The Diversity of Gut Microbiome is Associated With Favorable Responses to Anti-Programmed Death 1 Immunotherapy in Chinese Patients With NSCLC.


Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
08 2019
Historique:
received: 13 02 2019
revised: 01 04 2019
accepted: 05 04 2019
pubmed: 27 4 2019
medline: 24 7 2020
entrez: 27 4 2019
Statut: ppublish

Résumé

Gut microbiome affecting the responses to immune checkpoint inhibitors against advanced NSCLC has been investigated in the Western population. However, considering pre-existing genetic and gut microbiota variation, the relevance remains unknown in the East-Asian NSCLC population. This study is designed to explore the relationship between gut microbiome and clinical outcomes in Chinese patients with NSCLC who have received treatment using an anti-programmed death 1 (PD-1) blockade. Thirty-seven patients with advanced NSCLC receiving treatment with nivolumab were enrolled in CheckMate 078 (NCT02613507) and CheckMate 870 (NCT03195491). Fecal samples were collected at the starting point, when patients received nivolumab, at clinical evaluation, and when disease progression was noted. 16S ribosome RNA gene sequencing was applied to assess gut microbiota profiles. Peripheral immune signatures were determined by multicolor flow cytometry in parallel. When subgrouping patients into responder (R) and nonresponder according to the clinical response assessed using Response Evaluation Criteria in Solid Tumor version 1.1, R patients harbored higher diversity of gut microbiome at the starting point with stable composition during the treatment. Patients with high microbiome diversity had significantly prolonged progression-free survival when compared to those with low diversity. Compositional difference was observed between the two groups as well with the enrichment of Alistipes putredinis, Bifidobacterium longum, and Prevotella copri in R whereas Ruminococcus_unclassified enriched in nonresponding patients. Analysis of systemic immune responses using multicolor flow cytometry revealed that patients with a high abundance of microbiome diversity in the gut had a greater frequency of unique memory CD8 Our results reveal strong correlation between gut microbiome diversity and the responses to anti-PD-1 immunotherapy in Chinese patients with advanced NSCLC. Patients with favorable gut microbiome (such as those with high diversity) exhibit enhanced memory T cell and natural killer cell signatures in the periphery. These findings provide important implications for the prediction and the evaluation of anti-PD-1 immunotherapy against NSCLC in the Chinese population.

Identifiants

pubmed: 31026576
pii: S1556-0864(19)30286-2
doi: 10.1016/j.jtho.2019.04.007
pii:
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0
PDCD1 protein, human 0
Programmed Cell Death 1 Receptor 0
Nivolumab 31YO63LBSN

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1378-1389

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Auteurs

Yueping Jin (Y)

Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

Hui Dong (H)

Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.

Liliang Xia (L)

Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Yi Yang (Y)

Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

Yongqiang Zhu (Y)

Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.

Yan Shen (Y)

Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.

Huajun Zheng (H)

Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.

Chengcheng Yao (C)

Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Ying Wang (Y)

Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shun Lu (S)

Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China. Electronic address: shunlu@sjtu.edu.cn.

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Classifications MeSH