Evidence map›Paper›PMID 26998108›Full record

ArticleOncology letters2016

Novel possibilities in the study of the salivary proteomic profile using SELDI-TOF/MS technology.

Fatima Ardito, Donatella Perrone, Roberto Cocchi, Lucio Lo Russo, Alfredo DE Lillo, Giovanni Giannatempo, Lorenzo Lo Muzio

Abstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

7 authors.

Fatima ArditoDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.
Donatella PerroneDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.
Roberto CocchiDepartment of Maxillofacial Surgery, IRCCS Casa Sollievo della Sofferenza, I-71013 Foggia, Italy.
Lucio Lo RussoDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.
Alfredo DE LilloDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.
Giovanni GiannatempoDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.
Lorenzo Lo MuzioDepartment of Clinical and Experimental Medicine, University of Foggia, I-71122 Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently an increasing interest in exploring human saliva to identify salivary diagnostic and prognostic biomarkers, since the collection of saliva is rapid, non-invasive and stress-free. Diagnostic tests on saliva are common and cost-effective, particularly for patients who need to monitor their hormone levels or the effectiveness of undergoing therapies. Furthermore, salivary diagnostics is ideal for surveillance studies and in situations where fast results and inexpensive technologies are required. The most important constituents of saliva are proteins, the expression levels of which may be modified due to variations of the cellular conditions. Therefore, the different profile of proteins detected in saliva, including their absence, presence or altered levels, is a potential biomarker of certain physiological and/or pathological conditions. A promising novel approach to study saliva is the global analysis of salivary proteins using proteomic techniques. In the present study, surface-enhanced laser desorption/ionization-time-of-flight/mass spectrometry (SELDI-TOF/MS), one of the most recent proteomic tools for the identification of novel biomarkers, is reviewed. In addition, the possible use of this technique in salivary proteomic studies is discussed, since SELDI technology combines the precision of matrix-assisted laser desorption/ionization-TOF/MS proteomic analysis and the high-throughput nature of protein array analysis.

Indexed as

proteomesalivaSELDI-TOF/MS

Identifiers

PMID26998108
PMCPMC4774607

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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.