Evidence map›Paper›PMID 28491011›Full record

ArticleClinical proteomics2017

An integrated proteomic and glycoproteomic approach uncovers differences in glycosylation occupancy from benign and malignant epithelial ovarian tumors.

Qing Kay Li, Punit Shah, Yuan Tian, Yingwei Hu, Richard B S Roden, Hui Zhang, Daniel W Chan

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Qing Kay Li *Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.ORCID 0000-0002-1850-4851
Punit Shah *Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Yuan TianDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Yingwei HuDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Richard B S RodenDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Hui ZhangDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Daniel W ChanDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA.
Johns Hopkins University · US

Funding

Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
NCI NIH HHS U24 CA115102
6 · The paper itself

Abstract

backgroundEpithelial ovarian carcinomas encompass a heterogeneous group of diseases with a poor 5-year survival rate. Serous carcinoma is the most common type. Most FDA-approved serum tumor markers are glycoproteins. These glycoproteins on cell surface or shed into the bloodstream could serve as therapeutic targets as well as surrogates of tumor. In addition to glycoprotein expressions, the analysis of protein glycosylation occupancy could be important for the understanding of cancer biology as well as the identification of potential glycoprotein changes in cancer. In this study, we used an integrated proteomics and glycoproteomics approach to analyze global glycoprotein abundance and glycosylation occupancy for proteins from high-grade ovarian serous carcinoma (HGSC) and serous cystadenoma, a benign epithelial ovarian tumor, by using LC-MS/MS-based technique.

methodsFresh-frozen ovarian HGSC tissues and benign serous cystadenoma cases were quantitatively analyzed using isobaric tags for relative and absolute quantitation for both global and glycoproteomic analyses by two dimensional fractionation followed by LC-MS/MS analysis using a Orbitrap Velos mass spectrometer.

resultsProteins and

conclusionIn this study, we presented an integrated proteomics and glycoproteomics approach to identify changes of glycoproteins in protein expression and glycosylation occupancy in HGSC and serous cystadenoma and determined the changes of glycosylation occupancy that are associated with malignant and benign tumor tissues. Specific changes in glycoprotein expression or glycosylation occupancy have the potential to be used in the discrimination between benign and malignant epithelial ovarian tumors and to improve our understanding of ovarian cancer biology.

Indexed as

GlycoproteomicsOvarian high-grade serous carcinomaProteomics

Identifiers

PMID28491011
PMCPMC5424371
OpenAlexW2614075675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.