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US 2019/0292606 A1Published application
Immune cell signatures
AssigneeNantOmics, LLC
InventorsChristopher W. SZETO, Sandeep K. REDDY
Life of this patent
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Abstract
An immune gene expression signature is associated with clinical features in tumor samples and can be used to predict the immunological state of a tumor and/or sensitivity of the tumor to immune therapy.
Claims20
A method of treating a patient having cancer, comprising:
- tailoring an immune therapy to treat the patient, and administering the tailored immune therapy to the patient,
- wherein the tailored immune therapy is generated by,
- obtaining whole transcriptomic sequencing data from a single tumor of the patient;
- identifying, from the whole transcriptomic sequencing data, presence and/or activity of immune competent cells in the tumor;
- identifying, from the whole transcriptomic sequencing data, expression level of immune checkpoint markers;
- correlating (a) the presence and/or activity of immune competent cells, with (b) the expression level of immune checkpoint markers to tailor a tumor treatment for the patient.
3 more elements
A method of priming a patient for immune therapy of a tumor, comprising:
- quantifying or obtaining expression levels for a plurality of somatic-specific single nucleotide variants (SNVs) from paired tumor and normal whole exome sequencing;
- predicting MHC1 binding affinity for neoepitope peptides resulting from said SNVs, wherein neoepitope binding to MHC1 results in silenced neoepitopes;
- identifying the patient for priming upon prediction of silenced neoepitopes;
- and
- administering the identified patient with epigenetic priming therapy prior to immune therapy.
2 more elements
A method of predicting an effective cancer therapy for a patient, comprising:
- sequencing whole genomic and transcriptomic data to obtain in silico expressed neoantigens and expressed checkpoint markers;
- predicting that a checkpoint therapy is an effective cancer therapy for the patient when the in silico sequencing data comprises (a) expressed neoantigens that are predicted to bind MEW, and (b) expressed checkpoint markers;
- predicting that a combination of a DNA hypomethylating agent and checkpoint therapy is an effective cancer therapy for the patient when the in silico sequencing data comprises neoantigens that are predicted to bind MEW, but binding is suppressed by methylation;
- and
- predicting that a combination of a HDAC inhibitor and checkpoint therapy is an effective cancer therapy for the patient when the in silico sequencing data comprises neoantigens that are predicted to bind MHC, but binding is suppressed by heterochromatin remodeling.
2 more elements
Dependencies are inferred from the claim text.