Evidence map›Paper›PMID 41142119›Full record

ArticleiScience2025

Extracellular vesicle derived miRNAs from plasma as promising diagnosis and prognosis biomarkers for neuroblastoma.

Duo Zhou, Yilong Wang, Mengying Zhu, Lingjie Li, Jinkai Peng, Yuxiang Hu, Jieni Xiong, Ting Tao, Jinhu Wang, Zhengyan Zhao

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Duo ZhouDepartment of Genetics and Metabolism, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310052, China.
Yilong WangDepartment of Neurology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310052, China.
Mengying ZhuDepartment of Neurology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310052, China.
Lingjie LiPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Jinkai PengPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Yuxiang HuPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Jieni XiongPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Ting TaoPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Jinhu WangPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Zhengyan ZhaoPediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma (NB) is the most common extracranial solid tumor in children. MYCN amplification remains a critical indicator of high-risk disease and poor prognosis. Small extracellular vesicles (sEVs) carry microRNAs (miRNAs) with promising diagnostic potential. This study identified plasma sEV-derived miRNA biomarkers for NB diagnosis and MYCN status prediction. Using miRNA-seq, we analyzed plasma sEVs from 24 patients with NB (stratified by MYCN status and risk) and 10 healthy controls. Validation was performed in an independent cohort of 87 patients with NB and 47 controls. We identified six miRNAs (miR-150-5p, miR-142-5p, miR-30b-5p, miR-320a-3p, miR-30b, and miR-342-3p) that were significantly dysregulated in patients with NB, all showing excellent diagnostic accuracy (AUC >0.8). Notably, miR-150-5p and miR-342-3p differentiated MYCN-amplified from nonamplified patients (AUC = 0.738). Functional analysis revealed involvement in key NB pathways. Our findings demonstrate that plasma sEV-derived miRNAs represent valuable noninvasive biomarkers for neuroblastoma diagnosis and risk stratification.

Indexed as

DiagnosticsMolecular biologyOncology

Identifiers

PMID41142119
PMCPMC12549392

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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.