# Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations

**Authors:** John P. McElderry, Tongwu Zhang, Wei Zhao, Phuc H. Hoang, Samuel Anyaso-Samuel, Jian Sang, Azhar Khandekar, Caleb Hartman, Frank J. Colón-Matos, Mona Miraftab, Monjoy Saha, Olivia Lee, Sunandini Sharma, Kristine M. Jones, Bin Zhu, Marcos Díaz-Gay, Luis Mas, Oscar Arrieta, Eric S. Edell, Jacobo Martínez Santamaría, Matthew B. Schabath, Sai Yendamuri, Marta Manczuk, Jolanta Lissowska, Beata Świątkowska, Anush Mukeria, Oxana Shangina, David Zaridze, Ivana Holcatova, Vladimir Janout, Dana Mates, Simona Ognjanovic, Milan Savic, Milica Kontic, Yohan Bossé, Bonnie E. Gould Rothberg, David C. Christiani, Valerie Gaborieau, Paul Brennan, Geoffrey Liu, Paul Hofman, Maria Pik Wong, Kin Chung Leung, Chih-Yi Chen, Chao Agnes Hsiung, Nathaniel Rothman, Charles Leduc, Marina K. Baine, William D. Travis, Lynette M. Sholl, Philippe Joubert, Robert Homer, Soo-Ryum Yang, Qing Lan, Martin A. Nowak, David C. Wedge, Ludmil B. Alexandrov, Stephen J. Chanock, Emily Vogtmann, Christian C. Abnet, Jianxin Shi, Maria Teresa Landi

PMC · DOI: 10.1038/s41467-025-66780-y · Nature Communications · 2025-12-12

## TL;DR

A large study of lung cancer microbiomes in never-smokers finds no significant links to cancer features or demographics.

## Contribution

The study is the largest to date profiling lung cancer microbiomes in never-smokers using multiple data types.

## Key findings

- Low biomass and few microbiome associations observed in lung cancer tissue using 16S and WGS.
- RNA-seq detected more microbial reads but no consistent clinical associations.
- No associations found between microbiome and human genomic alterations or survival.

## Abstract

In spite of the growing interest in the microbiome in human cancer, there are currently only small-scale lung cancer microbiome studies conducted directly on tissue. As part of the Sherlock-Lung study, we studied the microbiomes of 940 lung cancers (4090 samples) in never smokers (LCINS) directly from lung tissue using three data types: 16S rRNA gene sequencing (16S), whole-genome sequencing (WGS) with paired blood, and RNA-seq. We observe very low biomass and few microbiome associations in LCINS using 16S and WGS tissue. Using RNA-seq, we observe more total microbial reads, and decreased relative abundance of several commensal bacteria at the genus and species levels in tumors relative to paired normal lung tissue. Among all datasets, we see no consistent associations between the lung tissue microbiome, or circulating bacterial DNA, and any available demographic and clinical features, including age, sex, genetic ancestry, second-hand tobacco smoking exposure, LCINS histology, stage, and overall survival. We also observe no microbiome associations with any human genomic alterations within the same samples. Every null result should be interpreted with caution given the possibility of future methodological breakthroughs. However, all together, using multiple data types in nearly 1000 patients, we find no substantive role for the lung cancer microbiome in treatment-naïve LCINS.

Here, as part of the Sherlock-Lung study, the authors profile the microbiomes of 940 lung cancers in never smokers finding no significant associations with demographic and clinical features, suggesting lung bacteria are unlikely to have a sizable role in lung cancer.

## Linked entities

- **Diseases:** lung cancer (MONDO:0005138)

## Full-text entities

- **Diseases:** cancer (MESH:D009369), lung cancer microbiome (MESH:D008175)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12780107/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC12780107/full.md

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Source: https://tomesphere.com/paper/PMC12780107