Evidence map›Paper›PMID 29755769›Full record

ArticleJournal of gastrointestinal oncology2018

An assessment of candidate genes to assist prognosis in gastric cancer.

Michael McFarlane, Julia Brettschneider, Adrian Gelsthorpe, Sean James, David Snead, Kishore Gopalakrishnan, Hisham Mehenna, Janusz Jankowski, Ramesh Arasaradnam, Chuka Nwokolo

Open access · hybridAbstract read
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Article in Journal of gastrointestinal oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 8 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 5 institutions in 1 country.

Michael McFarlaneDepartment of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, UK.
Julia BrettschneiderDepartment of Statistics, University of Warwick, Coventry, UK.
Adrian GelsthorpeDepartment of Gastroenterology, Leicester General Hospital, Leicester, UK.
Sean JamesDepartment of Biomedical Sciences, University Hospital Coventry & Warwickshire, Coventry, UK.
David SneadDepartment of Pathology, University Hospital Coventry & Warwickshire, Coventry, UK.
Kishore GopalakrishnanDepartment of Pathology, University Hospital Coventry & Warwickshire, Coventry, UK.
Hisham MehennaDepartment of ENT, University Hospital Birmingham, Birmingham, UK.
Janusz JankowskiDepartment of Medicine, University of Central Lancashire, Lancashire, UK.
Ramesh ArasaradnamDepartment of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, UK.
Chuka NwokoloDepartment of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, UK.
University Hospital Coventry · GBLeicester General Hospital · GBNIHR Surgical Reconstruction and Microbiology Research Centre · GBUniversity of Central Lancashire · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is the fourth commonest cancer worldwide, with the second highest mortality rate. Its poor mortality is linked to delayed presentation. There is a drive towards non-invasive biomarker screening and monitoring of many different types of cancer, although with limited success so far. We aimed to determine if any genes from a 32-gene panel could be used to determine GC prognosis.

methodsWe carried out a retrospective study on the expression of 32 genes, selected for their proven or potential links to GC, on historic formalin fixed paraffin-embedded (FFPE) GC specimens from our unit. Gene expression was measured using quantitative nuclease protection assays (qNPA) technology. Following statistical analysis of the results, immunohistochemical staining for eight genes, both discriminating and non-discriminating, was conducted in seven age and sex matched non-metastatic: metastatic GC pairings. The stained samples were reviewed by two blinded consultant histopathologists.

resultsMultivariate Cox analysis of the gene expression data revealed metastatic status, age, sex and five genes appeared to influence GC survival. Genes negatively influencing survival included

conclusionsOur study found several genes whose expression may affect GC prognosis. However, immunohistochemical analysis revealed no association between gene expression and protein expression. It remains to be determined whether gene expression or protein expression are reliable means of assessing GC prognosis.

Indexed as

Gastric cancer (GC)genesprognosisproteinquantitative nuclease protection assays (qNPA)

Identifiers

PMID29755769
PMCPMC5934144
OpenAlexW2786446944

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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.