Evidence map›Paper›PMID 24343817›Full record

ArticlePathology oncology research : POR2014

Salivary proteomic analysis of diabetic patients for possible oral squamous cell carcinoma biomarkers.

Veronika A Jancsik, Gabor Gelencser, Gabor Maasz, Janos Schmidt, Gergo A Molnar, Istvan Wittmann, Lajos Olasz, Laszlo Mark

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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 2 institutions in 1 country.

Veronika A JancsikDepartment of Dentistry, Oral and Maxillofacial Surgery, Medical School, University of Pecs, 5 Dischka G. str., Pecs, 7620, Hungary.
Gabor Gelencser
Gabor Maasz
Janos Schmidt
Gergo A Molnar
Istvan Wittmann
Lajos Olasz
Laszlo Mark
University of Pecs · HUInstitute of Biochemistry · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since oral squamous cell carcinoma (OSCC) is one of the most important causes of death worldwide, the prevention and early detection plays a crucial role. Recent epidemiological studies have incriminated diabetes as a risk factor for the development of OSCC, as well as oral premalignant lesions. As for the last 20 years diabetes and oral squamous cell carcinoma rates have been increasing rapidly, therefore a reliable detection method of major saliva proteins as possible biomarkers for OSCC is of key priority. In this study we collected whole saliva samples from patients with diabetes and from healthy subjects. To reduce the risk of failure and to keep the investigation good reproducible, we proposed an examination and saliva collecting technique. The proteins were analyzed using SDS-PAGE and MALDI TOF/TOF mass spectrometry. Our findings show that the expression of Annexin A8, Peroxiredoxin-2 and Tyrosine kinase is elevated by patients having diabetes. All these proteins have been previously described in cancer saliva samples also in OSCC. Our current findings showed that testing saliva may be an effective and reliable method for detecting oral cancer in early stages.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2Electrophoresis, Gel, Two-DimensionalFemaleFollow-Up StudiesHumansMaleMiddle AgedMouth NeoplasmsPrognosisProteomeBiomarkers, TumorProteome

Identifiers

PMID24343817
OpenAlexW1993383972

What OpenQuestion holds

Textmetadata
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.