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ImmunogenomicsID®Multidimensional Analysis for Building Biomarkers

Predicting Response to Immunotherapies, Holistically

ImmunogenomicsID guides the investigation of critical immuno-oncology genes with insights including expression, variant effect impact, and DNA/RNA allelic fractions. Predicting response to immunotherapies requires a holistic understanding of the tumor and tumor microenvironment, and our technologies deliver the multidimensional analysis required to build effective biomarkers for your translational and clinical studies.

Rapidly evaluate the tumor biology of a sample in key areas including:

Antigen Processing Machinery (APM). Detecting critical mutations in genes such as HLA and B2M are important to comprehend potential mechanisms of acquired resistance to immunotherapies.
Repair and Replication. Microsatellite instability High (MSI-H) and DNA mismatch repair-deficiency, have emerged as promising predictive biomarkers of response or non-response to ICB.
Checkpoint Modulation. Evaluating the tumor’s checkpoint ligand expression is key to understanding the likely mechanisms of tumor escape.
Oncoviruses. Because roughly 12% of all cancers are associated with the presence of an oncogenic viral infection, our comprehensive immunogenomics platform enables the detection of seven of the most common oncoviruses.
Tumor-associated Antigens. ImmunogenomicsID includes data on critical genes associated with shared antigens, which are common to specific tumor lineages and can be used as targets for adoptive cell therapies.
Adaptive and Innate Immune Response. ImmunogenomicsID reports on genes associated with both types of immune response to better understand the activity profile of the immune infiltrate through DNA and RNA data on genes such as AIF1, IL2, IRF1, and VCAM1.
Cytokines and Chemokines. Chemokines such as CXCL10, CXCL9, and CXCL11 stimulate cytocidal activity in the immune infiltrate. ImmunogenomicsID reports on interleukins and chemokines to further elucidate the tumor microenvironment.
Cytotoxicity. Evaluating the expression of granzymes (GZMs), perforin 1 (PRF1) and granulysin (GNLY) can help to determine the degree of cytotoxic activity within a tumor.

We can see
what others miss.

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ImmunogenomicsID®Multidimensional Analysis for Building Biomarkers

Predicting Response to Immunotherapies, Holistically

Rapidly evaluate the tumor biology of a sample in key areas including:

We can see what others miss.

We can see
what others miss.