Evidence map›Paper›PMID 28545132›Full record

ArticlePloS one2017

Proteomics investigation of OSCC-specific salivary biomarkers in a Hungarian population highlights the importance of identification of population-tailored biomarkers.

Éva Csősz, Péter Lábiscsák, Gergő Kalló, Bernadett Márkus, Miklós Emri, Adrienn Szabó, Ildikó Tar, József Tőzsér, Csongor Kiss, Ildikó Márton

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 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

10 authors at 1 institution in 1 country.

Éva CsőszDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Péter LábiscsákDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Gergő KallóDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Bernadett MárkusDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Miklós EmriDepartment of Medical Imaging, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Adrienn SzabóDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Ildikó TarDepartment of Periodontology, Faculty of Dentistry, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
József TőzsérDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Csongor KissDepartment of Pediatrics, Faculty of Medicine, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
Ildikó MártonDepartment of Periodontology, Faculty of Dentistry, University of Debrecen, 1. Egyetem ter, Debrecen, Hungary.
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) accounting for about 90% of malignant oral lesions is the 6th most common malignancy worldwide. Diagnostic delay may contribute to dismal survival rate therefore, there is a need for developing specific and sensitive biomarkers to improve early detection. Hungarian population occupies the top places of statistics regarding OSCC incidence and mortality figures therefore, we aimed at finding potential salivary protein biomarkers suitable for the Hungarian population. In this study we investigated 14 proteins which were previously reported as significantly elevated in saliva of patients with OSCC. In case of IL-1α, IL-1β, IL-6, IL-8, TNF-α and VEGF a Luminex-based multiplex kit was utilized and the salivary concentrations were determined. In case of catalase, profilin-1, S100A9, CD59, galectin-3-bindig protein, CD44, thioredoxin and keratin-19, SRM-based targeted proteomic method was developed and the relative amount of the proteins was determined in the saliva of patients with OSCC and controls. After several rounds of optimization and using stable isotope-containing peptides, we developed an SRM-based method for rapid salivary protein detection. The validation of the selected potential biomarkers by ELISA revealed salivary protein S100A9 and IL-6 as useful protein biomarkers for OSCC detection improving the diagnostic accuracy for OSCC in the Hungarian population.A noninvasive diagnostic method to detect biomarkers useful for the early diagnosis of OSCC was developed. This can be an attractive strategy in screening saliva samples collected in a nation-wide multi-centric study in order to decrease morbidity, mortality, to enhance survival rate and to improve quality of life. The heterogeneity of protein biomarkers found in different ethnic groups presented in the literature highlights the importance of identification of population-tailored protein biomarkers.

Indexed as

Biomarkers, TumorCalgranulin BCarcinoma, Squamous CellCase-Control StudiesCytokinesEnzyme-Linked Immunosorbent AssayHumansHungaryInterleukin-6Mouth NeoplasmsProteomicsReproducibility of ResultsROC CurveSalivaSensitivity and SpecificityBiomarkers, TumorCalgranulin BCytokinesIL6 protein, humanInterleukin-6

Identifiers

PMID28545132
PMCPMC5436697
OpenAlexW2614933680

What OpenQuestion holds

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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.