Evidence map›Paper›PMID 19230049›Full record

ArticleWorld journal of gastroenterology2009

Diagnostic model of saliva protein finger print analysis of patients with gastric cancer.

Zheng-Zhi Wu, Ji-Guo Wang, Xiao-Li Zhang

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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  17. Salivary biomarkers in cancer detection.Medical oncology (Northwood, London, England) · 2017
    Review
  18. Cancer Salivary Biomarkers for Tumours Distant to the Oral Cavity.International journal of molecular sciences · 2016
    Review
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  20. 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

3 authors at 2 institutions in 1 country.

Zheng-Zhi WuSouthern Medical University, Guangzhou 510515, Guangdong Province, China. zhengzhw@yahoo.com.cn
Ji-Guo Wang
Xiao-Li Zhang
Southern Medical University · CNSouthern Medical University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the method for early diagnosis of gastric cancer by screening the expression spectrum of saliva protein in gastric cancer patients using mass spectrometry for proteomics.

methodsProportional peptide mass fingerprints were obtained by analysis based on proteomics matrix-assisted laser desorption ionization time-of-flight/mass spectrometry. A diagnosis model was established using weak cation exchange magnetic beads to test saliva specimens from gastric cancer patients and healthy subjects.

resultsSignificant differences were observed in the mass to charge ratio (m/z) peaks of four proteins (1472.78 Da, 2936.49 Da, 6556.81 Da and 7081.17 Da) between gastric cancer patients and healthy subjects.

conclusionThe finger print mass spectrum of saliva protein in patients with gastric cancer can be established using gastric cancer proteomics. A diagnostic model for distinguishing protein expression mass spectra of gastric cancer from non-gastric-cancer saliva can be established according to the different expression of proteins 1472.78 Da, 2936.49 Da, 6556.81 Da and 7081.17 Da. The method for early diagnosis of gastric cancer is of certain value for screening special biological markers.

Indexed as

Early Detection of CancerHumansMolecular WeightMucoproteinsPeptide MappingProteomicsReference ValuesSalivary Proteins and PeptidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStomach NeoplasmsMucoproteinsSalivary Proteins and Peptides

Identifiers

PMID19230049
PMCPMC2653388
OpenAlexW2164057630

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.