mSystems · 2020 · 40 citations · 42 references
Life SciencesMicrobiologyOncologyMetagenomicsMicrobial EcologyMicrobiome ResearchColorectal CancerGut MicrobiomeGut MicrobiotaMicrobial Community ProfilingMicrobiome CompositionMicrobiome DysbiosisColorectal Cancer DysbiosisDifferential Abundance AnalysisFecal Microbiome AnalysisGut Microbiota DysbiosisMachine Learning-based ClassificationMicrobiome Signature DiscoveryMicrobiome Signatures Of DiseaseRandom Forest Classification
Turbulent fecal and tissue microbiome dysbiosis of colorectal carcinoma and adenoma has been identified, and some taxa have been proven to be carcinogenic. However, the microbiomes of surrounding adjacent tissues of colonic cancerous tissues were seldom investigated uniformly on a large scale. Here, we characterize the microbiome signatures and dysbiosis of various colonic cancer sample groups. We found a high correlation between colorectal carcinoma adjacent tissue microbiomes and their on-site counterparts. We also discovered that the microbiome dysbiosis in adjacent tissues could discriminate colorectal carcinomas from healthy controls effectively. These results extend our knowledge on the microbial profile of colorectal cancer tissues and highlight microbiota dysbiosis in the surrounding tissues. They also suggest that microbial feature variations of cancerous lesion-adjacent tissues might help to reveal the microbial etiology of colonic cancer and could ultimately be applied for diagnostic and screening purposes.
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Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony Bolger, Marc Lohse, Björn Usadel · Bioinformatics · 2014 · 69.7K citations · Full text
Patrick D. Schloss, Sarah L. Westcott, Thomas Ryabin et al. · Applied and Environmental Microbiology · 2009 · 21.8K citations · Full text
Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2019 · 21K citations · Full text