Abstract

Background

Checkpoint-blockade immunotherapy targeting programmed cell death protein 1 (PD-1) has recently shown promising efficacy in hepatocellular carcinoma (HCC). However, the factors affecting and predicting the response to anti-PD-1 immunotherapy in HCC are still unclear. Herein, we report the dynamic variation characteristics and specificities of the gut microbiome during anti-PD-1 immunotherapy in HCC using metagenomic sequencing.

Results

Fecal samples from patients responding to immunotherapy showed higher taxa richness and more gene counts than those of non-responders. For dynamic analysis during anti-PD-1 immunotherapy, the dissimilarity of beta diversity became prominent across patients as early as Week 6. In non-responders, Proteobacteria increased from Week 3, and became predominant at Week 12. Twenty responder-enriched species, including Akkermansia muciniphila and Ruminococcaceae spp., were further identified. The related functional genes and metabolic pathway analysis, such as carbohydrate metabolism and methanogenesis, verified the potential bioactivities of responder-enriched species.

Conclusions

Gut microbiome may have a critical impact on the responses of HCC patients treated with anti-PD-1 immunotherapy. The dynamic variation characteristics of the gut microbiome may provide early predictions of the outcomes of immunotherapy in HCC, which is critical for disease-monitoring and treatment decision-making.

Details

Title
Gut microbiome affects the response to anti-PD-1 immunotherapy in patients with hepatocellular carcinoma
Author
Zheng, Yi; Wang, Tingting; Tu, Xiaoxuan; Huang, Yun; Zhang, Hangyu; Tan, Di; Jiang, Weiqin; Cai, Shunfeng; Zhao, Peng; Song, Ruixue; Li, Peilu; Qin, Nan; Fang, Weijia  VIAFID ORCID Logo 
Section
Short Report
Publication year
2019
Publication date
Jul 2019
Publisher
BMJ Publishing Group LTD
e-ISSN
20511426
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2638115091
Copyright
© 2019 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.