Abstract

The gut microbiota may have an effect on the therapeutic resistance and toxicity of immune checkpoint inhibitors (ICIs). However, the associations between the highly variable genomes of gut bacteria and the effectiveness of ICIs remain unclear, despite the fact that merely a few gene mutations between similar bacterial strains may cause significant phenotypic variations. Here, using datasets from the gut microbiome of 996 patients from seven clinical trials, we systematically identify microbial genomic structural variants (SVs) using SGV-Finder. The associations between SVs and response, progression-free survival, overall survival, and immune-related adverse events are systematically explored by metagenome-wide association analysis and replicated in different cohorts. Associated SVs are located in multiple species, including Akkermansia muciniphila, Dorea formicigenerans, and Bacteroides caccae. We find genes that encode enzymes that participate in glucose metabolism be harbored in these associated regions. This work uncovers a nascent layer of gut microbiome heterogeneity that is correlated with hosts’ prognosis following ICI treatment and represents an advance in our knowledge of the intricate relationships between microbiota and tumor immunotherapy.

Here, using datasets from the gut microbiome of 996 patients from seven clinical trials, the authors characterize gut microbial genomic structural variants, located in species such as Akkermansia muciniphila, Dorea formicigenerans, and Bacteroides caccae, that associate with hosts’ response and survival after immune checkpoint inhibitors treatment.

Details

Title
Gut microbial structural variation associates with immune checkpoint inhibitor response
Author
Liu, Rong 1   VIAFID ORCID Logo  ; Zou, You 2 ; Wang, Wei-Quan 1 ; Chen, Jun-Hong 1 ; Zhang, Lei 1 ; Feng, Jia 1 ; Yin, Ji-Ye 1   VIAFID ORCID Logo  ; Mao, Xiao-Yuan 1 ; Li, Qing 1   VIAFID ORCID Logo  ; Luo, Zhi-Ying 3 ; Zhang, Wei 1   VIAFID ORCID Logo  ; Wang, Dao-Ming 4   VIAFID ORCID Logo 

 Central South University, Department of Clinical Pharmacology, Xiangya Hospital, Changsha, P. R. China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164); Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, P. R. China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164); Ministry of Education, Engineering Research Center of Applied Technology of Pharmacogenomics, Changsha, P. R. China (GRID:grid.216417.7); National Clinical Research Center for Geriatric Disorders, Changsha, P.R. China (GRID:grid.216417.7) 
 Central South University, Information and Network center, Changsha, P.R. China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164) 
 Central South University, Department of Pharmacy, The Second Xiangya Hospital, Changsha, PR China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164); Central South University, Institute of Clinical Pharmacy, Changsha, PR China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164) 
 Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (GRID:grid.4494.d) (ISNI:0000 0000 9558 4598); Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands (GRID:grid.4494.d) (ISNI:0000 0000 9558 4598) 
Pages
7421
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2897051834
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.