Evidence map›Paper›PMID 24402860›Full record

ArticleJournal of gastrointestinal cancer2014

Assessment of mutational load in biopsy tissue provides additional information about genomic instability to histological classifications of Barrett's esophagus.

Harshit S Khara, Sara A Jackson, Saraswathi Nair, Georgios Deftereos, Shweta Patel, Jan F Silverman, Eric Ellsworth, Cameron Sumner, Brendan Corcoran, Dennis M Smith and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastrointestinal cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Utility of ancillary studies in the diagnosis and risk assessment of Barrett's esophagus and dysplasia.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Review
  3. Article
  4. Review
  5. Article
  6. Validation of a biomarker panel in Barrett's esophagus to predict progression to esophageal adenocarcinoma.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2018
    Article
  7. Overview of esophageal cancer.Annals of cardiothoracic surgery · 2017
    Article
  8. Article
  9. 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 4 institutions in 1 country.

Harshit S KharaNorwalk Hospital, Norwalk, CT, USA.
Sara A Jackson
Saraswathi Nair
Georgios Deftereos
Shweta Patel
Jan F Silverman
Eric Ellsworth
Cameron Sumner
Brendan Corcoran
Dennis M Smith
Sydney Finkelstein
Seth A Gross
Allegheny General Hospital · USNorwalk Hospital · USAllegheny Health Network · USNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProgression of Barrett's esophagus (BE) to esophageal adenocarcinoma (EAC) is associated with accumulated genomic instability. Current risk stratification of BE for EAC relies on histological classification and grade of dysplasia. However, histology alone cannot assess the risk of patients with inconsistent or non-dysplastic BE histology. We, therefore, examined the presence and extent of genomic instability in advanced and less advanced BE histology using mutational load (ML).

methodsML summarized the presence and clonality of loss of heterozygosity (LOH) mutations and the emergence of new alleles, manifested as microsatellite instability (MSI) mutations, in ten genomic loci around tumor suppressor genes associated with EAC. The ML of 877 microdissected targets from BE biopsies was correlated to their histology. Histological targets were categorized into three levels: no ML, low ML, and high ML.

resultsIncreasing ML correlated with increasingly severe histology. By contrast, proportions of targets that lacked mutations decreased with increasingly severe histology. A portion of targets with non-dysplastic and low-grade histology shared a similar ML as those with higher risk and EAC disease. The addition of MSI characterization to ML helped to differentiate the ML between advanced and less advanced histology.

conclusionsGiven that EAC is associated with accumulated genomic instability, high ML in less severe histology may identify BE disease at greater risk of progression to EAC. ML may help to better manage BE in early histological stages and when histology alone provides insufficient information.

Indexed as

Genomic InstabilityAdenocarcinomaBarrett EsophagusBiopsyCohort StudiesDisease ProgressionEsophageal NeoplasmsFollow-Up StudiesHumansLoss of HeterozygosityMutationNeoplasm GradingPrognosisTumor Suppressor ProteinsTumor Suppressor Proteins

Identifiers

PMID24402860
PMCPMC4024388
OpenAlexW1976242831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.