Cargando…

Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis

PURPOSE: The number of M1-like and M2-like tumour-associated macrophages (TAMs) and their ratio can play a role in breast cancer development and progression. Early clinical trials using macrophage targeting compounds are currently ongoing. However, the most optimal detection method of M1-like and M2...

Descripción completa

Detalles Bibliográficos
Autores principales: Zwager, Mieke C., Bense, Rico, Waaijer, Stijn, Qiu, Si-Qi, Timmer-Bosscha, Hetty, de Vries, Elisabeth G. E., Schröder, Carolien P., van der Vegt, Bert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883348/
https://www.ncbi.nlm.nih.gov/pubmed/36622544
http://dx.doi.org/10.1007/s10549-022-06859-y
_version_ 1784879489881210880
author Zwager, Mieke C.
Bense, Rico
Waaijer, Stijn
Qiu, Si-Qi
Timmer-Bosscha, Hetty
de Vries, Elisabeth G. E.
Schröder, Carolien P.
van der Vegt, Bert
author_facet Zwager, Mieke C.
Bense, Rico
Waaijer, Stijn
Qiu, Si-Qi
Timmer-Bosscha, Hetty
de Vries, Elisabeth G. E.
Schröder, Carolien P.
van der Vegt, Bert
author_sort Zwager, Mieke C.
collection PubMed
description PURPOSE: The number of M1-like and M2-like tumour-associated macrophages (TAMs) and their ratio can play a role in breast cancer development and progression. Early clinical trials using macrophage targeting compounds are currently ongoing. However, the most optimal detection method of M1-like and M2-like macrophage subsets and their clinical relevance in breast cancer is still unclear. We aimed to optimize the assessment of TAM subsets in different breast cancer subtypes, and therefore related TAM subset numbers and ratio to clinicopathological characteristics and clinical outcome. METHODS: Tissue microarrays of 347 consecutive primary Luminal-A, Luminal-B, HER2-positive and triple-negative tumours of patients with early-stage breast cancer were serially sectioned and immunohistochemically stained for the pan-macrophage marker CD68 and the M2-like macrophage markers CD163, CSF-1R and CD206. TAM numbers were quantified using a digital image analysis algorithm. M1-like macrophage numbers were calculated by subtracting M2-like TAM numbers from the total TAM number. RESULTS: M2-like markers CD163 and CSF-1R showed a moderate positive association with each other and with CD68 (r ≥ 0.47), but only weakly with CD206 (r ≤ 0.06). CD68 + , CD163 + and CSF-1R + macrophages correlated with tumour grade in Luminal-B tumours (P < 0.001). Total or subset TAM numbers did not correlate with disease outcome in any breast cancer subtype. CONCLUSION: In conclusion, macrophages and their subsets can be detected by means of a panel of TAM markers and are related to unfavourable clinicopathological characteristics in Luminal-B breast cancer. However, their impact on outcome remains unclear. Preferably, this should be determined in prospective series. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-022-06859-y.
format Online
Article
Text
id pubmed-9883348
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-98833482023-01-29 Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis Zwager, Mieke C. Bense, Rico Waaijer, Stijn Qiu, Si-Qi Timmer-Bosscha, Hetty de Vries, Elisabeth G. E. Schröder, Carolien P. van der Vegt, Bert Breast Cancer Res Treat Preclinical Study PURPOSE: The number of M1-like and M2-like tumour-associated macrophages (TAMs) and their ratio can play a role in breast cancer development and progression. Early clinical trials using macrophage targeting compounds are currently ongoing. However, the most optimal detection method of M1-like and M2-like macrophage subsets and their clinical relevance in breast cancer is still unclear. We aimed to optimize the assessment of TAM subsets in different breast cancer subtypes, and therefore related TAM subset numbers and ratio to clinicopathological characteristics and clinical outcome. METHODS: Tissue microarrays of 347 consecutive primary Luminal-A, Luminal-B, HER2-positive and triple-negative tumours of patients with early-stage breast cancer were serially sectioned and immunohistochemically stained for the pan-macrophage marker CD68 and the M2-like macrophage markers CD163, CSF-1R and CD206. TAM numbers were quantified using a digital image analysis algorithm. M1-like macrophage numbers were calculated by subtracting M2-like TAM numbers from the total TAM number. RESULTS: M2-like markers CD163 and CSF-1R showed a moderate positive association with each other and with CD68 (r ≥ 0.47), but only weakly with CD206 (r ≤ 0.06). CD68 + , CD163 + and CSF-1R + macrophages correlated with tumour grade in Luminal-B tumours (P < 0.001). Total or subset TAM numbers did not correlate with disease outcome in any breast cancer subtype. CONCLUSION: In conclusion, macrophages and their subsets can be detected by means of a panel of TAM markers and are related to unfavourable clinicopathological characteristics in Luminal-B breast cancer. However, their impact on outcome remains unclear. Preferably, this should be determined in prospective series. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-022-06859-y. Springer US 2023-01-09 2023 /pmc/articles/PMC9883348/ /pubmed/36622544 http://dx.doi.org/10.1007/s10549-022-06859-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Preclinical Study
Zwager, Mieke C.
Bense, Rico
Waaijer, Stijn
Qiu, Si-Qi
Timmer-Bosscha, Hetty
de Vries, Elisabeth G. E.
Schröder, Carolien P.
van der Vegt, Bert
Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title_full Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title_fullStr Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title_full_unstemmed Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title_short Assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
title_sort assessing the role of tumour-associated macrophage subsets in breast cancer subtypes using digital image analysis
topic Preclinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883348/
https://www.ncbi.nlm.nih.gov/pubmed/36622544
http://dx.doi.org/10.1007/s10549-022-06859-y
work_keys_str_mv AT zwagermiekec assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT benserico assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT waaijerstijn assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT qiusiqi assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT timmerbosschahetty assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT devrieselisabethge assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT schrodercarolienp assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis
AT vandervegtbert assessingtheroleoftumourassociatedmacrophagesubsetsinbreastcancersubtypesusingdigitalimageanalysis