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- W4317104906 abstract "Abstract More than 1,000 species of bacteria, archaea, viruses and fungi live in the human gut. Far from being passive passengers, these organisms strongly interact with one another and with their host’s metabolism and immune system. Compelling early experiments have demonstrated associations between the intestinal microbiome composition and obesity, cardiovascular diseases, and certain cancer chemotherapies’ efficacy. Yet teasing apart the mechanisms by which microbes impact host health has been challenging. To accelerate an otherwise challenging, slow and tedious process and to deconstruct mechanisms, we must critically examine our existing “tool kit” for studying the microbiome, and mature our measurement tools to meet these challenges. Our translational laboratory builds and designs observational and interventional clinical cohorts to study. We have also steadfastly worked to develop genomic tools to study strain level dynamics of the microbiome, how microbial genomes change over time and how microbes use hidden “microproteins” to communicate with each other and their human hosts. In this presentation, I will speak about three recent developments in our lab: (1) I will introduce the importance of absolute quantification in microbiome research, and our efforts toward that. This will form the basis of revised estimates of the number of microbial cells in a human body. (2) I will give an overview of a new computational workflow called “Phanta”, which enables simultaneous taxonomic profiling of eukaryotes, bacteria and viruses in a human gut metagenomic sample. (3) I will share unpublished work on how antibiotic exposure negatively impacts cancer outcomes in patients with triple-negative breast cancer. Citation Format: Ami S. Bhatt. Measuring the microbiome: Improving the predictive power of microbiome analysis in cancer outcomes [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr IA006." @default.
- W4317104906 created "2023-01-18" @default.
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- W4317104906 date "2023-01-15" @default.
- W4317104906 modified "2023-09-27" @default.
- W4317104906 title "Abstract IA006: Measuring the microbiome: Improving the predictive power of microbiome analysis in cancer outcomes" @default.
- W4317104906 doi "https://doi.org/10.1158/1538-7445.agca22-ia006" @default.
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