Evidence map›Paper›PMID 20947516›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010

Inflammatory and microRNA gene expression as prognostic classifier of Barrett's-associated esophageal adenocarcinoma.

Giang Huong Nguyen, Aaron J Schetter, David B Chou, Elise D Bowman, Ronghua Zhao, Jason E Hawkes, Ewy A Mathé, Kensuke Kumamoto, Yiqiang Zhao, Anuradha Budhu and 5 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
7.7field-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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  13. The significance of chemokine CXCL-8 in esophageal carcinoma.Archives of medical science : AMS · 2020
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  20. Circulating miRNA profile in esophageal adenocarcinoma.American journal of cancer research · 2016
    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

15 authors at 7 institutions in 3 countries.

Giang Huong NguyenLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Aaron J Schetter
David B Chou
Elise D Bowman
Ronghua Zhao
Jason E Hawkes
Ewy A Mathé
Kensuke Kumamoto
Yiqiang Zhao
Anuradha Budhu
Nobutoshi Hagiwara
Xin Wei Wang
Masao Miyashita
Alan G Casson
Curtis C Harris
National Institute of Allergy and Infectious Diseases · USPeking University · CNNational Cancer Institute · USNational Institutes of Health · USNippon Medical School · JPHoward Hughes Medical Institute · USOffice of the Director · US

Funding

Strategies for improving early detection, diagnosis and treatment of liver cancerZIABC010313 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$18.1M
Biomarkers of Human Esophageal CancerZIABC011179 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2009 to 2011
$2.1M
Howard Hughes Medical InstituteIntramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

purposeEsophageal cancer is one of the most aggressive and deadly forms of cancer; highlighting the need to identify biomarkers for early detection and prognostic classification. Our recent studies have identified inflammatory gene and microRNA signatures derived from tumor and nontumor tissues as prognostic biomarkers of hepatocellular, lung, and colorectal adenocarcinoma. Here, we examine the relationship between expression of these inflammatory genes and micro RNA (miRNA) expression in esophageal adenocarcinoma and patient survival. EXPERIMENTAL

designWe measured the expression of 23 inflammation-associated genes in tumors and adjacent normal tissues from 93 patients (58 Barrett's and 35 Sporadic adenocarcinomas) by quantitative reverse transcription-polymerase chain reaction. These data were used to build an inflammatory risk model, based on multivariate Cox regression, to predict survival in a training cohort (n = 47). We then determined whether this model could predict survival in a cohort of 46 patients. Expression data for miRNA-375 were available for these patients and was combined with inflammatory gene expression.

resultsIFN-γ, IL-1α, IL-8, IL-21, IL-23, and proteoglycan expression in tumor and nontumor samples were each associated with poor prognosis based on Cox regression [(Z-score)>1.5] and therefore were used to generate an inflammatory risk score (IRS). Patients with a high IRS had poor prognosis compared with those with a low IRS in the training (P = 0.002) and test (P = 0.012) cohorts. This association was stronger in the group with Barrett's history. When combining with miRNA-375, the combined IRS/miR signature was an improved prognostic classifier than either one alone.

conclusionTranscriptional profiling of inflammation-associated genes and miRNA expression in resected esophageal Barrett's-associated adenocarcinoma tissues may have clinical utility as predictors of prognosis.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overAlgorithmsBarrett EsophagusEsophageal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInflammationMaleMicroRNAsMiddle AgedPrognosisMicroRNAs

Identifiers

PMID20947516
PMCPMC2999658
OpenAlexW2127343843

What OpenQuestion holds

Textmetadata
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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.