Evidence map›Paper›PMID 33262351›Full record

ArticleNature communications2020

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 and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 125 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Jianbo PanDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0001-6014-8160
Yingwei HuDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Shisheng SunDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.ORCID 0000-0002-7242-7164
Lijun ChenDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Michael SchnaubeltDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
David ClarkDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Minghui AoDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Zhen ZhangDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Daniel ChanDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Jiang QianDepartment of Ophthalmology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA.
Hui ZhangDepartment of Pathology, Johns Hopkins University, School of Medicine, Baltimore, MD, 21287, USA. huizhang@jhu.edu.ORCID 0000-0001-8726-7098
Johns Hopkins University · US

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HART, GERALD WARREN · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA160036NCI NIH HHS U24 CA210985NHLBI NIH HHS P01 HL107153
6 · The paper itself

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 glycoproteomic characterization of 119 TCGA HGSC tissues. Cluster analysis of intact glycoproteomic profiles delineates 3 major tumor clusters and 5 groups of intact glycopeptides. It also shows a strong relationship between N-glycan structures and tumor molecular subtypes, one example of which being the association of fucosylation with mesenchymal subtype. Further survival analysis reveals that intact glycopeptide signatures of mesenchymal subtype are associated with a poor clinical outcome of HGSC. In addition, we study the expression of mRNAs, proteins, glycosites, and intact glycopeptides, as well as the expression levels of glycosylation enzymes involved in glycoprotein biosynthesis pathways in each tumor. The results show that glycoprotein levels are mainly controlled by the expression of their individual proteins, and, furthermore, that the glycoprotein-modifying glycans correspond to the protein levels of glycosylation enzymes. The variation in glycan types further shows coordination to the tumor heterogeneity. Deeper understanding of the glycosylation process and glycosylation production in different subtypes of HGSC may provide important clues for precision medicine and tumor-targeted therapy.

Indexed as

FemaleGlycopeptidesGlycoproteinsHumansMass SpectrometryNeoplasm StagingOvarian NeoplasmsPolysaccharidesProteomicsGlycopeptidesGlycoproteinsPolysaccharides

Identifiers

PMID33262351
PMCPMC7708455
OpenAlexW3110372791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.