Communications Biology · 2021 · 143 citations · 56 references
Life SciencesMicrobiologyOncologyInflammationMetagenomicsMicrobiome ResearchInflammation-associated CarcinogenesisMetagenomic AnalysisMicrobial Community ProfilingMicrobiome CompositionMicrobiome DiversityMicrobiome FunctionHost GeneticsHost-microbiome Interactions In CancerHost-microbiota InteractionsHost-microbiota SymbiosisMetagenomic SequencingMicrobial Etiology Of CancerMicrobiome-associated CarcinogenesisMicrobiome-driven Inflammation
Despite the uniform mortality in pancreatic adenocarcinoma (PDAC), clinical disease heterogeneity exists with limited genomic differences. A highly aggressive tumor subtype termed 'basal-like' was identified to show worse outcomes and higher inflammatory responses. Here, we focus on the microbial effect in PDAC progression and present a comprehensive analysis of the tumor microbiome in different PDAC subtypes with resectable tumors using metagenomic sequencing. We found distinctive microbial communities in basal-like tumors and identified an increasing abundance of Acinetobacter, Pseudomonas and Sphingopyxis to be highly associated with carcinogenesis. Functional characterization of microbial genes suggested the potential to induce pathogen-related inflammation. Host-microbiota interplay analysis provided new insights into the tumorigenic role of specific microbiome compositions and demonstrated the influence of host genetics in shaping the tumor microbiome. Taken together, these findings indicated that the tumor microbiome is closely related to PDAC oncogenesis and the induction of inflammation. Additionally, our data revealed the microbial basis of PDAC heterogeneity and proved the predictive value of the microbiome, which will contribute to the intervention and treatment of disease.
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