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Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer

BACKGROUND: This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC). METHODS: The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor section...

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Autores principales: Ren, Xinyu, Song, Yu, Pang, Junyi, Chen, Longyun, Zhou, Liangrui, Liang, Zhiyong, Wu, Huanwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117828/
https://www.ncbi.nlm.nih.gov/pubmed/37090736
http://dx.doi.org/10.3389/fimmu.2023.1137561
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author Ren, Xinyu
Song, Yu
Pang, Junyi
Chen, Longyun
Zhou, Liangrui
Liang, Zhiyong
Wu, Huanwen
author_facet Ren, Xinyu
Song, Yu
Pang, Junyi
Chen, Longyun
Zhou, Liangrui
Liang, Zhiyong
Wu, Huanwen
author_sort Ren, Xinyu
collection PubMed
description BACKGROUND: This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC). METHODS: The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed. RESULTS: For all patients, Kaplan–Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P=0.0014; overall survival (OS), P=0.0031) and total region (DFS, P=0.0014; OS, P=0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (P<0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P<0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P<0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P<0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P=0.0213; OS, P=0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival. CONCLUSION: Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy.
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spelling pubmed-101178282023-04-21 Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer Ren, Xinyu Song, Yu Pang, Junyi Chen, Longyun Zhou, Liangrui Liang, Zhiyong Wu, Huanwen Front Immunol Immunology BACKGROUND: This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC). METHODS: The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed. RESULTS: For all patients, Kaplan–Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P=0.0014; overall survival (OS), P=0.0031) and total region (DFS, P=0.0014; OS, P=0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (P<0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P<0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P<0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P<0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P=0.0213; OS, P=0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival. CONCLUSION: Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy. Frontiers Media S.A. 2023-04-06 /pmc/articles/PMC10117828/ /pubmed/37090736 http://dx.doi.org/10.3389/fimmu.2023.1137561 Text en Copyright © 2023 Ren, Song, Pang, Chen, Zhou, Liang and Wu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Ren, Xinyu
Song, Yu
Pang, Junyi
Chen, Longyun
Zhou, Liangrui
Liang, Zhiyong
Wu, Huanwen
Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title_full Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title_fullStr Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title_full_unstemmed Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title_short Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
title_sort prognostic value of various immune cells and immunoscore in triple-negative breast cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117828/
https://www.ncbi.nlm.nih.gov/pubmed/37090736
http://dx.doi.org/10.3389/fimmu.2023.1137561
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