Cargando…

Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome

While tumor infiltration by CD8(+) T cells is now widely accepted to predict outcomes, the clinical significance of intratumoral B cells is less clear. We hypothesized that spatial distribution rather than density of B cells within tumors may provide prognostic significance. We developed statistical...

Descripción completa

Detalles Bibliográficos
Autores principales: Wortman, Juliana C., He, Ting-Fang, Solomon, Shawn, Zhang, Robert Z., Rosario, Anthony, Wang, Roger, Tu, Travis Y., Schmolze, Daniel, Yuan, Yuan, Yost, Susan E., Li, Xuefei, Levine, Herbert, Atwal, Gurinder, Lee, Peter P., Yu, Clare C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249408/
https://www.ncbi.nlm.nih.gov/pubmed/34210991
http://dx.doi.org/10.1038/s41523-021-00291-z
_version_ 1783716898741944320
author Wortman, Juliana C.
He, Ting-Fang
Solomon, Shawn
Zhang, Robert Z.
Rosario, Anthony
Wang, Roger
Tu, Travis Y.
Schmolze, Daniel
Yuan, Yuan
Yost, Susan E.
Li, Xuefei
Levine, Herbert
Atwal, Gurinder
Lee, Peter P.
Yu, Clare C.
author_facet Wortman, Juliana C.
He, Ting-Fang
Solomon, Shawn
Zhang, Robert Z.
Rosario, Anthony
Wang, Roger
Tu, Travis Y.
Schmolze, Daniel
Yuan, Yuan
Yost, Susan E.
Li, Xuefei
Levine, Herbert
Atwal, Gurinder
Lee, Peter P.
Yu, Clare C.
author_sort Wortman, Juliana C.
collection PubMed
description While tumor infiltration by CD8(+) T cells is now widely accepted to predict outcomes, the clinical significance of intratumoral B cells is less clear. We hypothesized that spatial distribution rather than density of B cells within tumors may provide prognostic significance. We developed statistical techniques (fractal dimension differences and a box-counting method ‘occupancy’) to analyze the spatial distribution of tumor-infiltrating lymphocytes (TILs) in human triple-negative breast cancer (TNBC). Our results indicate that B cells in good outcome tumors (no recurrence within 5 years) are spatially dispersed, while B cells in poor outcome tumors (recurrence within 3 years) are more confined. While most TILs are located within the stroma, increased numbers of spatially dispersed lymphocytes within cancer cell islands are associated with a good prognosis. B cells and T cells often form lymphocyte clusters (LCs) identified via density-based clustering. LCs consist either of T cells only or heterotypic mixtures of B and T cells. Pure B cell LCs were negligible in number. Compared to tertiary lymphoid structures (TLS), LCs have fewer lymphocytes at lower densities. Both types of LCs are more abundant and more spatially dispersed in good outcomes compared to poor outcome tumors. Heterotypic LCs in good outcome tumors are smaller and more numerous compared to poor outcome. Heterotypic LCs are also closer to cancer islands in a good outcome, with LC size decreasing as they get closer to cancer cell islands. These results illuminate the significance of the spatial distribution of B cells and LCs within tumors.
format Online
Article
Text
id pubmed-8249408
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82494082021-07-20 Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome Wortman, Juliana C. He, Ting-Fang Solomon, Shawn Zhang, Robert Z. Rosario, Anthony Wang, Roger Tu, Travis Y. Schmolze, Daniel Yuan, Yuan Yost, Susan E. Li, Xuefei Levine, Herbert Atwal, Gurinder Lee, Peter P. Yu, Clare C. NPJ Breast Cancer Article While tumor infiltration by CD8(+) T cells is now widely accepted to predict outcomes, the clinical significance of intratumoral B cells is less clear. We hypothesized that spatial distribution rather than density of B cells within tumors may provide prognostic significance. We developed statistical techniques (fractal dimension differences and a box-counting method ‘occupancy’) to analyze the spatial distribution of tumor-infiltrating lymphocytes (TILs) in human triple-negative breast cancer (TNBC). Our results indicate that B cells in good outcome tumors (no recurrence within 5 years) are spatially dispersed, while B cells in poor outcome tumors (recurrence within 3 years) are more confined. While most TILs are located within the stroma, increased numbers of spatially dispersed lymphocytes within cancer cell islands are associated with a good prognosis. B cells and T cells often form lymphocyte clusters (LCs) identified via density-based clustering. LCs consist either of T cells only or heterotypic mixtures of B and T cells. Pure B cell LCs were negligible in number. Compared to tertiary lymphoid structures (TLS), LCs have fewer lymphocytes at lower densities. Both types of LCs are more abundant and more spatially dispersed in good outcomes compared to poor outcome tumors. Heterotypic LCs in good outcome tumors are smaller and more numerous compared to poor outcome. Heterotypic LCs are also closer to cancer islands in a good outcome, with LC size decreasing as they get closer to cancer cell islands. These results illuminate the significance of the spatial distribution of B cells and LCs within tumors. Nature Publishing Group UK 2021-07-01 /pmc/articles/PMC8249408/ /pubmed/34210991 http://dx.doi.org/10.1038/s41523-021-00291-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wortman, Juliana C.
He, Ting-Fang
Solomon, Shawn
Zhang, Robert Z.
Rosario, Anthony
Wang, Roger
Tu, Travis Y.
Schmolze, Daniel
Yuan, Yuan
Yost, Susan E.
Li, Xuefei
Levine, Herbert
Atwal, Gurinder
Lee, Peter P.
Yu, Clare C.
Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title_full Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title_fullStr Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title_full_unstemmed Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title_short Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
title_sort spatial distribution of b cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249408/
https://www.ncbi.nlm.nih.gov/pubmed/34210991
http://dx.doi.org/10.1038/s41523-021-00291-z
work_keys_str_mv AT wortmanjulianac spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT hetingfang spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT solomonshawn spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT zhangrobertz spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT rosarioanthony spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT wangroger spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT tutravisy spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT schmolzedaniel spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT yuanyuan spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT yostsusane spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT lixuefei spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT levineherbert spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT atwalgurinder spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT leepeterp spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome
AT yuclarec spatialdistributionofbcellsandlymphocyteclustersasapredictoroftriplenegativebreastcanceroutcome