Evidence map›Paper›PMID 19228736›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2009

A genetic expression profile associated with oral cancer identifies a group of patients at high risk of poor survival.

Eduardo Méndez, John R Houck, David R Doody, Wenhong Fan, Pawadee Lohavanichbutr, Tessa C Rue, Bevan Yueh, Neal D Futran, Melissa P Upton, D Gregory Farwell and 4 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

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  12. Integrated Analysis RevealsFrontiers in oncology · 2020
    Article
  13. Tumor SuppressorFrontiers in oncology · 2020
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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

14 authors at 7 institutions in 1 country.

Eduardo MéndezDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA 98109-1024, USA.
John R Houck
David R Doody
Wenhong Fan
Pawadee Lohavanichbutr
Tessa C Rue
Bevan Yueh
Neal D Futran
Melissa P Upton
D Gregory Farwell
Patrick J Heagerty
Lue Ping Zhao
Stephen M Schwartz
Chu Chen
Fred Hutch Cancer Center · USPalmetto Hematology Oncology · USUniversity of Washington · USBiostatistical Consulting (United States) · USCancer Research And Biostatistics · USUniversity of California, Davis · USUniversity of Minnesota · US

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
ORAL CANCER: MOLECULAR PROFILES &CLINICAL OUTCOMESR01CA095419 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, CHU · 2003 to 2010
$6.1M
NCATS NIH HHS UL1 TR000423NCI NIH HHS R01 CA095419NCI NIH HHS R01CA095419NCRR NIH HHS 1KL2RR025015NCRR NIH HHS KL2 RR025015
6 · The paper itself

Abstract

purposeTo determine if gene expression signature of invasive oral squamous cell carcinoma (OSCC) can subclassify OSCC based on survival. EXPERIMENTAL

designWe analyzed the expression of 131 genes in 119 OSCC, 35 normal, and 17 dysplastic mucosa to identify cluster-defined subgroups. Multivariate Cox regression was used to estimate the association between gene expression and survival. By stepwise Cox regression, the top predictive models of OSCC-specific survival were determined and compared by receiver operating characteristic analysis.

resultsThe 3-year overall mean+/-SE survival for a cluster of 45 OSCC patients was 38.7+/-0.09% compared with 69.1+/-0.08% for the remaining patients. Multivariate analysis adjusted for age, sex, and stage showed that the 45 OSCC patient cluster had worse overall and OSCC-specific survival (hazard ratio, 3.31; 95% confidence interval, 1.66-6.58 and hazard ratio, 5.43; 95% confidence interval, 2.32-12.73, respectively). Stepwise Cox regression on the 131 probe sets revealed that a model with a term for LAMC2 (laminin gamma2) gene expression best identified patients with worst OSCC-specific survival. We fit a Cox model with a term for a principal component analysis-derived risk score marker and two other models that combined stage with either LAMC2 or PCA. The area under the curve for models combining stage with either LAMC2 or PCA was 0.80 or 0.82, respectively, compared with 0.70 for stage alone (P=0.013 and 0.008, respectively).

conclusionsGene expression and stage combined predict survival of OSCC patients better than stage alone.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansMaleMiddle AgedMouth NeoplasmsNeoplasm StagingPrincipal Component AnalysisProportional Hazards ModelsReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID19228736
PMCPMC2683360
OpenAlexW2131009866

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.