Intratumor Microbiome Analysis Identifies Positive Association Between Megasphaera and Survival of Chinese Patients With Pancreatic Ductal Adenocarcinomas

Human tumors harbor a plethora of microbiota. It has been shown that the composition and diversity of intratumor microbiome are significantly associated with the survival of patients with pancreatic ductal adenocarcinoma (PDAC). However, the association in Chinese patients as well as the effect of d...

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Published in:Frontiers in immunology Vol. 13; p. 785422
Main Authors: Huang, Yu, Zhu, Ning, Zheng, Xing, Liu, Yanhong, Lu, Haopeng, Yin, Xiaochen, Hao, Huaijie, Tan, Yan, Wang, Dongjie, Hu, Han, Liang, Yong, Li, Xinxing, Hu, Zhiqian, Yin, Yiming
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media S.A 25-01-2022
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Summary:Human tumors harbor a plethora of microbiota. It has been shown that the composition and diversity of intratumor microbiome are significantly associated with the survival of patients with pancreatic ductal adenocarcinoma (PDAC). However, the association in Chinese patients as well as the effect of different microorganisms on inhibiting tumor growth are unclear. In this study, we collected tumor samples resected from long-term and short-term PDAC survivors and performed 16S rRNA amplicon sequencing. We found that the microbiome in samples with different survival time were significantly different, and the differential bacterial composition was associated with the metabolic pathways in the tumor microenvironment. Furthermore, administration of , one of the differential bacteria, induced a better tumor growth inhibition effect when combined with the immune checkpoint inhibitor anti-programmed cell death-1 (anti-PD-1) treatment in mice bearing 4T1 tumor. These results indicate that specific intratumor microbiome can enhance the anti-tumor effect in the host, laying a foundation for further clarifying the underlying detailed mechanism.
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Reviewed by: Bin Bao, Boston Children’s Hospital and Harvard Medical School, United States; Dalil Hannani, UMR5525 Techniques de l’Ingénierie Médicale et de la Complexité Informatique, Mathématiques et Applications, Grenoble (TIMC-IMAG), France; Shuqi Li, The Rockefeller University, United States
These authors have contributed equally to this work
Edited by: Xin Chen, BeiGene, China
This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2022.785422