2020 SITC: Orthogonally and functionally validated algorithm for detecting HLA loss of heterozygosity T cells can inhibit tumor growth and progression by recognizing major histocompatibility complex class I (MHC-I) -bound peptides derived from antigens that are mutated, inappropriately expressed, or overexpressed in the tumor cells (vs. healthy cells). There are many mechanisms by which [...]
2020 SITC: B-cell receptor heavy chain repertoire profiling using an augmented transcriptome Comprehensively profiling the tumor and tumor microenvironment (TME) can help provide a more complete view of the complex interactions between the tumor and immune system, potentially furthering our understanding of tumor progression and response to treatment. We have developed an augmented, immuno-oncology-optimized exome/transcriptome [...]
2020 SITC: Profiling tumor circulating cell-free DNA with an enhanced whole-exome to enable sensitive assessment of somatic mutations The analysis of tumors using circulating cell-free DNA (cfDNA) is beginning to transform cancer diagnosis, prognosis, response to therapy and to enable disease progression monitoring. Most cfDNA assays are centered around the identification of therapeutically actionable [...]
2020 SITC: Precision neoantigen discovery using novel algorithms and expanded HLA-ligandome datasets Technologies for neoantigen discovery are critical for developing personalized cancer vaccines and neoantigen-based biomarkers. Precision neoantigen discovery entails comprehensive detection of tumor-specific genomic variants and accurate prediction of MHC presentation of epitopes originating from such variants. Our ImmunoID NeXT™ Platform enables a [...]
2020 AMP: An exome and transcriptome based NeXT Dx™ test enables therapy selection for cancer patients and offers insight into emerging composite biomarkers for immunotherapy The emergence of immune checkpoint inhibitors has highlighted the potential of immuno-oncology therapeutics to produce unprecedented beneficial responses in cancer patients. However, diagnostic biomarkers that consistently predict patient response [...]
2020 EACR Liquid Biopsies: Sensitive detection and monitoring of genetic alterations in circulating cfDNA with an enhanced whole-exome approach The analysis of tumors using circulating cell-free DNA (cfDNA) is beginning to transform cancer diagnosis, prognosis, response to therapy and to enable disease progression monitoring. Most cfDNA assays are centered around the identification of therapeutically [...]
2020 AACR: Precision neoantigen discovery using a pan-predictive machine learning model integrated into ImmunoID NeXT Platform® Technologies for neoantigen discovery are critical for developing personalized cancer vaccines and neoantigen-based biomarkers. Precision neoantigen discovery entails comprehensive detection of tumor-specific genomic variants and accurate prediction of MHC presentation of epitopes originating from such variants. Our ImmunoID [...]
2020 AACR: Sensitive HLA loss of heterozygosity detection reveals allele-specific neoantigen expansion as resistance Loss of heterozygosity (LOH) in the HLA locus is increasingly being recognized as an important mechanism of immune escape and a proposed biomarker for immunotherapy response. Neoantigens that bind to a deleted HLA allele will no longer be presented to [...]
