US2023293651A1PendingUtilityA1

Iterative Discovery Of Neoepitopes And Adaptive Immunotherapy And Methods Therefor

Assignee: NANTOMICS LLCPriority: Oct 12, 2015Filed: May 22, 2023Published: Sep 21, 2023
Est. expiryOct 12, 2035(~9.2 yrs left)· nominal 20-yr term from priority
G01N 33/5758A61K 40/4201A61K 40/31A61K 40/24A61K 40/19A61K 40/15A61K 40/11G01N 2800/52G16B 20/00A61P 35/00G16H 70/60G16H 20/40G16B 30/10G16B 20/20G01N 33/6878G16H 10/40G01N 33/56977Y02A90/10G16H 20/00G01N 2570/00G16H 70/40G16H 50/20G01N 33/6893A61K 39/0011G01N 33/57484
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Claims

Abstract

Contemplated cancer treatments comprise recursive analysis of patient-, cancer-, and location-specific neoepitopes from various biopsy sites of a patient after treatment or between successive rounds of immunotherapy and/or chemotherapy to inform further immunotherapy. Recursive analysis preferably includes various neoepitope attributes to so identify treatment relevant neoepitopes.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-assisted method of making an immunotherapeutic composition, the method comprising:
 obtaining and storing, from a patient, in a computer-readable memory, digital omics data from a tumor tissue and a matched normal tissue, wherein the digital omics data comprise whole genome data, whole transcriptome data and/or whole proteome data;   comparing, via at least one processor, the digital omics data of the tumor tissue with the omics data of the normal tissue to identify neoepitopes and RNA sequences having a cancer- and patient-specific mutation;   determining, via the at least one processor, the level of expression for identified RNA sequences; and   generating an immunotherapeutic composition prepared for administration, the composition comprising the expressed RNA sequences and/or the neoepitopes having the cancer- and patient-specific mutation.   
     
     
         2 . The method of  claim 1  wherein the omics data have a BAMBAM format, a SAMBAM format, a FASTQ format, or a FASTA format. 
     
     
         3 . The method of  claim 1  wherein the neoepitopes in the comparing step are determined in silico by a process that performs a location-guided synchronous alignment of omics data for the tumor cells and matched normal omics data. 
     
     
         4 . The method of  claim 1 , wherein the RNA comprises mRNA, hnRNA, polyA +  RNA, non-polyadenylated RNA, siRNA, and/or miRNA. 
     
     
         5 . The method of  claim 4 , wherein the RNA is a specific modRNA translation (SMRT) miRNA that specifically targets the neoepitope. 
     
     
         6 . The method of  claim 1 , wherein the immunotherapeutic composition comprises a recombinant adenoviral vaccine engineered to express the RNA sequences and/or the neoepitopes having the cancer- and patient-specific mutation. 
     
     
         7 . The method of  claim 1 , further comprising determining omics data from a second location of the patient. 
     
     
         8 . The method of  claim 7 , wherein the second location is selected from the group consisting of a locoregional metastasis, a distant metastasis, a lymph node, and a circulatory system. 
     
     
         9 . The method of  claim 1 , further comprising determining a HLA type of the patient. 
     
     
         10 . The method of  claim 1  wherein the HLA type of the patient is determined from the matched normal omics data. 
     
     
         11 . The method of  claim 1  wherein the binding affinity of the high-affinity neoepitopes to the determined HLA type of the patient is less than 500 nM. 
     
     
         12 . The method of  claim 1  wherein the patient was previously treated with an initial immunotherapeutic composition that is different from the immunotherapeutic composition. 
     
     
         13 . The method of  claim 1  wherein the patient was previously treated with chemotherapy. 
     
     
         14 . A method of treating a tumor with an immunotherapeutic composition, the method comprising:
 preparing the immunotherapeutic composition by the steps of:
 obtaining and storing, from a patient, in a computer-readable memory, digital omics data from a tumor tissue and a matched normal tissue, wherein the digital omics data comprise whole genome data, whole transcriptome data and/or whole proteome data; 
 comparing, via at least one processor, the digital omics data of the tumor tissue with the omics data of the normal tissue to identify neoepitopes and RNA sequences having a cancer- and patient-specific mutation; 
 determining, via at least one processor, the level of expression for identified RNA sequences; and 
 generating an immunotherapeutic composition comprising the expressed RNA and/or neoepitopes having the cancer- and patient-specific mutation; 
   treating the tumor by administering to a patient in need thereof the immunotherapeutic composition.   
     
     
         15 . The method of  claim 14  further comprising a step of administering a new round of immunotherapy or chemotherapy subsequent to the step of administering the immunotherapeutic composition to the patient. 
     
     
         16 . The method of  claim 14  wherein the new round of immunotherapy or chemotherapy is informed by identification of treatment relevant neoepitopes. 
     
     
         17 . The method of  claim 14  further comprising a step of administering chemotherapy using a low-dose regime. 
     
     
         18 . The method of  claim 14 , wherein the RNA comprises mRNA, hnRNA, polyA +  RNA, non-polyadenylated RNA, siRNA, and/or miRNA. 
     
     
         19 . The method of  claim 14 , wherein the RNA is a specific modRNA translation (SMRT) RNA. 
     
     
         20 . The method of  claim 14 , wherein the immunotherapeutic composition comprises a recombinant adenoviral vaccine engineered to express the RNA sequences and/or the neoepitopes having the cancer- and patient-specific mutation.

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