Evidence map›Paper›PMID 15107828›Full record

ArticleOncogene2004

A multigene expression panel for the molecular diagnosis of Barrett's esophagus and Barrett's adenocarcinoma of the esophagus.

Jan Brabender, Paul Marjoram, Dennis Salonga, Ralf Metzger, Paul M Schneider, Ji Min Park, Sylke Schneider, Arnulf H Hölscher, Jing Yin, Stephen J Meltzer and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Progressive silencing of p14ARF in oesophageal adenocarcinoma.Journal of cellular and molecular medicine · 2009
    Article
  11. Article
  12. Article
  13. Article
  14. In vivo cancer biomarkers of esophageal neoplasia.Cancer biomarkers : section A of Disease markers · 2008
    Review
  15. Towards the molecular characterization of disease: comparison of molecular and histological analysis of esophageal epithelia.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2007
    Article
  16. Article
  17. Surgical management of esophagogastric junction tumors.World journal of gastroenterology · 2006
    Review
  18. Article
  19. 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

13 authors at 3 institutions in 2 countries.

Jan BrabenderDepartment of Visceral and Vascular Surgery, University of Cologne, 50931 Germany. jan.brabender@t-online.de
Paul Marjoram
Dennis Salonga
Ralf Metzger
Paul M Schneider
Ji Min Park
Sylke Schneider
Arnulf H Hölscher
Jing Yin
Stephen J Meltzer
Kathleen D Danenberg
Peter V Danenberg
Reginald V Lord
University of Cologne · DEUniversity of Southern California · USUniversity of Maryland, Baltimore · US

Funding

Comprehensive Biomarker Development in early EsophagogasU01CA085069 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MELTZER, STEPHEN J · 1999 to 2009
$4.8M
The Human Colorectal InstabilitomeR01CA077057 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MELTZER, STEPHEN J · 1998 to 2007
$2.6M
Genomics: Esophageal Metaplasia-Associated MalignancyR01CA001808 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MELTZER, STEPHEN J · 2002 to 2006
$1.9M
Neoplastic Complications in Inflammatory Bowel DiseaseR01CA095323 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MELTZER, STEPHEN J · 2003 to 2007
$1.4M
MOLECULAR PROGNOSTIC INDICATORS IN ESOPHAGEAL CANCERR01CA071716 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DANENBERG, PETER V. · 1998 to 2001
$830k
Novel Methylation Targets in Gastric CancerR21CA098450 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MELTZER, STEPHEN J · 2003 to 2005
$446k
NCI NIH HHS CA01808NCI NIH HHS CA098450NCI NIH HHS CA 71716NCI NIH HHS CA77057NCI NIH HHS CA85069NCI NIH HHS CA95323
6 · The paper itself

Abstract

In order to identify genes or combination of genes that have the power to discriminate between premalignant Barrett's esophagus and Barrett's associated adenocarcinoma, we analysed a panel of 23 genes using quantitative real-time RT-PCR (qRT-PCR, Taqman and bioinformatic tools. The genes chosen were either known to be associated with Barrett's carcinogenesis or were filtered from a previous cDNA microarray study on Barrett's adenocarcinoma. A total of 98 tissues, obtained from 19 patients with Barrett's esophagus (BE group) and 20 patients with Barrett's associated esophageal adenocarcinoma (EA group), were studied. Triplicate analysis for the full 23 gene of interest panel, and analysis of an internal control gene, was performed for all samples, for a total of more than 9016 single PCR reactions. We found distinct classes of gene expression patterns in the different types of tissues. The most informative genes clustered in six different classes and had significantly different expression levels in Barrett's esophagus tissues compared to adenocarcinoma tissues. Linear discriminant analysis (LDA) distinguished four genetically different groups. The normal squamous esophagus tissues from patients with BE or EA were not distinguishable from one another, but Barrett's esophagus tissues could be distinguished from adenocarcinoma tissues. Using the most informative genes, obtained from a logistic regression analysis, we were able to completely distinguish between benign Barrett's and Barrett's adenocarcinomas. This study provides the first non-array parallel mRNA quantitation analysis of a panel of genes in the Barrett's esophagus model of multistage carcinogenesis. Our results suggest that mRNA expression quantitation of a panel of genes can discriminate between premalignant and malignant Barrett's disease. Logistic regression and LDAs can be used to further identify, from the complete panel, gene subsets with the power to make these diagnostic distinctions. Expression analysis of a limited number of highly selected genes may have clinical usefulness for the treatment of patients with this disease.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaBarrett EsophagusEsophageal NeoplasmsHumansLogistic ModelsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA, Messenger

Identifiers

PMID15107828
OpenAlexW2007120802

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.