Poster

24 Nov, 2020

2020 SITC: Orthogonally and functionally validated algorithm for detecting HLA loss of heterozygosity

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 [...]

24 Nov, 2020

2020 SITC: B-cell receptor heavy chain repertoire profiling using an augmented transcriptome

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 [...]

24 Nov, 2020

2020 SITC: Profiling tumor circulating cell-free DNA with an enhanced whole-exome to enable sensitive assessment of somatic mutations

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 [...]

24 Nov, 2020

2020 SITC: Precision neoantigen discovery using novel algorithms and expanded HLA-ligandome datasets

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 [...]

24 Nov, 2020

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

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 [...]

24 Nov, 2020

2020 EACR Liquid Biopsies: Sensitive detection and monitoring of genetic alterations in circulating cfDNA with an enhanced whole-exome approach

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 [...]

7 Jul, 2020

2020 AACR: Enhanced Whole Exome Profiling of Tumor Circulating Cell-Free DNA Enables Sensitive Assessment of Tumor Mutations

2020 AACR: Enhanced Whole Exome Profiling of Tumor Circulating Cell-Free DNA Enables Sensitive Assessment of Tumor Mutations An increasing number of studies have demonstrated the potential use of circulating cell-free DNA (cfDNA) for diagnosis, prognosis, and disease progression monitoring. However, many of these studies utilize assays covering a limited set of well known genes, [...]

7 Jul, 2020

2020 AACR: Improved Tumor-Only Somatic Variant Calling Using a Gradient Boosted Machine Learning Algorithm

2020 AACR: Improved Tumor-Only Somatic Variant Calling Using a Gradient Boosted Machine Learning Algorithm Accurate identification of somatic variants in a tumor sample is often accomplished by utilizing a paired normal tissue sample from the same patient to enable the separation of private germline mutations from somatic variants. However, a paired normal sample is [...]

7 Jul, 2020

2020 AACR: A diagnostic platform for precision cancer therapy enabling composite biomarkers by combining tumor and immune features from an enhanced exome and transcriptome

2020 AACR: A diagnostic platform for precision cancer therapy enabling composite biomarkers by combining tumor and immune features from an enhanced exome and transcriptome While the success of immune checkpoint blockade (ICB) has been hugely promising, it’s increasingly apparent that predicting response to immunotherapies requires a more comprehensive approach to tumor immunogenomic profiling. There [...]

7 Jul, 2020

2020 AACR: A Pan-Cancer Characterization of Both the Tumor and Micro Environment Highlights the Importance of an Integrated Approach for Immuno-Oncology

2020 AACR: A Pan-Cancer Characterization of Both the Tumor and Micro Environment Highlights the Importance of an Integrated Approach for Immuno-Oncology A better understanding of the characteristics of cancer across different indications is required to drive the development of personalized treatments, inform therapy decisions, and improve outcomes. Integrating data from the tumor and the [...]

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