Evidence map›Paper›PMID 37278132›Full record

ArticleCancer medicine2023

Salivary micro RNAs as biomarkers for oropharyngeal cancer.

Chameera Ekanayake Weeramange, Kai Dun Tang, Roberto A Barrero, Gunter Hartel, Zhen Liu, Rahul Ladwa, Julian Langton-Lockton, Ian Frazer, Lizbeth Kenny, Sarju Vasani and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Sample-to-answer salivary miRNA testing: New frontiers in point-of-care diagnostic technologies.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

11 authors at 5 institutions in 4 countries.

Chameera Ekanayake WeeramangeSaliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery (GRIDD) and Menzies Health Institute Queensland (MIHQ), Griffith University, Nathan, Queensland, Australia.
Kai Dun TangSchool of Biomedical Science, Centre for Biomedical Technologies, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.
Roberto A BarreroeResearch, Academic Division, Queensland University of Technology, Brisbane, Queensland, Australia.
Gunter HartelStatistics Unit, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Zhen LiuDepartment of Otolaryngology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Rahul LadwaFaculty of Medicine, The University of Queensland, Herston, Queensland, Australia.
Julian Langton-LocktonMetro-North Sexual Health and HIV Service, Brisbane, Queensland, Australia.
Ian FrazerFaculty of Medicine, The University of Queensland, Herston, Queensland, Australia.
Lizbeth KennyFaculty of Medicine, The University of Queensland, Herston, Queensland, Australia.
Sarju VasaniSaliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery (GRIDD) and Menzies Health Institute Queensland (MIHQ), Griffith University, Nathan, Queensland, Australia.
Chamindie PunyadeeraSaliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery (GRIDD) and Menzies Health Institute Queensland (MIHQ), Griffith University, Nathan, Queensland, Australia.ORCID 0000-0001-9039-8259
The University of Queensland · AUGriffith University · AUQueensland University of Technology · AUQIMR Berghofer Medical Research Institute · AUQueensland Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the rising incidence, particularly of the human papillomavirus (HPV)-associated fraction of oropharyngeal cancer (OPC), there are no early detection methods for OPC. Considering the close association between saliva and head and neck cancers, this study was designed to investigate salivary micro RNA (miRNAs) associated with OPC, especially focusing on HPV-positive OPC.

methodsSaliva was collected from OPC patients at diagnosis and patients were clinically followed up ≤5 years. Salivary small RNA isolated from HPV-positive OPC patients (N = 6), and HPV-positive (N = 4) and negative controls (N = 6) were analysed by next-generation sequencing to identify dysregulated miRNAs. Discovered miRNAs were validated by quantitative PCR using two different assays in a separate cohort of patients (OPC = 91, controls = 92). The relative expression was calculated considering SNORD-96A as the normalizer. Candidate miRNAs with diagnostic and prognostic potential were evaluated by generalized logistic regression.

resultsA panel consisting of nine miRNAs was identified to have the best diagnostic performance to discriminate HPV-positive OPC from HPV-positive controls (AUC- validation-1 = 94.8%, validation-2 = 98%). Further, a panel consisting of six miRNAs were identified to discriminate OPC from controls regardless of the HPV status (AUC- validation-1 = 77.2%, validation-2 = 86.7%). In addition, the downregulation of hsa-miR-7-5p was significantly associated with poor overall survival of OPC patients (HR = 0.638). A panel consisting of nine miRNAs were identified for the prediction of the overall survival of the OPC patients (log-rank test-p = 0.0008).

conclusionThis study highlights that salivary miRNAs can play an essential role in the detection and prognostication of OPC.

Indexed as

Head and Neck NeoplasmsMicroRNAsOropharyngeal NeoplasmsPapillomavirus InfectionsBiomarkers, TumorHumansBiomarkers, TumorMicroRNAsbiomarkershuman papillomavirusmicro RNAoropharyngeal cancersaliva

Identifiers

PMID37278132
PMCPMC10417169
OpenAlexW4379508911

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Registered trials

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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.