Evidence map›Paper›PMID 21128279›Full record

ArticleInternational journal of cancer2011

MicroRNA expression profiling in human Barrett's carcinogenesis.

Matteo Fassan, Stefano Volinia, Jeff Palatini, Marco Pizzi, Raffaele Baffa, Marina De Bernard, Giorgio Battaglia, Paola Parente, Carlo M Croce, Giovanni Zaninotto and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 pooled it
13.9field-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

58 citing papers in PubMed, 5 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Analysis of circulating microRNA biomarkers for breast cancer detection: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  5. Blood-based multiple-microRNA assay displays a better diagnostic performance than single-microRNA assay in the diagnosis of breast tumor.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Barrett's Esophagus and Esophageal Adenocarcinoma Biomarkers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  15. Review
  16. Article
  17. Ran GTPase: A Key Player in Tumor Progression and Metastasis.Frontiers in cell and developmental biology · 2020
    Review
  18. ENPP4 overexpression is associated with no recovery from Barrett's esophagus.International journal of clinical and experimental pathology · 2020
    Article
  19. Article
  20. 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

12 authors at 5 institutions in 2 countries.

Matteo FassanDepartment of Medical Diagnostic Sciences and Special Therapies, Surgical Pathology and Cytopathology Unit, University of Padova, Padova (PD), Italy.
Stefano Volinia
Jeff Palatini
Marco Pizzi
Raffaele Baffa
Marina De Bernard
Giorgio Battaglia
Paola Parente
Carlo M Croce
Giovanni Zaninotto
Ermanno Ancona
Massimo Rugge
University of Padua · ITThe Ohio State University · USIstituti di Ricovero e Cura a Carattere Scientifico · ITThomas Jefferson University · USVeneto Institute of Molecular Medicine · IT

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI WANCAI YANG · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

Barrett's esophagus (BE) is characterized by the native stratified squamous epithelium (N) lining the esophagus being replaced by a columnar epithelium with intestinal differentiation (Barrett's mucosa; BM). BM is considered as the main risk factor for esophageal adenocarcinoma (Barrett's adenocarcinoma; BAc). MicroRNAs (miRNAs) are a class of small noncoding RNAs that control gene expression by targeting messenger RNAs and they are reportedly dysregulated in BM. To test the hypothesis that a specific miRNA expression signature characterizes BM development and progression, we performed miRNA microarray analysis comparing native esophageal mucosa with all the phenotypic lesions seen in the Barrett's carcinogenic process. Specimens were collected from 14 BE patients who had undergone esophagectomy, including: 14 with N, 14 with BM, 7 with low-grade intraepithelial neoplasia, 5 with high-grade intra-epithelial neoplasia and 11 with BAc. Microarray findings were further validated by quantitive real-time polymerase chain reaction and in situ hybridization analyses using a different series of consecutive cases (162 biopsy samples and 5 esophagectomies) of histologically proven, long-segment BE. We identified a miRNA signature of Barrett's carcinogenesis consisting of an increased expression of 6 miRNAs and a reduced expression of 7 miRNAs. To further support these results, we investigated target gene expression using the Oncomine database and/or immunohistochemical analysis. We found that target gene expression correlated significantly with miRNA dysregulation. Specific miRNAs are directly involved in BE progression to cancer. miRNA profiling significantly expands current knowledge on the molecular history of Barrett's carcinogenesis, also identifying molecular markers of cancer progression.

Indexed as

MicroRNAsBarrett EsophagusDisease ProgressionGene ExpressionGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisValidation Studies as TopicMicroRNAs

Identifiers

PMID21128279
PMCPMC4303574
OpenAlexW2041480814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.