Evidence map›Paper›PMID 21217834›Full record

ArticlePloS one2010

Discovery and preclinical validation of salivary transcriptomic and proteomic biomarkers for the non-invasive detection of breast cancer.

Lei Zhang, Hua Xiao, Scott Karlan, Hui Zhou, Jenny Gross, David Elashoff, David Akin, Xinmin Yan, David Chia, Beth Karlan and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 3 pooled it
9.1field-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

122 citing papers in PubMed, 3 syntheses or guidelines pooled it, 269 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Noninvasive saliva-based EGFR gene mutation detection in patients with lung cancer.American journal of respiratory and critical care medicine · 2014
    Trial
  6. Trial
  7. Review
  8. Review
  9. From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

62 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

11 authors at 4 institutions in 1 country.

Lei ZhangSchool of Dentistry and Dental Research Institute, University of California Los Angeles, Los Angeles, California, United States of America. leizhang@ucla.edu
Hua Xiao
Scott Karlan
Hui Zhou
Jenny Gross
David Elashoff
David Akin
Xinmin Yan
David Chia
Beth Karlan
David T Wong
University of California, Los Angeles · USCedars-Sinai Medical Center · USCancer Research Institute · USSamueli Institute · US

Funding

Human Salivary ProteomeU01DE016275 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2004 to 2007
$5.5M
Salivary Biomarkers for Early Oral Cancer DetectionR01DE017170 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2008 to 2011
$1.5M
Collection, Stabilization and Storage of Saliva Samples for Cancer ResearchR21CA126733 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2008 to 2009
$381k
NCI NIH HHS R21 CA126733NCI NIH HHS R21CA126733)NIDCR NIH HHS R01 DE017170NIDCR NIH HHS U01 DE016275NIDCR NIH HHS U01DE016275
6 · The paper itself

Abstract

backgroundA sensitive assay to identify biomarkers using non-invasively collected clinical specimens is ideal for breast cancer detection. While there are other studies showing disease biomarkers in saliva for breast cancer, our study tests the hypothesis that there are breast cancer discriminatory biomarkers in saliva using de novo discovery and validation approaches. This is the first study of this kind and no other study has engaged a de novo biomarker discovery approach in saliva for breast cancer detection. In this study, a case-control discovery and independent preclinical validations were conducted to evaluate the performance and translational utilities of salivary transcriptomic and proteomic biomarkers for breast cancer detection. METHODOLOGY/PRINCIPAL

findingsSalivary transcriptomes and proteomes of 10 breast cancer patients and 10 matched controls were profiled using Affymetrix HG-U133-Plus-2.0 Array and two-dimensional difference gel electrophoresis (2D-DIGE), respectively. Preclinical validations were performed to evaluate the discovered biomarkers in an independent sample cohort of 30 breast cancer patients and 63 controls using RT-qPCR (transcriptomic biomarkers) and quantitative protein immunoblot (proteomic biomarkers). Transcriptomic and proteomic profiling revealed significant variations in salivary molecular biomarkers between breast cancer patients and matched controls. Eight mRNA biomarkers and one protein biomarker, which were not affected by the confounding factors, were pre-validated, yielding an accuracy of 92% (83% sensitive, 97% specific) on the preclinical validation sample set.

conclusionsOur findings support that transcriptomic and proteomic signatures in saliva can serve as biomarkers for the non-invasive detection of breast cancer. The salivary biomarkers possess discriminatory power for the detection of breast cancer, with high specificity and sensitivity, which paves the way for prediction model validation study followed by pivotal clinical validation.

Indexed as

Transcription, GeneticBiomarkersBiomarkers, TumorBreast NeoplasmsCase-Control StudiesDNA PrimersFemaleHumansImmunoblottingProteomeProteomicsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSalivaSensitivity and SpecificityBiomarkersBiomarkers, TumorDNA PrimersProteomeRNA, Messenger

Identifiers

PMID21217834
PMCPMC3013113
OpenAlexW2102208341

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.