Evidence map›Paper›PMID 40080246›Full record

ArticleJournal of neuro-oncology2025

Serum exosomal miRNA contributes to the diagnosis of leptomeningeal carcinomatosis.

Jie Jin, Junjuan Qin, Xuejiao Qi, Jiasi Zhang, YingLu Zhang

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Jie Jin *Xiong'an Xuanwu Hospital, Baoding, 070001, PR China. xionganxuanwu2022@126.com.ORCID https://orcid.org/0009-0005-1334-4683
Junjuan Qin *Xiong'an Xuanwu Hospital, Baoding, 070001, PR China.
Xuejiao QiThe Second Hospital of Hebei Medical University, Shijiazhuang, 050000, PR China.
Jiasi ZhangXiong'an Xuanwu Hospital, Baoding, 070001, PR China.
YingLu ZhangXiong'an Xuanwu Hospital, Baoding, 070001, PR China.

Funding

Medical science research project of Hebei Provincial Health Commission of China 20251629
6 · The paper itself

Abstract

purposeLeptomeningeal carcinomatosis (LC) is a severe complication in the advanced stage of lung adenocarcinoma, with an extremely poor prognosis. Currently, the diagnosis of LC poses challenges. Serum exosomal miRNAs (microRNAs) have been demonstrated to possess potential as viable biomarkers. However, their value in the diagnosis of LC remains unclear.

methodsIn this study, serum samples were collected from lung adenocarcinoma patients with LC. The control groups consisted of patients with early-stage and advanced-stage lung adenocarcinoma without LC. Serum exosomes were isolated for high - throughput RNA sequencing to screen for differential miRNAs, and the results were validated in 123 samples. Subsequently, the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic ability of exosomal miRNAs for LC.

resultsThe results of miRNA sequencing revealed seven differentially enriched miRNAs (miRNA-1296-5p, miR-503-5p, miR-499a-5p, miR-374a-5p, miR-3173-5p, miR-370-3p and miR-885-3p). The ddPCR confirmed that the expression levels of miRNA-1296-5p, miR-499a-5p and miR-374a-5p were significantly elevated in LC, while miR-370-3p was significantly decreased (P < 0.05). ROC curve analysis showed that the AUC of the combination of miRNA-1296-5p, miR-499a-5p and miR-370-3p with CEA was 0.803 (P < 0.0001), displaying higher diagnostic power for LC.

conclusionThis study suggests that the specific expression of miRNA-1296-5p, miR-499a-5p, miR-374a-5p and miR-370-3p in the serum exosomes of LC, which has diagnostic potential. And the combination of miRNA-1296-5p, miR-499a-5p and miR-370-3p with CEA can further enhance this potential.

Indexed as

Biomarkers, TumorExosomesLung NeoplasmsMeningeal CarcinomatosisMicroRNAsAdenocarcinoma of LungAgedFemaleHumansMaleMiddle AgedPrognosisROC CurveBiomarkers, TumorMicroRNAsDiagnosisExosomesLeptomeningeal carcinomatosisLung adenocarcinomamiRNA

Identifiers

PMID40080246
PMCPMC12106567

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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.