Cargando…
Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy
Some triple-negative breast cancer (TNBC) patients evaluated as Miller-Payne 4 with ypN0 after neoadjuvant chemotherapy (NACT) who have better prognoses should avoid escalation of therapy. We aim to identify these patients by evaluating pretherapeutic spatial distributions of immunophenotypes. Our r...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338497/ https://www.ncbi.nlm.nih.gov/pubmed/37438419 http://dx.doi.org/10.1038/s41523-023-00565-8 |
_version_ | 1785071640832376832 |
---|---|
author | Ma, Jianli Deng, Yuwei Chen, Dawei Li, Xiaomei Yu, Zhiyong Wang, Haibo Zhong, Lei Li, Yingjie Wang, Chengqin Li, Xiang Yu, Jinming Zhang, Qingyuan |
author_facet | Ma, Jianli Deng, Yuwei Chen, Dawei Li, Xiaomei Yu, Zhiyong Wang, Haibo Zhong, Lei Li, Yingjie Wang, Chengqin Li, Xiang Yu, Jinming Zhang, Qingyuan |
author_sort | Ma, Jianli |
collection | PubMed |
description | Some triple-negative breast cancer (TNBC) patients evaluated as Miller-Payne 4 with ypN0 after neoadjuvant chemotherapy (NACT) who have better prognoses should avoid escalation of therapy. We aim to identify these patients by evaluating pretherapeutic spatial distributions of immunophenotypes. Our retrospective study in patients with TNBC assessed as Miller-Payne grade 4/5 with ypN0 showed that Miller-Payne 4 with ypN0 group had poorer 5-year disease-free survival (DFS, 63.8% vs. 83.0%, p = 0.003) and the 5-year overall survival (OS, 71.0% vs. 85.5%, p = 0.007) than Miller-Payne 5 with ypN0 group. High TILs were significantly associated with better DFS and OS in patients with Miller-Payne 4 and ypN0 (both p = 0.016). Spatially, detected by multiplexed ion beam imaging by the time of flight combined with proteomics, tumors assessed as Miller-Payne 4 and ypN0 with good prognosis exhibited an inflamed phenotype, with dominant CD8+ T cells on tumor center, few scattered CD68+ myeloid-derived cells far away from T cells, and deposit of increased activated molecules of lymphocyte. While those with poor prognoses presented excluded phenotypes, with few CD8+ T cells restricted to invasive margins and a high density of CD14(+)CD68(+)CD11c(+) myeloid cells. A good classifier model based on 29 spatial immunophenotypes was established by the random forest algorithm (AUC = 0.975), for identifying patients with Miller-Payne 4 and ypN0 who had favorable prognoses. We also observed similar signatures in patients with Miller-Payne 5 and ypN0. Taken together, spatial immunophenotypes may assess the prognosis in TNBC patients with Miller-Payne 4 and ypN0 after NACT. |
format | Online Article Text |
id | pubmed-10338497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103384972023-07-14 Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy Ma, Jianli Deng, Yuwei Chen, Dawei Li, Xiaomei Yu, Zhiyong Wang, Haibo Zhong, Lei Li, Yingjie Wang, Chengqin Li, Xiang Yu, Jinming Zhang, Qingyuan NPJ Breast Cancer Article Some triple-negative breast cancer (TNBC) patients evaluated as Miller-Payne 4 with ypN0 after neoadjuvant chemotherapy (NACT) who have better prognoses should avoid escalation of therapy. We aim to identify these patients by evaluating pretherapeutic spatial distributions of immunophenotypes. Our retrospective study in patients with TNBC assessed as Miller-Payne grade 4/5 with ypN0 showed that Miller-Payne 4 with ypN0 group had poorer 5-year disease-free survival (DFS, 63.8% vs. 83.0%, p = 0.003) and the 5-year overall survival (OS, 71.0% vs. 85.5%, p = 0.007) than Miller-Payne 5 with ypN0 group. High TILs were significantly associated with better DFS and OS in patients with Miller-Payne 4 and ypN0 (both p = 0.016). Spatially, detected by multiplexed ion beam imaging by the time of flight combined with proteomics, tumors assessed as Miller-Payne 4 and ypN0 with good prognosis exhibited an inflamed phenotype, with dominant CD8+ T cells on tumor center, few scattered CD68+ myeloid-derived cells far away from T cells, and deposit of increased activated molecules of lymphocyte. While those with poor prognoses presented excluded phenotypes, with few CD8+ T cells restricted to invasive margins and a high density of CD14(+)CD68(+)CD11c(+) myeloid cells. A good classifier model based on 29 spatial immunophenotypes was established by the random forest algorithm (AUC = 0.975), for identifying patients with Miller-Payne 4 and ypN0 who had favorable prognoses. We also observed similar signatures in patients with Miller-Payne 5 and ypN0. Taken together, spatial immunophenotypes may assess the prognosis in TNBC patients with Miller-Payne 4 and ypN0 after NACT. Nature Publishing Group UK 2023-07-12 /pmc/articles/PMC10338497/ /pubmed/37438419 http://dx.doi.org/10.1038/s41523-023-00565-8 Text en © The Author(s) 2023 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 Ma, Jianli Deng, Yuwei Chen, Dawei Li, Xiaomei Yu, Zhiyong Wang, Haibo Zhong, Lei Li, Yingjie Wang, Chengqin Li, Xiang Yu, Jinming Zhang, Qingyuan Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title | Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title_full | Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title_fullStr | Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title_full_unstemmed | Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title_short | Spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with Miller-Payne grade 4 following neoadjuvant chemotherapy |
title_sort | spatial immunophenotypes orchestrate prognosis in triple-negative breast cancer with miller-payne grade 4 following neoadjuvant chemotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338497/ https://www.ncbi.nlm.nih.gov/pubmed/37438419 http://dx.doi.org/10.1038/s41523-023-00565-8 |
work_keys_str_mv | AT majianli spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT dengyuwei spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT chendawei spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT lixiaomei spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT yuzhiyong spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT wanghaibo spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT zhonglei spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT liyingjie spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT wangchengqin spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT lixiang spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT yujinming spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy AT zhangqingyuan spatialimmunophenotypesorchestrateprognosisintriplenegativebreastcancerwithmillerpaynegrade4followingneoadjuvantchemotherapy |