Evidence map›Paper›PMID 27862926›Full record

ReviewJournal of cellular and molecular medicine2017

Emerging technologies for salivaomics in cancer detection.

Karolina Elżbieta Kaczor-Urbanowicz, Carmen Martín Carreras-Presas, Tadeusz Kaczor, Michael Tu, Fang Wei, Franklin Garcia-Godoy, David T W Wong

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Salivary biomarkers in breast cancer: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  13. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  14. Article
  15. Printed Organic Transistor-based Biosensors for Non-invasive Sweat Analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Article
  16. Saliva and Oral Diseases.Journal of clinical medicine · 2020
    Review
  17. Saliva proteomics updates in biomedicine.Journal of biological research (Thessalonike, Greece) · 2019
    Review
  18. Review
  19. Review
  20. Review
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

7 authors.

Karolina Elżbieta Kaczor-UrbanowiczCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA, USA.
Carmen Martín Carreras-PresasFaculty of Biomedical Sciences, Adult's Dentistry Department, Universidad Europea de Madrid, Madrid, Spain.
Tadeusz KaczorFaculty of Mechanical Engineering, Department of Physics, Kazimierz Pulaski University of Technology and Humanities in Radom, Radom, Poland.
Michael TuCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA, USA.
Fang WeiCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA, USA.
Franklin Garcia-GodoyBioscience Research Center, College of Dentistry, University of Tennessee Health Science Center, Memphis, TN, USA.
David T W WongCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA, USA.

Funding

Salivary Biomarkers for Sjogren's Syndrome Detection-Definitive ValidationU01DE017593 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2011 to 2014
$4.3M
Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer DetectionUH3TR000923 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2015 to 2017
$2.7M
UCLA Dentist-Scientist and Oral Health-Researcher Training ProgramT90DE022734 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2012 to 2017
$2.3M
UCLA Dentist-Scientist and Oral Health-Researcher Training ProgramR90DE023057 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2012 to 2016
$416k
NCATS NIH HHS UH3 TR000923NIDCR NIH HHS R90 DE023057NIDCR NIH HHS T90 DE022734NIDCR NIH HHS U01 DE017593
6 · The paper itself

Abstract

Salivary diagnostics has great potential to be used in the early detection and prevention of many cancerous diseases. If implemented with rigour and efficiency, it can result in improving patient survival times and achieving earlier diagnosis of disease. Recently, extraordinary efforts have been taken to develop non-invasive technologies that can be applied without complicated and expensive procedures. Saliva is a biofluid that has demonstrated excellent properties and can be used as a diagnostic fluid, since many of the biomarkers suggested for cancers can also be found in whole saliva, apart from blood or other body fluids. The currently accepted gold standard methods for biomarker development include chromatography, mass spectometry, gel electrophoresis, microarrays and polymerase chain reaction-based quantification. However, salivary diagnostics is a flourishing field with the rapid development of novel technologies associated with point-of-care diagnostics, RNA sequencing, electrochemical detection and liquid biopsy. Those technologies will help introduce population-based screening programs, thus enabling early detection, prognosis assessment and disease monitoring. The purpose of this review is to give a comprehensive update on the emerging diagnostic technologies and tools for the early detection of cancerous diseases based on saliva.

Indexed as

Electromagnetic FieldsGenomicsHumansMetabolomicsNeoplasmsProteomicsSalivacancerliquid biopsypoint-of-careRNA-Sequencingsalivary diagnostics

Identifiers

PMID27862926
PMCPMC5345659

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.