Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes

Abstract Breast cancer is the most lethal cancer in women and displaying a broad range of heterogeneity in terms of clinical, molecular behavior and response to therapy. Increasing evidence demonstrated that immune-related genes were an important source of prognostic information for several types of...

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Autores principales:	Juan Mei, Ji Zhao, Yi Fu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a74b6c6e03154ddb9d275adaf9a72182
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spelling	oai:doaj.org-article:a74b6c6e03154ddb9d275adaf9a721822021-12-02T16:30:58ZMolecular classification of breast cancer using the mRNA expression profiles of immune-related genes10.1038/s41598-020-61710-y2045-2322https://doaj.org/article/a74b6c6e03154ddb9d275adaf9a721822020-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-61710-yhttps://doaj.org/toc/2045-2322Abstract Breast cancer is the most lethal cancer in women and displaying a broad range of heterogeneity in terms of clinical, molecular behavior and response to therapy. Increasing evidence demonstrated that immune-related genes were an important source of prognostic information for several types of tumors. In this study, the k-mean clustering was applied to gene expression data from the immune-related genes, two molecular clusters were identified for 1980 breast cancer patients. The prognostic significance of the immune-related genes based classification was confirmed in the log-rank test. These clusters were also associated with immune checkpoints, immune-related features and tumor infiltrating levels. In addition, we used the shrunken centroid algorithm to predict the cluster of a given breast cancer sample, and good predictive results were obtained by this algorithm. These results indicated that the proposed classification method is a promising method, and we hope that this method may improve the treatment stratification of breast cancer in the future.Juan MeiJi ZhaoYi FuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Juan Mei Ji Zhao Yi Fu Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
description	Abstract Breast cancer is the most lethal cancer in women and displaying a broad range of heterogeneity in terms of clinical, molecular behavior and response to therapy. Increasing evidence demonstrated that immune-related genes were an important source of prognostic information for several types of tumors. In this study, the k-mean clustering was applied to gene expression data from the immune-related genes, two molecular clusters were identified for 1980 breast cancer patients. The prognostic significance of the immune-related genes based classification was confirmed in the log-rank test. These clusters were also associated with immune checkpoints, immune-related features and tumor infiltrating levels. In addition, we used the shrunken centroid algorithm to predict the cluster of a given breast cancer sample, and good predictive results were obtained by this algorithm. These results indicated that the proposed classification method is a promising method, and we hope that this method may improve the treatment stratification of breast cancer in the future.
format	article
author	Juan Mei Ji Zhao Yi Fu
author_facet	Juan Mei Ji Zhao Yi Fu
author_sort	Juan Mei
title	Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
title_short	Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
title_full	Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
title_fullStr	Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
title_full_unstemmed	Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes
title_sort	molecular classification of breast cancer using the mrna expression profiles of immune-related genes
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/a74b6c6e03154ddb9d275adaf9a72182
work_keys_str_mv	AT juanmei molecularclassificationofbreastcancerusingthemrnaexpressionprofilesofimmunerelatedgenes AT jizhao molecularclassificationofbreastcancerusingthemrnaexpressionprofilesofimmunerelatedgenes AT yifu molecularclassificationofbreastcancerusingthemrnaexpressionprofilesofimmunerelatedgenes
_version_	1718383891439419392

Molecular classification of breast cancer using the mRNA expression profiles of immune-related genes

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