Evidence map›Paper›PMID 22304416›Full record

ArticleJournal of proteome research2012

N-linked glycan structures and their expressions change in the blood sera of ovarian cancer patients.

William R Alley, Jacqueline A Vasseur, John A Goetz, Martin Svoboda, Benjamin F Mann, Daniela E Matei, Nancy Menning, Ahmed Hussein, Yehia Mechref, Milos V Novotny

Abstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 191 citations in OpenAlex.

  1. Article
  2. High-MannoseJournal of proteome research · 2026
    Article
  3. Article
  4. Glycosylation in Cancer.Handbook of experimental pharmacology · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Glycosylation and its research progress in endometrial cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article

39 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

10 authors at 3 institutions in 1 country.

William R AlleyDepartment of Chemistry, Indiana University, Bloomington, Indiana, United States.
Jacqueline A Vasseur
John A Goetz
Martin Svoboda
Benjamin F Mann
Daniela E Matei
Nancy Menning
Ahmed Hussein
Yehia Mechref
Milos V Novotny
Indiana University Bloomington · USIndiana University School of MedicineIndiana University – Purdue University Indianapolis · US

Funding

TRAININGP41RR018942 · NCRR · TRUSTEES OF INDIANA UNIVERSITY · PI NOVOTNY, MILOS · 2005 to 2008
$3.9M
ULTRASENSITIVE METHODS FOR GLYCOCONJUGATE ANALYSISR01GM024349 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI NOVOTNY, MILOS · 1985 to 2014
$2.9M
Early Cancer Detection & Prognosis through GlycomicsU01CA128535 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI NOVOTNY, MILOS · 2007 to 2011
$1.9M
NCI NIH HHS U01 CA128535NCI NIH HHS UO1 CA128535-03NCRR NIH HHS P41 RR018942NCRR NIH HHS RR018942NIGMS NIH HHS GM24349NIGMS NIH HHS R01 GM024349
6 · The paper itself

Abstract

Glycosylated proteins play important roles in a broad spectrum of biochemical and biological processes, and prior reports have suggested that changes in protein glycosylation occur during cancer initiation and progression. Ovarian cancer (OC) is a fatal malignancy, most commonly diagnosed after the development of metastases. Therefore, early detection of OC is key to improving survival. To this end, specific changes of the serum glycome have been proposed as possible biomarkers for different types of cancers. In this study, we extend this concept to OC. To characterize differences in total N-glycan levels, serum samples provided by 20 healthy control women were compared to those acquired from patients diagnosed with late-stage recurrent OC who were enrolled in an experimental treatment trial prior to receiving therapy (N=19) and one month later, prior to the second treatment cycle (N=11). Additionally, analyses of the N-glycans associated with IgG and characterization of the relative abundance levels of core vs outer-arm fucosylation were also performed. The N-linked glycomic profiles revealed increased abundances of tri- and tetra-branched structures with varying degrees of sialylation and fucosylation and an apparent decrease in the levels of "bisecting" glycans in OC samples compared to controls. Increased levels of a-galactosylation structures were observed on N-linked glycans derived from IgG, which were independent of the presence of fucose residues. Elevated levels of outer-arm fucosylation were also identified in the OC samples. These results allowed the control samples to be distinguished from the baseline ovarian cancer patients prior to receiving the experimental treatment. In some cases, the pre-treatment samples could be distinguished from the post-experimental treatment samples, as many of those patients showed a further progression of the disease.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBenzamidesBiomarkers, TumorCarbohydrate SequenceCase-Control StudiesDocetaxelFemaleFucoseGlycomicsHumansImatinib MesylateImmunoglobulin GMethylationOvarian NeoplasmsPiperazinesPolysaccharidesBenzamidesBiomarkers, TumorDocetaxelFucoseImatinib MesylateImmunoglobulin GPiperazinesPolysaccharidesPyrimidinesTaxoids

Identifiers

PMID22304416
PMCPMC3321095
OpenAlexW2090011301

What OpenQuestion holds

Textmetadata
LicenceTDM
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.