Analysis of the gut microbiome composition is becoming increasingly important given its influence on a wide variety of human diseases including cancer.
Numerous studies have indicated that the gut microbiome can influence cancer susceptibility to therapy, tumorigenesis and cancer progression. Through, in part, its profound impact on the immune cell function and its inherent metabolic capacity. Emerging evidence suggest that gut microbiome can be manipulated for improving the effects of cancer therapies. Microbiome composition and relative abundance of different microbial taxa can be measured by combining DNA sequencing of hypervariable regions of the 16S ribosomal RNA gene or a whole‐genome shotgun sequencing with computational analysis. The scientific and clinical utility of microbial analysis by NGS strongly depends on the accuracy and precision of identifying and quantitating the microbial taxa. In this poster, presented at SITC 2018, we report on the development and validation of a new assay and bioinformatics analysis pipeline for accurate taxonomic classification of complex microbial samples such as stool using 16S rRNA sequencing.
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