Nature Communications (Dec 2020)

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

  • Jianbo Pan,
  • Yingwei Hu,
  • Shisheng Sun,
  • Lijun Chen,
  • Michael Schnaubelt,
  • David Clark,
  • Minghui Ao,
  • Zhen Zhang,
  • Daniel Chan,
  • Jiang Qian,
  • Hui Zhang

DOI
https://doi.org/10.1038/s41467-020-19976-3
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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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.