Evidence map›Paper›PMID 41602101›Full record

ArticleFrontiers in cellular and infection microbiology2025

Clinical validation and utility of targeted nanopore sequencing for rapid pathogen diagnosis and precision therapy in lung cancer patients with pulmonary infections.

Qingmei Deng, Yanzhe Liu, Jian Zhang, Hongshan Zhang, Yiyong Zhang, Meng Wang, Min Jia, Dushan Ding, Yuqin Fang, Yunfei Wang and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

12 authors.

Qingmei DengScience Island Branch of Graduate School, University of Science and Technology of China, Hefei, China.
Yanzhe LiuHefei CAS-Hongshuo Medical Laboratory Ltd, Hefei, China.
Jian ZhangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Hongshan ZhangHangzhou Shengting Medical Technology Co., Ltd, Hangzhou, China.
Yiyong ZhangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Meng WangInstitute of Health Education, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Min JiaInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China.
Dushan DingHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Yuqin FangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Yunfei WangHangzhou Shengting Medical Technology Co., Ltd, Hangzhou, China.
Hongcang GuScience Island Branch of Graduate School, University of Science and Technology of China, Hefei, China.
Hongzhi WangScience Island Branch of Graduate School, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary infections are common in patients with lung cancer (LC), complicating diagnosis and treatment. This study explored the diagnostic performance and clinical utility of targeted nanopore sequencing (TNPseq) for detecting pathogens in LC-related pulmonary infections. Methods: A total of 143 patients with LC or benign pulmonary diseases complicated by pulmonary infections were included and stratified into diagnostic and therapeutic cohorts. Sputum samples underwent conventional culture, metagenomic next-generation sequencing (mNGS), and TNPseq analyses. Microbiota profiles were compared across disease groups and correlated with tumor therapy responses. In the therapeutic cohort, clinical outcomes were assessed between empirical therapy and TNPseq-guided therapy. Results: TNPseq identified a significantly higher proportion of clinically relevant pathogens compared to mNGS (48.76% vs. 16.80%, p < 0.001) and demonstrated superior sensitivity (81.25% vs. 68.75%), with a 40.7% reduction in turnaround time (16 hours vs. 27 hours). Both sequencing methods revealed an enrichment of Conclusions: By enabling rapid pathogen detection and profiling of the pulmonary microbiome, TNPseq facilitates targeted therapy and reduces antibiotic overuse in LC patients. These findings highlight the potential of TNPseq as a promising, rapid, and non-invasive diagnostic candidate for first-line use, offering a comprehensive view of both infection and host-microbe interactions in immunocompromised patients.

Indexed as

Lung NeoplasmsNanopore SequencingPrecision MedicineRespiratory Tract InfectionsAgedAged, 80 and overBacteriaFemaleHigh-Throughput Nucleotide SequencingHumansMaleMetagenomicsMicrobiotaMiddle AgedSensitivity and SpecificitySputumlung cancerprecision therapypulmonary infectionsrapid pathogen diagnosistargeted nanopore sequencing

Identifiers

PMID41602101
PMCPMC12833418

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Registered trials

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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.