Evidence map›Paper›PMID 18829504›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2008

Salivary proteomics for oral cancer biomarker discovery.

Shen Hu, Martha Arellano, Pinmanee Boontheung, Jianghua Wang, Hui Zhou, Jiang Jiang, David Elashoff, Roger Wei, Joseph A Loo, David T Wong

Open access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 7 pooled it
17.5field-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

202 citing papers in PubMed, 7 syntheses or guidelines pooled it, 544 citations in OpenAlex.

  1. Pooled it
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  14. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
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  17. Leveraging Saliva for Insights into Head and Neck Cancer.International journal of molecular sciences · 2024
    Review
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  19. Article
  20. Article

142 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

10 authors at 3 institutions in 2 countries.

Shen HuOral Biology and Medicine Division and Dental Research Institute, School of Dentistry, University of California at Los Angeles, 10833 Le Conte Avenue, Los Angeles, CA 90095, USA.
Martha Arellano
Pinmanee Boontheung
Jianghua Wang
Hui Zhou
Jiang Jiang
David Elashoff
Roger Wei
Joseph A Loo
David T Wong
University of Dental Medicine · MMUCLA Jonsson Comprehensive Cancer CenterUniversity of California, Los Angeles · US

Funding

Genomics and Proteomics of Oral Precancer ProgressionR01DE015970 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2004 to 2009
$1.9M
Salivary Biomarkers for Early Oral Cancer DetectionR01DE017170 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2008 to 2011
$1.5M
Serum Proteome Analysis of Oral Cancer MetastasisR21CA122806 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HU, SHEN · 2007 to 2009
$359k
Quantitative Salivary Proteomics for Human Oral CancerR03DE017144 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HU, SHEN · 2007 to 2009
$173k
NCI NIH HHS R21 CA 122806NCI NIH HHS R21 CA122806NIDCR NIH HHS R01 DE015970NIDCR NIH HHS R01 DE017170NIDCR NIH HHS R01 DE 15970NIDCR NIH HHS R01 DE 17170NIDCR NIH HHS R03 DE 017144NIDCR NIH HHS R03 DE017144
6 · The paper itself

Abstract

purposeThis study aims to explore the presence of informative protein biomarkers in the human saliva proteome and to evaluate their potential for detection of oral squamous cell carcinoma (OSCC). EXPERIMENTAL

designWhole saliva samples were collected from patients (n = 64) with OSCC and matched healthy subjects (n = 64). The proteins in pooled whole saliva samples of patients with OSCC (n = 16) and matched healthy subjects (n = 16) were profiled using shotgun proteomics based on C4 reversed-phase liquid chromatography for prefractionation, capillary reversed-phase liquid chromatography with quadruple time-of-flight mass spectrometry, and Mascot sequence database searching. Immunoassays were used for validation of the candidate biomarkers on a new group of OSCC (n = 48) and matched healthy subjects (n = 48). Receiver operating characteristic analysis was exploited to evaluate the diagnostic value of discovered candidate biomarkers for OSCC.

resultsSubtractive proteomics revealed several salivary proteins at differential levels between the OSCC patients and matched control subjects. Five candidate biomarkers were successfully validated using immunoassays on an independent set of OSCC patients and matched healthy subjects. The combination of these candidate biomarkers yielded a receiver operating characteristic value of 93%, sensitivity of 90%, and specificity of 83% in detecting OSCC.

conclusionPatient-based saliva proteomics is a promising approach to searching for OSCC biomarkers. The discovery of these new targets may lead to a simple clinical tool for the noninvasive diagnosis of oral cancer. Long-term longitudinal studies with large populations of individuals with oral cancer and those who are at high risk of developing oral cancer are needed to validate these potential biomarkers.

Indexed as

AdultBiomarkersBiomarkers, TumorCarcinoma, Squamous CellElectrophoresis, Gel, Two-DimensionalFemaleHumansImmunoassayMaleMiddle AgedMouth NeoplasmsPolymersProteomicsSalivaSensitivity and SpecificityBiomarkersBiomarkers, TumorPolymers

Identifiers

PMID18829504
PMCPMC2877125
OpenAlexW2123768348

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.