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A novel immune prognostic index for stratification of high-risk patients with early breast cancer

The prognostic value of current multigene assays for breast cancer is limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer. Despite the prognostic significance of immune response-related genes in breast cancer, immune gene signatures have not be...

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Autores principales: Lee, Hannah, Kwon, Mi Jeong, Koo, Beom-Mo, Park, Hee Geon, Han, Jinil, Shin, Young Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794340/
https://www.ncbi.nlm.nih.gov/pubmed/33420250
http://dx.doi.org/10.1038/s41598-020-80274-5
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author Lee, Hannah
Kwon, Mi Jeong
Koo, Beom-Mo
Park, Hee Geon
Han, Jinil
Shin, Young Kee
author_facet Lee, Hannah
Kwon, Mi Jeong
Koo, Beom-Mo
Park, Hee Geon
Han, Jinil
Shin, Young Kee
author_sort Lee, Hannah
collection PubMed
description The prognostic value of current multigene assays for breast cancer is limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer. Despite the prognostic significance of immune response-related genes in breast cancer, immune gene signatures have not been incorporated into most multigene assays. Here, using public gene expression microarray datasets, we classified breast cancer patients into three risk groups according to clinical risk and proliferation risk. We then developed the immune prognostic index based on expression of five immune response-related genes (TRAT1, IL2RB, CTLA4, IGHM and IL21R) and lymph node status to predict the risk of recurrence in the clinical and proliferation high-risk (CPH) group. The 10-year probability of disease-free survival (DFS) or distant metastasis-free survival (DMFS) of patients classified as high risk according to the immune prognostic index was significantly lower than those of patients classified as intermediate or low risk. Multivariate analysis revealed that the index is an independent prognostic factor for DFS or DMFS. Moreover, the C-index revealed that it is superior to clinicopathological variables for predicting prognosis. Its prognostic significance was also validated in independent datasets. The immune prognostic index identified low-risk patients among patients classified as CPH, regardless of the molecular subtype of breast cancer, and may overcome the limitations of current multigene assays.
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spelling pubmed-77943402021-01-11 A novel immune prognostic index for stratification of high-risk patients with early breast cancer Lee, Hannah Kwon, Mi Jeong Koo, Beom-Mo Park, Hee Geon Han, Jinil Shin, Young Kee Sci Rep Article The prognostic value of current multigene assays for breast cancer is limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer. Despite the prognostic significance of immune response-related genes in breast cancer, immune gene signatures have not been incorporated into most multigene assays. Here, using public gene expression microarray datasets, we classified breast cancer patients into three risk groups according to clinical risk and proliferation risk. We then developed the immune prognostic index based on expression of five immune response-related genes (TRAT1, IL2RB, CTLA4, IGHM and IL21R) and lymph node status to predict the risk of recurrence in the clinical and proliferation high-risk (CPH) group. The 10-year probability of disease-free survival (DFS) or distant metastasis-free survival (DMFS) of patients classified as high risk according to the immune prognostic index was significantly lower than those of patients classified as intermediate or low risk. Multivariate analysis revealed that the index is an independent prognostic factor for DFS or DMFS. Moreover, the C-index revealed that it is superior to clinicopathological variables for predicting prognosis. Its prognostic significance was also validated in independent datasets. The immune prognostic index identified low-risk patients among patients classified as CPH, regardless of the molecular subtype of breast cancer, and may overcome the limitations of current multigene assays. Nature Publishing Group UK 2021-01-08 /pmc/articles/PMC7794340/ /pubmed/33420250 http://dx.doi.org/10.1038/s41598-020-80274-5 Text en © The Author(s) 2021 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 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/.
spellingShingle Article
Lee, Hannah
Kwon, Mi Jeong
Koo, Beom-Mo
Park, Hee Geon
Han, Jinil
Shin, Young Kee
A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title_full A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title_fullStr A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title_full_unstemmed A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title_short A novel immune prognostic index for stratification of high-risk patients with early breast cancer
title_sort novel immune prognostic index for stratification of high-risk patients with early breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794340/
https://www.ncbi.nlm.nih.gov/pubmed/33420250
http://dx.doi.org/10.1038/s41598-020-80274-5
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