Evidence map›Paper›PMID 41028186›Full record

ArticleScientific reports2025

Metagenomic next-generation sequencing for concurrent diagnosis of infections and malignancies in patients with lung lesions: a single-center prospective study.

Junjun Chen, Hui Lou, Yake Yao, Qi Chen, Chao Liu, Hua Zhou

Abstract read
In one paragraph

Article in Scientific reports, 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. 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.

Junjun ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Hui LouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yake YaoDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Qi ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Chao LiuHangzhou Matridx Biotechnology Co., Ltd. Hangzhou, Zhejiang, 311112, China. zenith.fenix@gmail.com.
Hua ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. zhouhua1@zju.edu.cn.

Funding

the Key R&D Plan of the Ministry of Science and Technology of China 2022YFC2504502the National Natural Science Foundation of China 82272338the Research and Development Program of Zhejiang Province 2023C03068
6 · The paper itself

Abstract

Metagenomic next-generation sequencing (mNGS) offers sensitive and rapid pathogen detection and has the added advantage of analyzing chromosomal copy number variations (CNVs) of the host in the same test. This study aimed to evaluate the dual diagnostic performance of mNGS in clinical cases where pulmonary infections and malignancies are difficult to be distinguished. A single-center prospective study was conducted at the First Affiliated Hospital, Zhejiang University School of Medicine. The study recruited patients with lung lesions from October 2021 to October 2022 that required differential diagnosis of infection, malignancy, or other pulmonary diseases. The mNGS was used to detect both pathogens and potential CNVs of the host chromosomes to inform presence of neoplasm, and the results were compared to conventional microbiological tests (CMTs), bronchoalveolar lavage fluid (BALF) cytology, histology, and clinical composite diagnoses. The mNGS demonstrated a significantly higher sensitivity of infection diagnosis (56.5% vs.39.1% for CMTs, P < 0.05). The CNVs analysis showed moderate sensitivity (38.9%) and high specificity (100%) for diagnosing malignancy, which helped determine lung cancer in 4 cases who were initially considered as pneumonia. Combining CNVs analysis with BALF cytology has increased the sensitivity for detecting malignancy from 38.9% to 55.6%. Furthermore, the sensitivity of CNVs analysis was higher (50%) when bronchoscopy directly found positive signs, such as neoplasm or bronchial mucosal infiltration. This study highlights the dual capacity of mNGS to simultaneously detect infections and malignancies. The integration of both pathogen and tumor detection could significantly enhance clinical decision-making, particularly for patients with overlapping symptoms of infection and cancer.

Indexed as

High-Throughput Nucleotide SequencingLung NeoplasmsMetagenomicsAdultAgedBronchoalveolar Lavage FluidDiagnosis, DifferentialDNA Copy Number VariationsFemaleHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityCopy number variationsInfectionMalignancyMetagenomic next-generation sequencingPathogen

Identifiers

PMID41028186
PMCPMC12485095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.