MODEL FOR PREDICTING TREATMENT RESPONSIVENESS BASED ON INTESTINAL MICROBIAL INFORMATION

摘要

The present disclosure provides a method for predicting a responsiveness of a subject to treatment with an immune checkpoint inhibitor therapy such as a PD-1 signaling pathway inhibitor from a sample comprising the gut microbiota of the subject through the presence and abundance information of microorganisms of one or more genera. Also disclosed are sequences and compositions for detecting intestinal microorganisms, and related uses thereof.