering was associated with T cell interaction. Furthermore, the number of T cells within the radius of a clustered DC was reduced in tumor-positive TDLNs compared to HLNs. Importantly, clinical outcome analysis revealed that DC clustering in tumor-positive TDLNs correlated with the duration of disease-free survival in breast cancer patients. CONCLUSIONS: These findings are the first to describe the spatial organization of DCs within TDLNs and their association with survival outcome. In addition, we characterized specific changes in number, size, maturity, and T cell co-localization of such clusters. Strategies to enhance DC function in-vivo, including maturation and clustering, may provide additional tools for developing more efficacious DC cancer vaccines.
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spelling pubmed-38522602013-12-06 Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients Chang, Andrew Y Bhattacharya, Nupur Mu, Jian Setiadi, A Francesca Carcamo-Cavazos, Valeria Lee, Gerald H Simons, Diana L Yadegarynia, Sina Hemati, Kaveh Kapelner, Adam Ming, Zheng Krag, David N Schwartz, Erich J Chen, Danny Z Lee, Peter P J Transl Med Research BACKGROUND: Dendritic cells (DCs) are important mediators of anti-tumor immune responses. We hypothesized that an in-depth analysis of dendritic cells and their spatial relationships to each other as well as to other immune cells within tumor draining lymph nodes (TDLNs) could provide a better understanding of immune function and dysregulation in cancer. METHODS: We analyzed immune cells within TDLNs from 59 breast cancer patients with at least 5 years of clinical follow-up using immunohistochemical staining with a novel quantitative image analysis system. We developed algorithms to analyze spatial distribution patterns of immune cells in cancer versus healthy intra-mammary lymph nodes (HLNs) to derive information about possible mechanisms underlying immune-dysregulation in breast cancer. We used the non-parametric Mann–Whitney test for inter-group comparisons, Wilcoxon Matched-Pairs Signed Ranks test for intra-group comparisons and log-rank (Mantel-Cox) test for Kaplan Maier analyses. RESULTS: Degree of clustering of DCs (in terms of spatial proximity of the cells to each other) was reduced in TDLNs compared to HLNs. While there were more numerous DC clusters in TDLNs compared to HLNs,DC clusters within TDLNs tended to have fewer member DCs and also consisted of fewer cells displaying the DC maturity marker CD83. The average number of T cells within a standardized radius of a clustered DC was increased compared to that of an unclustered DC, suggesting that DC clustering was associated with T cell interaction. Furthermore, the number of T cells within the radius of a clustered DC was reduced in tumor-positive TDLNs compared to HLNs. Importantly, clinical outcome analysis revealed that DC clustering in tumor-positive TDLNs correlated with the duration of disease-free survival in breast cancer patients. CONCLUSIONS: These findings are the first to describe the spatial organization of DCs within TDLNs and their association with survival outcome. In addition, we characterized specific changes in number, size, maturity, and T cell co-localization of such clusters. Strategies to enhance DC function in-vivo, including maturation and clustering, may provide additional tools for developing more efficacious DC cancer vaccines. BioMed Central 2013-10-02 /pmc/articles/PMC3852260/ /pubmed/24088396 http://dx.doi.org/10.1186/1479-5876-11-242 Text en Copyright © 2013 Chang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Chang, Andrew Y
Bhattacharya, Nupur
Mu, Jian
Setiadi, A Francesca
Carcamo-Cavazos, Valeria
Lee, Gerald H
Simons, Diana L
Yadegarynia, Sina
Hemati, Kaveh
Kapelner, Adam
Ming, Zheng
Krag, David N
Schwartz, Erich J
Chen, Danny Z
Lee, Peter P
Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title_full Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title_fullStr Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title_full_unstemmed Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title_short Spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
title_sort spatial organization of dendritic cells within tumor draining lymph nodes impacts clinical outcome in breast cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852260/
https://www.ncbi.nlm.nih.gov/pubmed/24088396
http://dx.doi.org/10.1186/1479-5876-11-242
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