Evidence map›Paper›PMID 18669583›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2008

Gene expression profiling identifies genes predictive of oral squamous cell carcinoma.

Chu Chen, Eduardo Méndez, John Houck, Wenhong Fan, Pawadee Lohavanichbutr, Dave Doody, Bevan Yueh, Neal D Futran, Melissa Upton, D Gregory Farwell and 2 more

Open access · bronzeAbstract readComparative StudyValidation Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 5% 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

154 citing papers in PubMed, 3 syntheses or guidelines pooled it, 271 citations in OpenAlex.

  1. Pooled it
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  4. Met Receptor Tyrosine Kinase and Chemoprevention of Oral Cancer.Journal of the National Cancer Institute · 2018
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  7. The prognostic value and molecular mechanisms ofTranslational cancer research · 2026
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94 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

12 authors at 5 institutions in 2 countries.

Chu ChenProgram in Epidemiology, Fred Hutchinson Cancer Research Center, DEpartment of Epidemiology, 1100 Fairview Avenue North, M5-C800 P.O. Box 19024, Seattle, WA 98109-1024, USA. cchen@fhcrc.org
Eduardo Méndez
John Houck
Wenhong Fan
Pawadee Lohavanichbutr
Dave Doody
Bevan Yueh
Neal D Futran
Melissa Upton
D Gregory Farwell
Stephen M Schwartz
Lue Ping Zhao
Palmetto Hematology Oncology · USVA Puget Sound Health Care System · USFred Hutch Cancer Center · USUniversity of California, Davis · USUniversity of Washington · US

Funding

Research Training in OtolaryngologyT32DC000018 · NIDCD · UNIVERSITY OF WASHINGTON · PI STONE, JENNIFER S. · 1989 to 2023
$7.8M
UW Multidisciplinary Clinical Research Training (RMI)K12RR023265 · NCRR · UNIVERSITY OF WASHINGTON · PI PROBSTFIELD, JEFFREY LYNN · 2005 to 2007
$6.1M
ORAL CANCER: MOLECULAR PROFILES &CLINICAL OUTCOMESR01CA095419 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, CHU · 2003 to 2010
$6.1M
NCI NIH HHS R01 CA095419NCI NIH HHS R01CA095419NCRR NIH HHS K12 RR023265NCRR NIH HHS K12RR023265NIDCD NIH HHS T32 DC000018NIDCD NIH HHS T32DC00018
6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is associated with substantial mortality and morbidity. To identify potential biomarkers for the early detection of invasive OSCC, we compared the gene expressions of incident primary OSCC, oral dysplasia, and clinically normal oral tissue from surgical patients without head and neck cancer or preneoplastic oral lesions (controls), using Affymetrix U133 2.0 Plus arrays. We identified 131 differentially expressed probe sets using a training set of 119 OSCC patients and 35 controls. Forward and stepwise logistic regression analyses identified 10 successive combinations of genes which expression differentiated OSCC from controls. The best model included LAMC2, encoding laminin-gamma2 chain, and COL4A1, encoding collagen, type IV alpha1 chain. Subsequent modeling without these two markers showed that COL1A1, encoding collagen, type I alpha1 chain, and PADI1, encoding peptidyl arginine deiminase, type 1, could also distinguish OSCC from controls. We validated these two models using an internal independent testing set of 48 invasive OSCC and 10 controls and an external testing set of 42 head and neck squamous cell carcinoma cases and 14 controls (GEO GSE6791), with sensitivity and specificity above 95%. These two models were also able to distinguish dysplasia (n = 17) from control (n = 35) tissue. Differential expression of these four genes was confirmed by quantitative reverse transcription-PCR. If confirmed in larger studies, the proposed models may hold promise for monitoring local recurrence at surgical margins and the development of second primary oral cancer in patients with OSCC.

Indexed as

Gene Expression ProfilingBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesCollagen Type ICollagen Type I, alpha 1 ChainCollagen Type IVFemaleGene Expression Regulation, NeoplasticHumansHydrolasesLamininLogistic ModelsMaleMicroarray AnalysisModels, GeneticBiomarkers, TumorCollagen Type ICollagen Type I, alpha 1 ChainCollagen Type IVHydrolasesLAMC2 protein, humanLamininProtein-Arginine Deiminase Type 1

Identifiers

PMID18669583
PMCPMC2575803
OpenAlexW1963828558

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.