Evidence map›Paper›PMID 41852386›Full record

ArticleFrontiers in microbiomes2025

Microbial hallmarks of the respiratory tract in lung cancer: a meta-analysis.

Bin Zhu, Stephanie S McHale, Michelle Van Scoyk, Gregory Riddick, Pei-Ying Wu, Chu-Fang Chou, Katherine Y Tossas, Ching-Yi Chen, Robert A Winn

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 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. Review
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

9 authors.

Bin ZhuMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Stephanie S McHaleMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Michelle Van ScoykMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Gregory RiddickMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Pei-Ying WuMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Chu-Fang ChouMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Katherine Y TossasMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Ching-Yi ChenMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
Robert A WinnMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.

Funding

Elucidating the Role of the Vaginal Microbiome in Racial Disparities in Precancerous Cervical Lesions: A Multi-level StudyK01CA285946 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Katherine Y Tossas · 2024 to 2026
$551k
NCI NIH HHS K01 CA285946
6 · The paper itself

Abstract

Introduction: Lung cancer is a leading cause of cancer-related deaths and has been associated with the microbiota of the human respiratory tract. However, the optimal sample type for studying the role of microbiota in lung cancer and the microbial hallmarks of lung cancer patients remain unclear. Methods: In this study, we downloaded 16S rRNA sequencing data of 1,105 high-quality samples from 13 BioProjects, including lung tissues, bronchoalveolar lavage (BAL) fluids, and saliva, and performed a meta-analysis. Results: Our results revealed that the BAL microbiota, dominated by taxa such as Discussion: These findings highlight distinct microbial patterns linked to lung cancer in the respiratory tract. More pronounced differences were observed in the BAL microbiota between healthy individuals and lung cancer patients, with the predominance of taxa, typically not abundant in the oral microbiota, serving as hallmarks of health.

Indexed as

bronchoalveolar lavagelung cancerlung microbiotamicrobiomeoral microbiota

Identifiers

PMID41852386
PMCPMC12993565

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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.