Evidence map›Paper›PMID 25232233›Full record

ReviewWorld journal of gastroenterology2014

Microarray analysis in gastric cancer: a review.

Giovanna D'Angelo, Teresa Di Rienzo, Veronica Ojetti

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Hypermethylation of theCancer management and research · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Let-7b inhibits cell proliferation, migration, and invasion through targeting Cthrc1 in gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  15. 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 1 institution in 1 country.

Giovanna D'AngeloGiovanna D'Angelo, Teresa Di Rienzo, Veronica Ojetti, Department of Internal Medicine and Gastroenterology, Catholic University, 00168 Rome, Italy.
Teresa Di RienzoGiovanna D'Angelo, Teresa Di Rienzo, Veronica Ojetti, Department of Internal Medicine and Gastroenterology, Catholic University, 00168 Rome, Italy.
Veronica OjettiGiovanna D'Angelo, Teresa Di Rienzo, Veronica Ojetti, Department of Internal Medicine and Gastroenterology, Catholic University, 00168 Rome, Italy.
Università Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most common tumors worldwide. Although several treatment options have been developed, the mortality rate is increasing. Lymph node involvement is considered the most reliable prognostic indicator in gastric cancer. Early diagnosis improves the survival rate of patients and increases the likelihood of successful treatment. The most reliable diagnostic method is endoscopic examination, however, it is expensive and not feasible in poorer countries. Therefore, many innovative techniques have been studied to develop a new non-invasive screening test and to identify specific serum biomarkers. DNA microarray analysis is one of the new technologies able to measure the expression levels of a large number of genes simultaneously. It is possible to define the gene expression profile of the tumor and to correlate it with the prognosis and metastasis formation. Several studies in the literature have been published on the role of microarray analysis in gastric cancer and the mechanisms of proliferation and metastasis formation. The aim of this review is to analyze the importance of microarray analysis and its clinical applications to better define the genetic characteristics of gastric cancer and its possible implications in a more decisive treatment.

Indexed as

Oligonucleotide Array Sequence AnalysisAnimalsBiomarkers, TumorEarly Detection of CancerGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic TestingHumansPhenotypePredictive Value of TestsPrognosisRisk AssessmentRisk FactorsStomach NeoplasmsBiomarkers, TumorArrayChemotherapyGastric cancerGenesPrognosis

Identifiers

PMID25232233
PMCPMC4161784
OpenAlexW2152026370

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.