Evidence map›Paper›PMID 40325116›Full record

ArticleScientific reports2025

Characterizations of lung cancer microbiome and exploration of potential microbial risk factors for lung cancer.

Ruzetuoheti Yiminniyaze, Youzhi Zhang, Ning Zhu, Xiujuan Zhang, Jing Wang, Chengwei Li, Gulinuer Wumaier, Daibing Zhou, Jingwen Xia, Shuanghui Li and 4 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Intratumoral Microbiome of Metastatic Pancreatic Ductal Adenocarcinoma.International journal of molecular sciences · 2026
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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

14 authors.

Ruzetuoheti YiminniyazeDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Youzhi ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Ning ZhuDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Xiujuan ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Jing WangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Chengwei LiDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Gulinuer WumaierDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Daibing ZhouDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Jingwen XiaDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Shuanghui LiDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Liang DongDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Yuanyuan ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China.
Yuhai ZhangDepartment of Health Statistics, Airforce Medical University, Xi'an, People's Republic of China. zhyh@fmmu.edu.cn.
Shengqing LiDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, No.12 Urumqi Middle Road, Shanghai, People's Republic of China. shengqing_li@fudan.edu.cn.

Funding

National Clinical Key Specialty Project Foundation 82241028National Natural Science Foundation of China 82270058Shanghai Year 2022 Science and Technology Innovation Action Plan Medical Innovation Research Special Project 22Y11900600
6 · The paper itself

Abstract

Recent studies have indicated that the lung microbiome may contribute to the development and progression of lung cancer, although the precise mechanisms remain to be fully elucidated. This study sought to delineate the microbial composition within lung cancer tissues and identify potential microbial risk factors. Tissue samples were collected from patients newly diagnosed with pulmonary opacities, and metagenomic next-generation sequencing was employed to analyze these samples. Tissue samples were collected from 130 patients with pulmonary opacities, categorized into lung cancer (50 cases), pulmonary infection (53 cases), and non-infectious pulmonary diseases (27 cases). The non-infectious group served as the primary control. The diversity of the lung microbiome in lung cancer tissues was found to be comparable to that observed in non-infectious benign pulmonary conditions. Specific phyla and genera exhibited increased abundance in lung cancer tissues. Additionally, correlations were established between certain microorganisms and clinical characteristics associated with lung cancer. Multivariate binary logistic regression analysis revealed that age and Shewanella were independent risk factors for lung cancer development. This study suggests that the composition of the lung microbiome differs significantly between individuals with lung cancer and those with benign pulmonary conditions, with certain microbes such as Shewanella potentially serving as risk factors for lung cancer progression.

Indexed as

Lung NeoplasmsMicrobiotaAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansLungMaleMiddle AgedRisk FactorsShewanellaBinary logistic regressionLung cancerMetagenomic next generation sequencing (mNGS)Microbiome

Identifiers

PMID40325116
PMCPMC12052825

What OpenQuestion holds

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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.