Evidence map›Paper›PMID 25898412›Full record

ReviewInternational journal of molecular sciences2015

Non-coding RNAs in saliva: emerging biomarkers for molecular diagnostics.

Blanca Majem, Marina Rigau, Jaume Reventós, David T Wong

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07636408 (Enhancing Sleep to Improve Brain-heart Functions in People With Persistent Post-concussion Symptoms), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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.

NCT07636408 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Enhancing Sleep to Improve Brain-heart Functions in People With Persistent Post-concussion Symptoms

TypeinterventionalSponsorUniversity of OttawaRan2026 to 2027Enrolled70ConditionsInsomnia, Concussion Post SyndromeArmsCBT-pI, Sleep Hygiene
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Salivary Proteome Role in Infection and Immunity.Advances in experimental medicine and biology · 2026
    Review
  7. Review
  8. 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
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Saliva and Oral Diseases.Journal of clinical medicine · 2020
    Review
  19. Article
  20. Article
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

4 authors at 3 institutions in 2 countries.

Blanca MajemResearch Unit in Biomedicine and Translational Oncology, Lab 209, Collserola Building, Vall Hebron Research Institute (VHIR) and University Hospital, Pg. Vall Hebron 119-129, 08035 Barcelona, Spain. blanca.majem@vhir.org.
Marina RigauResearch Unit in Biomedicine and Translational Oncology, Lab 209, Collserola Building, Vall Hebron Research Institute (VHIR) and University Hospital, Pg. Vall Hebron 119-129, 08035 Barcelona, Spain. marina.rigau@vhir.org.
Jaume ReventósResearch Unit in Biomedicine and Translational Oncology, Lab 209, Collserola Building, Vall Hebron Research Institute (VHIR) and University Hospital, Pg. Vall Hebron 119-129, 08035 Barcelona, Spain. jaume.reventos@vhir.org.
David T WongCenter for Oral/Head & Neck Oncology Research, University of California, Los Angeles, CA 90095, USA. dtww@ucla.edu.
Vall d'Hebron Institut de Recerca · ESUniversitat Internacional de Catalunya · ESUniversity of California, Los Angeles · US

Funding

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
Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer DetectionUH2TR000923 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2013 to 2014
$996k
NCATS NIH HHS 1UH2 TR000923-01NCATS NIH HHS UH2 TR000923NCATS NIH HHS UH3 TR000923
6 · The paper itself

Abstract

Saliva is a complex body fluid that comprises secretions from the major and minor salivary glands, which are extensively supplied by blood. Therefore, molecules such as proteins, DNA, RNA, etc., present in plasma could be also present in saliva. Many studies have reported that saliva body fluid can be useful for discriminating several oral diseases, but also systemic diseases including cancer. Most of these studies revealed messenger RNA (mRNA) and proteomic biomarker signatures rather than specific non-coding RNA (ncRNA) profiles. NcRNAs are emerging as new regulators of diverse biological functions, playing an important role in oncogenesis and tumor progression. Indeed, the small size of these molecules makes them very stable in different body fluids and not as susceptible as mRNAs to degradation by ribonucleases (RNases). Therefore, the development of a non-invasive salivary test, based on ncRNAs profiles, could have a significant applicability to clinical practice, not only by reducing the cost of the health system, but also by benefitting the patient. Here, we summarize the current status and clinical implications of the ncRNAs present in human saliva as a source of biological information.

Indexed as

AnimalsBiomarkersHumansMolecular Diagnostic TechniquesRNA, UntranslatedSalivaSequence Analysis, RNABiomarkersRNA, Untranslated

Identifiers

PMID25898412
PMCPMC4425103
OpenAlexW2100321567

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.