Evidence map›Paper›PMID 21385931›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2011

Global gene expression profiling and validation in esophageal squamous cell carcinoma and its association with clinical phenotypes.

Hua Su, Nan Hu, Howard H Yang, Chaoyu Wang, Mikiko Takikita, Quan-Hong Wang, Carol Giffen, Robert Clifford, Stephen M Hewitt, Jian-Zhong Shou and 3 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 3 pooled it
10.3field-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

145 citing papers in PubMed, 3 syntheses or guidelines pooled it, 242 citations in OpenAlex.

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  11. RTN4IP1 Contributes to ESCC via Regulation of Amino Acid Transporters.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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85 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 4 countries.

Hua SuGenetic Epidemiology Branch, DCEG, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Nan Hu
Howard H Yang
Chaoyu Wang
Mikiko Takikita
Quan-Hong Wang
Carol Giffen
Robert Clifford
Stephen M Hewitt
Jian-Zhong Shou
Alisa M Goldstein
Maxwell P Lee
Philip R Taylor
Chinese Academy of Medical Sciences & Peking Union Medical College · CNNational Cancer Institute · MYAssociated Management Services (United States) · USInformation Management Services · USNational Cancer Institute · USLaboratory of Molecular Genetics · PL

Funding

Tissue Array Research ProgramZICBC010923 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2009 to 2014
$4.7M
UGI Cancer Genetic StudiesZIACP000150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI TAYLOR, PHILIP · 2009 to 2011
$4.1M
Genetics and Epigenetics of CancerZIABC011253 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, MAXWELL · 2010 to 2012
$2.4M
Allele-specific gene expression and epigenetic informationZIABC010986 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, MAXWELL · 2009 to 2012
$2.2M
UGI Cancer Genetic StudiesZ01CP000150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI TAYLOR, PHILIP · 2005 to 2008
$1.8M
Applied Molecular Pathology LaboratoryZICBC011257 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2010 to 2014
$1.2M
Informatics Solutions to Biomedical ResearchZIABC011250 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, MAXWELL · 2010 to 2012
$236k
Intramural NIH HHS Z01 CP000150Intramural NIH HHS ZIA CP000150NCI NIH HHS N02-SC-66211
6 · The paper itself

Abstract

purposeEsophageal squamous cell carcinoma (ESCC) is an aggressive tumor with poor prognosis. Understanding molecular changes in ESCC will enable identification of molecular subtypes and provide potential targets for early detection and therapy. EXPERIMENTAL

designWe followed up a previous array study with additional discovery and confirmatory studies in new ESCC cases by using alternative methods. We profiled global gene expression for discovery and confirmation, and validated selected dysregulated genes with additional RNA and protein studies.

resultsA total of 159 genes showed differences with extreme statistical significance (P < E-15) and 2-fold differences or more in magnitude (tumor/normal RNA expression ratio, N = 53 cases), including 116 upregulated and 43 downregulated genes. Of 41 genes dysregulated in our prior array study, all but one showed the same fold change directional pattern in new array studies, including 29 with 2-fold changes or more. Alternative RNA expression methods validated array results: more than two thirds of 51 new cases examined by real-time PCR (RT-PCR) showed 2-fold differences or more for all seven genes assessed. Immunohistochemical protein expression results in 275 cases which were concordant with RNA for five of six genes.

conclusionWe identified an expanded panel of genes dysregulated in ESCC and confirmed previously identified differentially expressed genes. Microarray-based gene expression results were confirmed by RT-PCR and protein expression studies. These dysregulated genes will facilitate molecular categorization of tumor subtypes and identification of their risk factors, and serve as potential targets for early detection, outcome prediction, and therapy.

Indexed as

Gene Expression ProfilingCarcinoma, Squamous CellEsophageal NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMaleMicroarray AnalysisMicrodissectionMiddle AgedPhenotypePrognosis

Identifiers

PMID21385931
PMCPMC3086948
OpenAlexW2139362027

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.