Molecular subtypes

A keystone to drug response biomarkers and central to the rT(I)ME Explorer Platform are high-resolution molecular subtypes – inherent genomic signals within a cancer type that are characteristic of its underlying biology. Through advanced computational biology, an expanding portfolio of cancer subtypes and biomarkers accrues within the rT(I)ME Explorer Platform.

Our platform leverages enormous, publicly available gene expression datasets complemented by proprietary data and tools to develop discrete sets of key genes that define cancer subtypes and predict drug response. By reducing the multitude of genes associated with response to discrete key gene set signatures, we enable rapid development of tumor-specific clinical assays. The signatures are platform agnostic, so they are capable of being deployed on established commercial instruments.

Our ability to identify and reduce to practice a select gene set that defines cancer subtypes and predicts drug response underlies our core patents and proprietary position. Our intellectual property includes technology licensed from the University of North Carolina, based on technology developed by Drs. Perou and Hayes, as well as technology developed by GeneCentric.

Immunogenomics

In addition to core tumor biology subtypes, which often include characteristic immune profiles, a deep immunogenomic capability is essential to fully exploring the tumor in the context of its associated microenvironment. The rT(I)ME Explorer Platform is comprised of unparalleled immunogenomic pipelines involving diverse neoantigen prediction, highly curated and proprietary immune gene signatures, and T cell and B cell (TCR/BCR) analysis capabilities. In addition to providing content for deriving predictive biomarkers, the immunogenomic component of the rT(I)ME Explorer Platform is a key target discovery enterprise, particularly with its neoantigen prediction capability.

RNA-based Antigen Discovery Immune Oncology (rADIO) informatics platform

Our RNA-based Antigen Discovery Immune Oncology (rADIO) informatics platform greatly expands the ability to discover therapeutic tumor antigens, as well as identify biomarkers for predicting immunotherapy response in cancer. rADIO goes beyond the use of gene expression to develop unique response signatures and unlocks underlying RNA sequence information that leads to new drug targets. In addition to discovering new therapeutic antigens, we can apply rADIO to new and existing datasets to identify improved biomarkers of immunotherapy response.

rADIO predicts tumor-specific and tumor-associated antigens from single nucleotide variants (SNVs), insertions and deletions (InDels), fusion events, splice variants, cancer/testis antigens (CTAs), overexpressed self-antigens, viruses and human endogenous retroviruses (hERVs).