Journal article
Predictable modulation of cancer treatment outcomes by the gut microbiota
Leibniz-Institute for Natural Product Research and Infection Biology1
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark2
Bacterial Synthetic Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3
The University of Hong Kong4
Arizona State University5
The gut microbiota has the potential to influence the efficacy of cancer therapy. Here, we investigated the contribution of the intestinal microbiome on treatment outcomes in a heterogeneous cohort that included multiple cancer types to identify microbes with a global impact on immune response. Human gut metagenomic analysis revealed that responder patients had significantly higher microbial diversity and different microbiota compositions compared to non-responders.
A machine-learning model was developed and validated in an independent cohort to predict treatment outcomes based on gut microbiota composition and functional repertoires of responders and non-responders. Specific species, Bacteroides ovatus and Bacteroides xylanisolvens, were positively correlated with treatment outcomes.
Oral gavage of these responder bacteria significantly increased the efficacy of erlotinib and induced the expression of CXCL9 and IFN-γin a murine lung cancer model. These data suggest a predictable impact of specific constituents of the microbiota on tumor growth and cancer treatment outcomes with implications for both prognosis and therapy.
Language: | English |
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Publisher: | BioMed Central |
Year: | 2020 |
Pages: | 28 |
ISSN: | 20492618 |
Types: | Journal article |
DOI: | 10.1186/s40168-020-00811-2 |
ORCIDs: | 0000-0001-9393-124X , Vazquez-Uribe, Ruben , Quainoo, Scott , Imamovic, Lejla , Sørensen, Maria and Sommer, Morten Otto Alexander |
Adult Aged Animals Bacteria Cancer Disease Models, Animal Feces Female Gastrointestinal Microbiome Genetic Variation Gut microbiota Humans Longitudinal Studies Lung Neoplasms Machine learning Male Metagenomics Mice Mice, Inbred C57BL Microbial ecology Middle Aged Neoplasms Prognosis QR100-130 Treatment Outcome Treatment outcome