Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes

2019 Cell 1,429 citations

Abstract

Most patients diagnosed with resected pancreatic adenocarcinoma (PDAC) survive less than 5 years, but a minor subset survives longer. Here, we dissect the role of the tumor microbiota and the immune system in influencing long-term survival. Using 16S rRNA gene sequencing, we analyzed the tumor microbiome composition in PDAC patients with short-term survival (STS) and long-term survival (LTS). We found higher alpha-diversity in the tumor microbiome of LTS patients and identified an intra-tumoral microbiome signature (Pseudoxanthomonas-Streptomyces-Saccharopolyspora-Bacillus clausii) highly predictive of long-term survivorship in both discovery and validation cohorts. Through human-into-mice fecal microbiota transplantation (FMT) experiments from STS, LTS, or control donors, we were able to differentially modulate the tumor microbiome and affect tumor growth as well as tumor immune infiltration. Our study demonstrates that PDAC microbiome composition, which cross-talks to the gut microbiome, influences the host immune response and natural history of the disease.

Keywords

BiologyMicrobiomeDiversity (politics)Pancreatic cancerCancerComposition (language)Evolutionary biologyComputational biologyEcologyGenetics

MeSH Terms

AdultAgedAnimalsBacteriaCarcinomaPancreatic DuctalCell LineTumorCohort StudiesFecal Microbiota TransplantationFecesFemaleGastrointestinal MicrobiomeHumansMaleMiceMiceInbred C57BLMiddle AgedPancreatic NeoplasmsRNARibosomal16SSequence AnalysisRNASurvival Rate

Affiliated Institutions

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Publication Info

Year
2019
Type
article
Volume
178
Issue
4
Pages
795-806.e12
Citations
1429
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1429
OpenAlex
63
Influential
1244
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Cite This

Erick Riquelme, Yu Zhang, Liangliang Zhang et al. (2019). Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes. Cell , 178 (4) , 795-806.e12. https://doi.org/10.1016/j.cell.2019.07.008

Identifiers

DOI
10.1016/j.cell.2019.07.008
PMID
31398337
PMCID
PMC7288240

Data Quality

Data completeness: 90%