Advancing Modern Precision Oncology
The emergence of immune checkpoint inhibitors has highlighted the potential of immuno-oncology therapeutics to produce unprecedented beneficial responses in cancer patients. In certain cases, these drugs are capable of effectively curing a patient’s disease. However, the ongoing issue is that the majority of patients who are administered these therapies enjoy no benefit whatsoever.
Therefore, it’s imperative that we increase response rates to existing immunotherapies and develop new compounds that will successfully treat a larger proportion of cancer patients. We believe that the ImmunoID NeXT Platform™ will assist in realizing both of these goals.
With ImmunoID NeXT, oncology researchers can comprehensively analyze both a tumor and its microenvironment from a single tumor sample. It enables customers to maximize the data generated from each sample while also decreasing the complexity of data interpretation by eliminating the need to integrate multiple assay technologies and reporting formats from several sources.
Specifically built for immuno-/precision oncology, the NeXT Platform is used to investigate key areas of tumor biology; from elucidating mechanisms of tumor escape and detecting neoantigens, to identifying novel gene expression signatures and characterizing the immune repertoire. With these extensive capabilities, ImmunoID NeXT effectively consolidates multiple biomarker assays into one.
The unique design of the assay and analytical algorithms enables the delivery of critical tumor- and immune-related information including, but not limited to:
- T-cell receptor (TCR) alpha & beta repertoire
- Neoantigen detection and neoantigen load
- Tumor mutational burden (TMB)
- Microsatellite instability (MSI) characterization
- Human leukocyte antigens (HLA) typing, HLA and beta-2 microglobulin (B2M) somatic mutations, and HLA loss of heterozygosity (LOH)
- Tumor escape and resistance mechanisms
- Oncoviral detection
Deep Sequencing
Augmented Coverage
Specific Targeting
Ultra-High Sensitivity
Optimized Algorithms
Mastering Challenging Samples
Analytics Modules
RepertoireID enables the analysis of the TCRα and TCRβ clonotypes in patients’ tumor samples. The ultra-deep, TCR-specific RNA sequencing data derived from the NeXT assay is processed by our TCR Analytics Engine, and a report is generated providing key information and aggregate metrics pertaining to the TCR repertoire. These deliverables enable researchers to investigate the TCR repertoire’s potential as a predictive biomarker of response to immunotherapies.
ImmunoID NeXT is the first commercial platform that enables the comprehensive characterization of the immune repertoire using data derived from an augmented, exome-scale platform, designed specifically to explore multidimensional oncology biomarkers.
ImmunogenomicsID provides an overview of TME-related biomarkers and critical genes that are involved in – or highly impact – key oncology functional groups including HLA (LOH and somatic mutations) and other antigen processing machinery (APM), DNA repair and replication, immune checkpoint modulation, tumor associated antigens (TAAs), adaptive and innate immune response, cytokines and chemokines, and cytotoxicity. Utilizing an industry-leading algorithm, ImmunogenoicsID also provides a characterization of MSI within a tumor sample, highlighting the stability status of five canonical loci, as well as the proportion of all microsatellite loci that are found to be unstable.
Additionally, ImmunogenomicsID — via the specific targeting of viral genomes in both DNA and RNA — reports out on the presence (or absence) of viruses that are known to contribute to oncogenesis in a broad variety of cancer types. These oncoviruses include HPV, HBV, HCV, EBV, KSHV, MCH, and HTLV, and their associated genotypes and subtypes.
Deep and uniform coverage of both DNA and RNA is critical for both comprehensive neoantigen identification and the accurate assessment of neoantigen load. ImmunoID NeXT ensures highly-sensitive variant detection via both the depth of sequencing (~300X mean coverage) and the augmented coverage of difficult-to-sequence regions across the entire ~20,000 gene footprint. Combined, these features reduce the chances of neoantigen-producing variants (SNVs, indels, and fusions) going undetected. These variants are a rich source of putative neoantigens.
Personalis has developed a Systematic HLA Epitope Ranking Pan Algorithm (SHERPA™) using mass spectrometry-based immunopeptidomics data to improve neoantigen presentation prediction based on MHC Class I binding potential, level of gene expression, and antigen presentation features. SHERPA is integrated into the NeoantigenID analytics engine for comprehensive characterization of putative neoantigens to inform the development of personalized therapeutics.
Accurate neoantigen prediction with SHERPA enables the determination of neoantigen burden as well as the generation of the Personalis Composite Neoantigen Presentation Score (NEOPS) which has the potential to improve the predictive and/or prognostic utility of these biomarkers for precision oncology and immunotherapy applications.