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Gut Microbiome Analysis for Detecting Colon Cancer Mutations

Technology #20160083

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Gut Microbiota DNA SequencingFusobacteria Gut MicrobiotaColon Cancer
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Researchers
Daniel Knights, PhD
Assistant Professor, Department of Computer Science and Biotechnology Institute
External Link (www.micab.umn.edu)
Ran Blekhman, PhD
Assistant Professor, Genetics, Cell Biology and Development, College of Biological Sciences
External Link (cbs.umn.edu)
Michael Burns, PhD
Post-doctoral Fellow, Genetics, Cell Biology and Development, College of Biological Sciences
External Link (cbs.umn.edu)
Emmanuel Montassier, MD, PhD
Associate Professor, University of Nantes
Managed By
Raj Udupa
Technology Licensing Officer 612-624-3966
Patent Protection

Provisional Patent Application Filed

Predicts Colon Cancer Mutations

Analyzing the microbiome of colon cancer microenvironments can detect colorectal cancer (CRC) and even predict specific types of mutations present in a tumor. This new, non-invasive method was developed by analyzing fecal swabs from tumor microenvironment microbial communities and found that specific tumor mutations were associated with specific gut bacteria. In fact, results found a correlation between the presence and abundance of specific bacterial taxa with loss-of-function (LOF) mutations in certain genes. The method includes a kit comprised of probes and/or primers used for detecting specific bacterial taxa in the colon mucosa and stool microbiomes of CRC cancer patients. The method might also be employed as a non-invasive screening for the presence or increased risk of colon cancer.

Noninvasive Colon Cancer Detection without DNA Sequencing

While DNA sequencing of stool microbiomes has previously detected colon cancer in a non-invasive manner, this method is unique in that it can detect or predict specific types of mutations without having to sequence the exome or genome of tumor cells. Using only the taxonomic profile of the microbial community from the tumor microenvironment, this method can predict whether certain types of mutations are present in a particular tumor’s genome, insight which may lead to increased efficacy of treatment.

BENEFITS AND FEATURES OF GUT MICROBIOTA ANALYSIS FOR DETECTING COLON CANCER MUTATIONS:

  • Predicts specific types of colorectal cancer mutations
  • Correlates specific bacteria with specific tumor mutations
  • Packaged as a kit for bacterial taxa detection
  • DNA sequencing of tumor exome or genome not required
  • May be used as colon cancer screening test
  • Results may help treat or prevent colon cancer

Phase of Development Discovery