Evidence map›Paper›PMID 30065196›Full record

ArticleInternational journal of molecular sciences2018

Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery.

Agata Swiatly, Agnieszka Horala, Jan Matysiak, Joanna Hajduk, Ewa Nowak-Markwitz, Zenon J Kokot

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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

6 authors at 1 institution in 1 country.

Agata SwiatlyDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780 Poznań, Poland. agataswiatly@gmail.com.ORCID 0000-0002-3603-0207
Agnieszka HoralaGynecologic Oncology Department, Poznan University of Medical Sciences, ul. Polna 33, 60-535 Poznań, Poland. agnieszka0lemanska@gmail.com.ORCID 0000-0002-5390-9213
Jan MatysiakDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780 Poznań, Poland. jmatysiak@ump.edu.pl.ORCID 0000-0002-9993-1504
Joanna HajdukDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780 Poznań, Poland. jo.hajduk@gmail.com.
Ewa Nowak-MarkwitzGynecologic Oncology Department, Poznan University of Medical Sciences, ul. Polna 33, 60-535 Poznań, Poland. ewamarkwitz@poczta.fm.
Zenon J KokotDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780 Poznań, Poland. zkokot@ump.edu.pl.
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite many years of studies, ovarian cancer remains one of the top ten cancers worldwide. Its high mortality rate is mainly due to lack of sufficient diagnostic methods. For this reason, our research focused on the identification of blood markers whose appearance would precede the clinical manifestation of the disease. ITRAQ-tagging (isobaric Tags for Relative and Absolute Quantification) coupled with mass spectrometry technology was applied. Three groups of samples derived from patients with: ovarian cancer, benign ovarian tumor, and healthy controls, were examined. Mass spectrometry analysis allowed for highlighting the dysregulation of several proteins associated with ovarian cancer. Further validation of the obtained results indicated that five proteins (Serotransferrin, Amyloid A1, Hemopexin, C-reactive protein, Albumin) were differentially expressed in ovarian cancer group. Interestingly, the addition of Albumin, Serotransferrin, and Amyloid A1 to CA125 (cancer antigen 125) and HE4 (human epididymis protein4) improved the diagnostic performance of the model discriminating between benign and malignant tumors. Identified proteins shed light on the molecular signaling pathways that are associated with ovarian cancer development and should be further investigated in future studies. Our findings indicate five proteins with a strong potential to use in a multimarker test for screening and detection of ovarian cancer.

Indexed as

Biomarkers, TumorCA-125 AntigenFemaleHumansOvarian NeoplasmsProteinsProteomicsSerum Amyloid A ProteinTransferrinWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenProteinsSerum Amyloid A ProteinTransferrinWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, humancarcinogenesisisobaric tagsMALDI-TOF MSovarian cancerproteomics

Identifiers

PMID30065196
PMCPMC6121953
OpenAlexW2886987116

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.