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

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

Abstract Inter-tumor heterogeneity is a result of genomic, transcriptional, translational, and post-translational molecular features. To investigate the roles of protein glycosylation in the heterogeneity of high-grade serous ovarian carcinoma (HGSC), we perform mass spectrometry-based glycoproteomi...

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Main Authors: Jianbo Pan, Yingwei Hu, Shisheng Sun, Lijun Chen, Michael Schnaubelt, David Clark, Minghui Ao, Zhen Zhang, Daniel Chan, Jiang Qian, Hui Zhang
Format: Article
Language:English
Published: Nature Portfolio 2020-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19976-3
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