Evidence map›Paper›PMID 28683725›Full record

ArticleBMC cancer2017

MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer.

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

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 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.
Agnieszka HoralaGynecologic Oncology Department, Poznan University of Medical Sciences, ul. Polna 33, 60-535, Poznań, Poland.
Joanna HajdukDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780, Poznań, Poland.
Jan MatysiakDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, ul. Grunwaldzka 6, 60-780, Poznań, Poland.
Ewa Nowak-MarkwitzGynecologic Oncology Department, Poznan University of Medical Sciences, ul. Polna 33, 60-535, Poznań, Poland.
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

backgroundDue to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed.

methodsSerum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples.

resultsMain outcome of this study was an identification of potential OC biomarkers by applying liquid chromatography coupled with tandem mass spectrometry. Application of this novel strategy enabled the identification of four potential OC serum biomarkers (complement C3, kininogen-1, inter-alpha-trypsin inhibitor heavy chain H4, and transthyretin). The role of these proteins was discussed in relation to OC pathomechanism.

conclusionsThe study results may contribute to the development of clinically useful multi-component diagnostic tools in OC. In addition, identifying a novel panel of discriminative proteins could provide a new insight into complex signaling and functional networks associated with this multifactorial disease.

Indexed as

Biomarkers, TumorBlood ProteinsProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAdultAgedFemaleHumansMiddle AgedOvarian NeoplasmsPeptidesReproducibility of ResultsROC CurveBiomarkers, TumorBlood ProteinsPeptidesProteomeBiomarkersEpithelial ovarian cancerMALDI-TOFOvarian cancerProtein-peptide profiling

Identifiers

PMID28683725
PMCPMC5501370
OpenAlexW2733788341

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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.