Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1

被引:309
作者
McCulloch, John A. [1 ]
Davar, Diwakar [2 ,3 ]
Rodrigues, Richard R. [1 ,4 ]
Badger, Jonathan H. [1 ]
Fang, Jennifer R. [5 ]
Cole, Alicia M. [5 ]
Balaji, Ascharya K. [5 ]
Vetizou, Marie [5 ]
Prescott, Stephanie M. [5 ]
Fernandes, Miriam R. [5 ]
Costa, Raquel G. F. [5 ]
Yuan, Wuxing [1 ,4 ]
Salcedo, Rosalba [5 ]
Bahadiroglu, Erol [5 ]
Roy, Soumen [5 ]
DeBlasio, Richelle N. [2 ,3 ]
Morrison, Robert M. [2 ,3 ]
Chauvin, Joe-Marc [2 ,3 ]
Ding, Quanquan [2 ,3 ]
Zidi, Bochra [2 ,3 ]
Lowin, Ava [2 ,3 ]
Chakka, Saranya [2 ,3 ]
Gao, Wentao [2 ,3 ]
Pagliano, Ornella [2 ,3 ]
Ernst, Scarlett J. [2 ,3 ]
Rose, Amy [2 ,3 ]
Newman, Nolan K. [6 ]
Morgun, Andrey [6 ]
Zarour, Hassane M. [2 ,3 ,7 ]
Trinchieri, Giorgio [5 ]
Dzutsev, Amiran K. [5 ]
机构
[1] NCI, Genet & Microbiome Core, Lab Integrat Canc Immunol, Ctr Canc Res, Bethesda, MD 20892 USA
[2] Univ Pittsburgh, Dept Med, Pittsburgh, PA 15260 USA
[3] Univ Pittsburgh, UPMC Hillman Canc Ctr, Pittsburgh, PA 15260 USA
[4] Frederick Natl Lab Canc Res, Basic Sci Program, Frederick, MD USA
[5] NCI, Canc Immunobiol Sect, Lab Integrat Canc Immunol, Ctr Canc Res, Bethesda, MD 20892 USA
[6] Oregon State Univ, Coll Pharm, Corvallis, OR 97331 USA
[7] Univ Pittsburgh, Dept Immunol, Pittsburgh, PA 15260 USA
关键词
GUT MICROBIOTA; NIVOLUMAB; EFFICACY; IMMUNOTHERAPY; ASSOCIATION; METABOLITES; MONOTHERAPY; RESISTANCE; THERAPY; MEGAHIT;
D O I
10.1038/s41591-022-01698-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Integrated analysis of microbiome and host cell transcriptional data on clinically annotated cohorts of patients with melanoma who were treated with anti-programmed cell death protein-1, uncovers new associations of streptococcus species with immune-related adverse effects and finds consistent microbiome associations with clinical outcomes. Ample evidence indicates that the gut microbiome is a tumor-extrinsic factor associated with antitumor response to anti-programmed cell death protein-1 (PD-1) therapy, but inconsistencies exist between published microbial signatures associated with clinical outcomes. To resolve this, we evaluated a new melanoma cohort, along with four published datasets. Time-to-event analysis showed that baseline microbiota composition was optimally associated with clinical outcome at approximately 1 year after initiation of treatment. Meta-analysis and other bioinformatic analyses of the combined data show that bacteria associated with favorable response are confined within the Actinobacteria phylum and the Lachnospiraceae/Ruminococcaceae families of Firmicutes. Conversely, Gram-negative bacteria were associated with an inflammatory host intestinal gene signature, increased blood neutrophil-to-lymphocyte ratio, and unfavorable outcome. Two microbial signatures, enriched for Lachnospiraceae spp. and Streptococcaceae spp., were associated with favorable and unfavorable clinical response, respectively, and with distinct immune-related adverse effects. Despite between-cohort heterogeneity, optimized all-minus-one supervised learning algorithms trained on batch-corrected microbiome data consistently predicted outcomes to programmed cell death protein-1 therapy in all cohorts. Gut microbial communities (microbiotypes) with nonuniform geographical distribution were associated with favorable and unfavorable outcomes, contributing to discrepancies between cohorts. Our findings shed new light on the complex interaction between the gut microbiome and response to cancer immunotherapy, providing a roadmap for future studies.
引用
收藏
页码:545 / +
页数:32
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