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

作者：John McElderry, Tongwu Zhang, Zhao Wei, Phuc H. Hoang, Samuel Anyaso‐Samuel, Jian Sang, Azhar Khandekar, Caleb Hartman, Frank J. Colón-Matos, Mona Miraftab, Monjoy Saha, Olivia W. Lee, Sunandini Sharma, Kristine Jones, Bin Zhu, Marcos Díaz‐Gay, Luís Más, Óscar Gerardo Arrieta Rodríguez, Eric S. Edell, Jacobo Martínez Santamaría, Matthew B. Schabath, Sai Yendamuri, Marta Mańczuk, Jolanta Lissowska, Beata Świątkowska, Anush Mukeria, Oxana Shangina, David Zaridze, Ivana Holcátová, Vladimí­r Janout, Dana Mateș, Simona Ognjanovic, Milan Savić, Milica Kontić, Yohan Bossé, Bonnie E. Gould Rothberg, David C. Christiani, Valérie Gaborieau, Paul Brennan, Geoffrey Liu, Paul Hofman, Maria Pik Wong, Kin Chung Leung, Chih-Yi Chen, Chao A. 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 · 发表于：Nature Communications · 年份：2025 · DOI：10.1038/s41467-025-66780-y · 被引用次数：5 · 研究领域：Gut microbiota and health、Lung Cancer Diagnosis and Treatment、Lung Cancer Treatments and Mutations

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.