Evidence map›Paper›PMID 27764122›Full record

ArticlePloS one2016

Blood Plasma-Derived Anti-Glycan Antibodies to Sialylated and Sulfated Glycans Identify Ovarian Cancer Patients.

Tatiana Pochechueva, Alexander Chinarev, Andreas Schoetzau, André Fedier, Nicolai V Bovin, Neville F Hacker, Francis Jacob, Viola Heinzelmann-Schwarz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  3. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
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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

8 authors at 4 institutions in 3 countries.

Tatiana PochechuevaOvarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
Alexander ChinarevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, ul. MIklukho-Maklaya, 16/10, 117997, Moscow, Russian Federation.
Andreas SchoetzauOvarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
André FedierOvarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
Nicolai V BovinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, ul. MIklukho-Maklaya, 16/10, 117997, Moscow, Russian Federation.
Neville F HackerRoyal Hospital for Women, Gynecological Cancer Centre, School of Women's and Children's Health, University of New South Wales, NSW 2031, Sydney, Australia.
Francis JacobOvarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
Viola Heinzelmann-SchwarzOvarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
University Hospital of Basel · CHInstitute of Bioorganic Chemistry · RUUniversity of Basel · CHUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Altered levels of naturally occurring anti-glycan antibodies (AGA) circulating in human blood plasma are found in different pathologies including cancer. Here the levels of AGA directed against 22 negatively charged (sialylated and sulfated) glycans were assessed in high-grade serous ovarian cancer (HGSOC, n = 22) patients and benign controls (n = 31) using our previously developed suspension glycan array (SGA). Specifically, the ability of AGA to differentiate between controls and HGSOC, the most common and aggressive type of ovarian cancer with a poor outcome was determined. Results were compared to CA125, the commonly used ovarian cancer biomarker. AGA to seven glycans that significantly (P<0.05) differentiated between HGSOC and control were identified: AGA to top candidates SiaTn and 6-OSulfo-TF (both IgM) differentiated comparably to CA125. The area under the curve (AUC) of a panel of AGA to 5 glycans (SiaTn, 6-OSulfo-TF, 6-OSulfo-LN, SiaLea, and GM2) (0.878) was comparable to CA125 (0.864), but it markedly increased (0.985) when combined with CA125. AGA to SiaTn and 6-OSulfo-TF were also valuable predictors for HGSOC when CA125 values appeared inconclusive, i.e. were below a certain threshold. AGA-glycan binding was in some cases isotype-dependent and sensitive to glycosidic linkage switch (α2-6 vs. α2-3), to sialylation, and to sulfation of the glycans. In conclusion, plasma-derived AGA to sialylated and sulfated glycans including SiaTn and 6-OSulfo-TF detected by SGA present a valuable alternative to CA125 for differentiating controls from HGSOC patients and for predicting the likelihood of HGSOC, and may be potential HGSOC tumor markers.

Indexed as

AgedAntibodiesArea Under CurveBiomarkers, TumorCA-125 AntigenCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansMicroarray AnalysisMiddle AgedNeoplasm GradingNeuraminic AcidsOvarian NeoplasmsPolysaccharidesROC CurveAntibodiesBiomarkers, TumorCA-125 AntigenNeuraminic AcidsPolysaccharidesSulfates

Identifiers

PMID27764122
PMCPMC5072665
OpenAlexW2533068043

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.