Evidence map›Paper›PMID 24834279›Full record

ArticleGastroenterology and hepatology from bed to bench2013

Gastric cardia adenocarcinoma pathway analysis.

Hakimeh Zali, Mostafa Rezaei-Tavirani, Reza Vafaee, Majid Rezaei-Tavirani

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 12 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

4 authors at 2 institutions in 1 country.

Hakimeh ZaliFaculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza VafaeeProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid Rezaei-TaviraniFaculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Shahid Beheshti University of Medical Sciences · IRMedical University of Ilam · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cardia adenocarcinoma (GCA)is one of the few malignancies with unexplained reasons that have increased sharply in developed countries. The purpose of this review was to determine the pathways in GCA to identify new biomarker. So by comparing gene expression in GCA group with normal control identified important pathways. Gene expression data were extracted from the beforehand investigations then differentially expressed genes utilized in DAVID program to explorer and find related pathways. Our findings contain 367 gene names. Out of these 367 proteins, 199 were found to be exclusively expressed in GCA; whereas 168 proteins were detected down-regulated or silenced. The GCA associated diseases based on the differently expressed genes made up of diseases pathway related colorectal cancer, small cell lung cancer, breast cancer and H. pylori infection stomach cancer. KEGG pathways related to GCA contained cell cycle, p53 signaling pathway, DNA replication, toll-like receptor signaling pathway and some other diseases. The GO-discovered categories also demonstrated most biological process and molecular function related to cancer. Up until now, there is no report to introduce influential biomarkers in GCA so, the deregulated genes identified in GCA patterns might be helpful for diagnosis, prognosis and therapies for gastric cancer but validation of these biomarkers is necessary.

Indexed as

BiomarkerGastric cardia adenocarcinomaPathway

Identifiers

PMID24834279
PMCPMC4017529
OpenAlexW1559661483

What OpenQuestion holds

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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.