Evidence map›Paper›PMID 37458838›Full record

ArticleOdontology2024

Profiling salivary miRNA expression levels in Fanconi anemia patients - a pilot study.

Kai Dun Tang, José M Amenábar, Juliana L Schussel, Cassius Carvalho Torres-Pereira, Carmem Bonfim, Nevenka Dimitrova, Gunter Hartel, Chamindie Punyadeera

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

Article in Odontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 7 institutions in 3 countries.

Kai Dun Tang *Faculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia.
José M Amenábar *Faculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia.
Juliana L SchusselStomatology Department, Universidade Federal Do Paraná, Curitiba, Brazil.
Cassius Carvalho Torres-PereiraStomatology Department, Universidade Federal Do Paraná, Curitiba, Brazil.
Carmem BonfimBone Marrow Transpantation Unit, Hospital de Clínicas, Universidade Federal Do Paraná, Curitiba, Brazil.
Nevenka DimitrovaNew York Medical College, Valhalla, NY, USA.
Gunter HartelStatistics Unit, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Chamindie PunyadeeraFaculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia. c.punyadeera@griffith.edu.au.
Universidade Federal do Paraná · BRGriffith University · AUHospital de Clínicas Universidade Federal do Paraná · BRNew York Medical College · USQIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AUTranslational Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overarching goal of this study is to predict the risk of developing oral squamous cell carcinoma (OSCC) in Fanconi anemia (FA) patients. We have compared the microRNA (miRNA, miR) expression levels in saliva samples from FA patients (n = 50) who are at a low-moderate and/or high risk of developing OSCC to saliva samples from healthy controls (n = 16). The miRNA expression levels in saliva samples were quantified using qPCR. We observed that miR-744, miR-150-5P, and miR-146B-5P had the best discriminatory capacity between FA patients and controls, with an area under the curve (AUC) of 94.0%, 92.9% and 85.3%, respectively. Our data suggest that miR-1, miR-146B-5P, miR-150-5P, miR-155-5P, and miR-744 could be used as panel to predict the risk of developing OSCC in FA patients, with a 89.3% sensitivity and a 68.2% specificity (AUC = 81.5%). Our preliminary data support the notion that the expression levels of salivary miRNAs have the potential to predict the risk of developing OSCC in FA patients and in the future may reduce deaths associated with OSCC.

Indexed as

Carcinoma, Squamous CellFanconi AnemiaHead and Neck NeoplasmsMicroRNAsMouth NeoplasmsBiomarkers, TumorHumansPilot ProjectsSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorMicroRNAsBiomarkerFanconi anemiamiRNAsOral squamous cell carcinomaSaliva

Identifiers

PMID37458838
PMCPMC10776736
OpenAlexW4384524682

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.