Evidence map›Paper›PMID 40887544›Full record

SynthesisEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025

Exosomal MicroRNAs as novel diagnostic biomarkers in head and neck cancer: a systematic evaluation and meta-analysis.

Dazhao Cheng, Jing Yang, Ding Wu, Chenxin Qiao, Chuhan Wang, Ping Huang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2025. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Dazhao ChengState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Jing YangState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Ding WuState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Chenxin QiaoState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Chuhan WangState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Ping HuangState Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China. 7492402@qq.com.ORCID http://orcid.org/0009-0000-8803-0228

Funding

National Natural Science Foundation of China No. 92268119Shanxi Innovation Capability Support Program No.2025JC-GXPT-023Shanxi Natural Science Basic Research Plan-Key Project No.2022JZ-42
6 · The paper itself

Abstract

backgroundHead and neck cancer ranks as the sixth most common malignant tumor globally, with the majority of patients detected at advanced stages. Consequently, this study assessed the clinical diagnostic efficiency of exosomal microRNAs (miRNAs) for head and neck malignancies by meta-analysis.

methodsThe pertinent literature about exosomal miRNAs for the diagnosis of head and neck cancer was retrieved from the Chinese full-text journal database, Wanfang database, Wipu database, and the databases of PubMed, Embase, and Web of Science, spanning from the inception of the databases to April 30, 2024. The data were processed using Review Manager 5.4, Meta-DiSc 1.4, and Stata MP 18.0 software for meta-analysis.

results15 studies, encompassing 1,086 cases and 722 controls, were ultimately incorporated into 11 papers; owing to the heterogeneity induced by non-threshold effects among the studies, a random effects model was employed to aggregate the effect sizes; the aggregated sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) for diagnosing head and neck cancer using exosomal miRNAs were 0.81, 0.73, 4.2 and 0.24. The diagnostic odds ratio (DOR) and area under the curve (AUC) were 19.61 and 0.89, respectively. The subgroup analysis indicated that the simultaneous detection of numerous compounds could enhance diagnostic effectiveness.

conclusionsExosomal miRNAs may serve as biomarkers for the clinical diagnosis of head and neck cancer; nevertheless, their clinical implications require validation by additional comprehensive prospective investigations.

Indexed as

Biomarkers, TumorExosomesHead and Neck NeoplasmsMicroRNAsHumansBiomarkers, TumorMicroRNAsDiagnosisExosomeHead and neck cancerMeta-analysis

Identifiers

PMID40887544

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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.