Evidence map›Paper›PMID 40742499›Full record

ArticleJournal of neuro-oncology2025

Metagenomic next-generation sequencing and chromosomal copy number variation analysis in cerebrospinal fluid for the detection of meningeal carcinomatosis.

Weibi Chen, Jing Yuan, Gang Liu, Lili Cui, Fei Tian, Yan Zhang

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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

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

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

6 authors.

Weibi Chen *Department of Neurology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Jing Yuan *Department of Critical Care Medicine, Yijishan Hospital, Wannan Medical College, No.2, Zheshan Road, Jinhu District, Wuhu City, Anhui Province, China.
Gang LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Lili CuiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Fei TianDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Yan ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China. zhangylq@sina.com.

Funding

National Key Research and Development Program of China 2020YFC2005403
6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic accuracy of copy number variations (CNVs) and metagenomic nextgeneration sequencing (mNGS) in identifying meningeal carcinomatosis (MC) within the cerebrospinal fluid (CSF).

methodsPatients diagnosed with MC at Xuanwu Hospital, Capital Medical University, from January 2022 to January 2024, were prospectively enrolled. The diagnosis was confirmed via CSF cytology or meningeal biopsy, and a control group of encephalitis patients was used for comparative analysis. We introduced Onco-mNGS, a novel diagnostic protocol integrating mNGS with CNVs analysis to concurrently identify malignancies and pathogens from CSF specimens.

resultsThe study cohort comprised 12 patients with MC, predominantly with lung cancer. Initial CSF CNVs analysis yielded a sensitivity of 83%, with all control samples testing negative for CNVs, thereby achieving 100% specificity.

conclusionsCSF CNVs analysis, in combination with mNGS, presents a promising diagnostic modality for MC, offering high sensitivity and specificity and expanding the clinical utility of CSF mNGS in adjunctive diagnostics.

Indexed as

Biomarkers, TumorDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingMeningeal CarcinomatosisMetagenomicsAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesBiomarkers, TumorCerebrospinal fluidCopy number variationMeningeal carcinomatosisMetagenomic next-generation sequencing

Identifiers

PMID40742499

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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.