Evidence map›Paper›PMID 25728460›Full record

Trial reportClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2015

Accuracy of digital mRNA profiling of oesophageal biopsies as a novel diagnostic approach to eosinophilic oesophagitis.

Willem S Lexmond, Lan Hu, Michael Pardo, Nicole Heinz, Katharine Rooney, Jessica LaRosa, Eleonora Dehlink, Edda Fiebiger, Samuel Nurko

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Eosinophilic esophagitis phenotypes: Ready for prime time?Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2017
    Review
  6. Article
  7. 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

9 authors at 2 institutions in 1 country.

Willem S LexmondDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Lan HuCenter for Cancer Computational Biology, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute; Boston, Massachusetts.
Michael PardoDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Nicole HeinzDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Katharine RooneyDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Jessica LaRosaDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Eleonora DehlinkDivision of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Edda Fiebiger *Division of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Samuel Nurko *Division of Gastroenterology and Nutrition, Center for Motility and Functional Gastrointestinal Disorders, and Eosinophilic Gastrointestinal Disease Center Boston Children's Hospital and Harvard Medical School; Boston, Massachusetts.
Boston Children's Hospital · USDana-Farber Cancer Institute · US

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI LYNN BRY · 1986 to 2026
$32.4M
Studies of Fc-epsilon-RI as an antigen presentation structure at mucosal surfacesR01AI075037 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI FIEBIGER, ELISABETH EDDA · 2009 to 2013
$2.0M
Patient Oriented Research in Pediatric Motility and Related DisordersK24DK082792 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI NURKO, SAMUEL · 2009 to 2013
$923k
NIAID NIH HHS R01 AI075037NIAID NIH HHS R01AI075037NIDDK NIH HHS K24 DK082792NIDDK NIH HHS K24DK82792-1NIDDK NIH HHS P30 DK034854
6 · The paper itself

Abstract

backgroundQuantification of tissue eosinophils remains the golden standard in diagnosing eosinophilic oesophagitis (EoE), but this approach suffers from poor specificity. It has been recognized that histopathological changes that occur in patients with EoE are associated with a disease-specific tissue transcriptome.

objectiveWe hypothesized that digital mRNA profiling targeted at a set of EoE-specific and Th2 inflammatory genes in oesophageal biopsies could help differentiate patients with EoE from those with reflux oesophagitis (RE) or normal tissue histology (NH).

methodsThe mRNA expression levels of 79 target genes were defined in both proximal and distal biopsies of 196 patients with nCounter® (Nanostring) technology. According to clinicopathological diagnosis, these patients were grouped in a training set (35 EoE, 30 RE, 30 NH) for building of a three-class prediction model using the random forest method, and a blinded predictive set (n = 47) for model validation.

resultsA diagnostic model built on ten differentially expressed genes was able to differentiate with 100% sensitivity and specificity between conditions in the training set. In a blinded predictive set, this model was able to correctly predict EoE in 14 of 18 patients in distal (sensitivity 78%, 95% CI 52-93%) and 16 of 18 patients in proximal biopsies (sensitivity 89%, 95% CI 64-98%), without false-positive diagnosis of EoE in RE or NH patients (specificity 100%, 95% CI 85-100%). Sensitivity was increased to 94% (95% CI 71-100%) when either the best predictive distal or proximal biopsy was used. CONCLUSION AND CLINICAL RELEVANCE: We conclude that mRNA profiling of oesophageal tissue is an accurate diagnostic strategy in detecting EoE.

Indexed as

Gene Expression ProfilingAdolescentChildChild, PreschoolEosinophilic EsophagitisEsophagusFemaleHumansInfantMaleRNA, MessengerSensitivity and SpecificityRNA, Messengerchildrendiagnosiseosinophilic esophagitismRNA

Identifiers

PMID25728460
PMCPMC4773201
OpenAlexW2043502504

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.