Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer

Altered protein glycosylation is increasingly recognized as a hallmark of cancer. Here, the authors profile the glycoproteome of 119 high-grade serous ovarian carcinoma tissues, showing that glycosylation patterns correlate with tumor molecular subtypes and clinical outcomes.

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Autores principales:	Jianbo Pan, Yingwei Hu, Shisheng Sun, Lijun Chen, Michael Schnaubelt, David Clark, Minghui Ao, Zhen Zhang, Daniel Chan, Jiang Qian, Hui Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/adefa38328f3402b8173eaf99adced3f
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spelling	oai:doaj.org-article:adefa38328f3402b8173eaf99adced3f2021-12-02T14:41:15ZGlycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer10.1038/s41467-020-19976-32041-1723https://doaj.org/article/adefa38328f3402b8173eaf99adced3f2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19976-3https://doaj.org/toc/2041-1723Altered protein glycosylation is increasingly recognized as a hallmark of cancer. Here, the authors profile the glycoproteome of 119 high-grade serous ovarian carcinoma tissues, showing that glycosylation patterns correlate with tumor molecular subtypes and clinical outcomes.Jianbo PanYingwei HuShisheng SunLijun ChenMichael SchnaubeltDavid ClarkMinghui AoZhen ZhangDaniel ChanJiang QianHui ZhangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jianbo Pan Yingwei Hu Shisheng Sun Lijun Chen Michael Schnaubelt David Clark Minghui Ao Zhen Zhang Daniel Chan Jiang Qian Hui Zhang Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
description	Altered protein glycosylation is increasingly recognized as a hallmark of cancer. Here, the authors profile the glycoproteome of 119 high-grade serous ovarian carcinoma tissues, showing that glycosylation patterns correlate with tumor molecular subtypes and clinical outcomes.
format	article
author	Jianbo Pan Yingwei Hu Shisheng Sun Lijun Chen Michael Schnaubelt David Clark Minghui Ao Zhen Zhang Daniel Chan Jiang Qian Hui Zhang
author_facet	Jianbo Pan Yingwei Hu Shisheng Sun Lijun Chen Michael Schnaubelt David Clark Minghui Ao Zhen Zhang Daniel Chan Jiang Qian Hui Zhang
author_sort	Jianbo Pan
title	Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
title_short	Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
title_full	Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
title_fullStr	Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
title_full_unstemmed	Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
title_sort	glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/adefa38328f3402b8173eaf99adced3f
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Glycoproteomics-based signatures for tumor subtyping and clinical outcome prediction of high-grade serous ovarian cancer

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