Evidence map›Paper›PMID 27419373›Full record

ArticleOncotarget2016

A novel gene expression-based prognostic scoring system to predict survival in gastric cancer.

Pin Wang, Yunshan Wang, Bo Hang, Xiaoping Zou, Jian-Hua Mao

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 2 pooled it
13.1field-weighted citation impact, top 1% 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

147 citing papers in PubMed, 2 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
  2. Systematic Review of Prognostic Gene Signature in Gastric Cancer Patients.Frontiers in bioengineering and biotechnology · 2020
    Pooled it
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87 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Pin WangDepartment of Gastroenterology, Drum Tower Clinical Medical School Of Nanjing Medical University, Nanjing, Jiangsu 210008, China.
Yunshan WangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Bo HangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Xiaoping ZouDepartment of Gastroenterology, Drum Tower Clinical Medical School Of Nanjing Medical University, Nanjing, Jiangsu 210008, China.
Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Lawrence Berkeley National Laboratory · USNanjing Medical University · CN

Funding

The Role of Fbxw7 in genetic instability and cancerR01CA116481 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAO, JIAN-HUA · 2008 to 2012
$1.7M
NCI NIH HHS R01 CA116481
6 · The paper itself

Abstract

Analysis of gene expression patterns in gastric cancer (GC) can help to identify a comprehensive panel of gene biomarkers for predicting clinical outcomes and to discover potential new therapeutic targets. Here, a multi-step bioinformatics analytic approach was developed to establish a novel prognostic scoring system for GC. We first identified 276 genes that were robustly differentially expressed between normal and GC tissues, of which, 249 were found to be significantly associated with overall survival (OS) by univariate Cox regression analysis. The biological functions of 249 genes are related to cell cycle, RNA/ncRNA process, acetylation and extracellular matrix organization. A network was generated for view of the gene expression architecture of 249 genes in 265 GCs. Finally, we applied a canonical discriminant analysis approach to identify a 53-gene signature and a prognostic scoring system was established based on a canonical discriminant function of 53 genes. The prognostic scores strongly predicted patients with GC to have either a poor or good OS. Our study raises the prospect that the practicality of GC patient prognosis can be assessed by this prognostic scoring system.

Indexed as

Computational BiologyGene Expression ProfilingGenes, p53HumansPrognosisProportional Hazards ModelsStomach Neoplasmsgastric cancergene biomarkersprognostic score

Identifiers

PMID27419373
PMCPMC5342421
OpenAlexW2473193283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.