Evidence map›Paper›PMID 17415542›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2007

Molecular defense mechanisms of Barrett's metaplasia estimated by an integrative genomics.

Jerzy Ostrowski, Michal Mikula, Jakub Karczmarski, Tymon Rubel, Lucjan S Wyrwicz, Piotr Bragoszewski, Pawel Gaj, Michal Dadlez, Eugeniusz Butruk, Jaroslaw Regula

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Agrin Loss in Barrett's Esophagus-Related Neoplasia and Its Utility as a Diagnostic and Predictive Biomarker.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  5. (Patho-)Physiology of NaFrontiers in physiology · 2019
    Review
  6. Article
  7. Genomics, Endoscopy, and Control of Gastroesophageal Cancers: A Perspective.Cellular and molecular gastroenterology and hepatology · 2017
    Review
  8. Article
  9. Surrogate Markers: Lessons from the Next Gen?Cancer prevention research (Philadelphia, Pa.) · 2016
    Article
  10. Article
  11. Article
  12. The Barrett's Gland in Phenotype Space.Cellular and molecular gastroenterology and hepatology · 2015
    Review
  13. Article
  14. Article
  15. Comparative kinome analysis to identify putative colon tumor biomarkers.Journal of molecular medicine (Berlin, Germany) · 2012
    Article
  16. New strategies in Barrett's esophagus: integrating clonal evolutionary theory with clinical management.Clinical cancer research : an official journal of the American Association for Cancer Research · 2011
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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 3 institutions in 1 country.

Jerzy OstrowskiDepartment of Gastroenterology, Medical Center for Postgraduate Education, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, ul. Roentgena 5, 02-781, Warsaw, Poland. jostrow@warman.com.pl
Michal Mikula
Jakub Karczmarski
Tymon Rubel
Lucjan S Wyrwicz
Piotr Bragoszewski
Pawel Gaj
Michal Dadlez
Eugeniusz Butruk
Jaroslaw Regula
The Maria Sklodowska-Curie National Research Institute of Oncology · PLInstitute of Biochemistry and Biophysics, Polish Academy of Sciences · PLWarsaw University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barrett's esophagus is characterized by the replacement of squamous epithelium with specialized intestinal metaplastic mucosa. The exact mechanisms of initiation and development of Barrett's metaplasia remain unknown, but a hypothesis of "successful adaptation" against noxious reflux components has been proposed. To search for the repertoire of adaptation mechanisms of Barrett's metaplasia, we employed high-throughput functional genomic and proteomic methods that defined the molecular background of metaplastic mucosa resistance to reflux. Transcriptional profiling was established for 23 pairs of esophageal squamous epithelium and Barrett's metaplasia tissue samples using Affymetrix U133A 2.0 GeneChips and validated by quantitative real-time polymerase chain reaction. Differences in protein composition were assessed by electrophoretic and mass-spectrometry-based methods. Among 2,822 genes differentially expressed between Barrett's metaplasia and squamous epithelium, we observed significantly overexpressed metaplastic mucosa genes that encode cytokines and growth factors, constituents of extracellular matrix, basement membrane and tight junctions, and proteins involved in prostaglandin and phosphoinositol metabolism, nitric oxide production, and bioenergetics. Their expression likely reflects defense and repair responses of metaplastic mucosa, whereas overexpression of genes encoding heat shock proteins and several protein kinases in squamous epithelium may reflect lower resistance of normal esophageal epithelium than Barrett's metaplasia to reflux components. Despite the methodological and interpretative difficulties in data analyses discussed in this paper, our studies confirm that Barrett's metaplasia may be regarded as a specific microevolution allowing for accumulation of mucosal morphological and physiological changes that better protect against reflux injury.

Indexed as

Adaptation, PhysiologicalBarrett EsophagusCarcinoma, Squamous CellEsophagusFemaleGastroesophageal RefluxGene Expression ProfilingGenomicsHumansMaleMetaplasiaMucous MembranePrecancerous ConditionsProteomicsTranscription, Genetic

Identifiers

PMID17415542
OpenAlexW2157293547

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.