Methods for context based compression of genomic data for immuno-oncology biomarkers

    公开(公告)号:US12040048B2

    公开(公告)日:2024-07-16

    申请号:US18170797

    申请日:2023-02-17

    CPC classification number: G16B20/20 G06F16/24575 G06F16/248 G06N3/126

    Abstract: The method includes compressing numbers of reads data for targeted genes of a gene expression assay performed on a test sample. The targeted genes are organized into categories. Each category represents a functional context associated with the targeted genes in that category. The numbers of reads corresponding to targeted genes each category is compressed to form a compressed value for the category. The compressed value is compared to a baseline value for the category to determine an enrichment or a loss of a signature corresponding to the functional context of the category. The method may include analyzing information from multiple assays performed on the test sample, assigning a score value to each assay result and predicting a response to immune-oncology treatment based on the assigned scores.

    IMMUNE REPERTOIRE BIOMARKERS IN AUTOIMMUNE DISEASE AND IMMUNODEFICIENCY DISORDERS

    公开(公告)号:US20230055712A1

    公开(公告)日:2023-02-23

    申请号:US17871235

    申请日:2022-07-22

    Inventor: Timothy Looney

    Abstract: The present disclosure provides methods for predicting clinical response to therapy of a subject with an autoimmune disease or disorder and/or methods for predicting prognosis of a subject with immunodeficiency (e.g., leukemia) based on characterizing the B cell immune repertoire of the subject. In one aspect, methods provide for determining frequency of class switch recombination and/or somatic hypermutation of B cell receptor repertoires in samples prior to a treatment and predicting a subject's prognosis and/or response to treatment based on the measured class switching and/or somatic hypermutation frequency. In another aspect, methods provide for determination of immune receptor class switching and/or somatic hypermutation frequency and treating a subject based on the resulting prediction of prognosis and/or response to treatment based on the measured class switching and/or somatic hypermutation frequency.

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