Detecting tumor mutation burden with RNA substrate

a technology of rna substrate and tumor mutation, applied in the field of detecting tumor mutation burden with rna substrate, can solve the problems of low genome or exome sequencing data, low cost, time-consuming,

Pending Publication Date: 2021-12-23
GENECENTRIC THERAPEUTICS INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patents describes methods for identifying specific types of cells called metastases within certain tissues found in patients who were previously diagnosed as being affected by various diseased states like necrocytocranial melanomas, brain basement membrane histopathies, gastrointestinal tract cancers, choriangiomas, colorectomy related conditions such as acute myeloid leukemia, chronic obstructive pulmonary disease, inflammative bowel syndrome, pancreatitis, bile duct obstruction caused by benign gland hyperplasia, etc., autoimmunity disorders, infectious virus attacks against organs involved in these pathologies, and other causes. These techniques help identify those individuals which may benefit treatment options based on their risk factors before they receive treatments.

Problems solved by technology

The technical problem addressed by this patented method relates to finding new ways to identify specific genetic changes associated with certain forms of cancer through analysis of their overall sequence content rather than just its single base change. This would allow researchers to better determine how well they treat patients who have developed these altered versions of them without causing any harm themselves.

Method used

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  • Detecting tumor mutation burden with RNA substrate
  • Detecting tumor mutation burden with RNA substrate
  • Detecting tumor mutation burden with RNA substrate

Examples

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example 1

Development and Validation of Method for Calculating TMB Using RNA-Seq Data

Objective

[0115]This example describes the generation of a method for determining tumor mutational burden (TMB) value and rate from RNA sequencing data (e.g., paired-end RNA-seq data). The method employed an algorithm developed herein that was used to analyze the RNA sequencing data obtained from transcriptome profiling studies on tumor samples in order to determine the TMB of said samples. Given that TMB has been shown to predict response to immunotherapy treatments including PD-1 and PD-Ll inhibitors, results of this type of RNA-seq TMB analyses may also be useful for informing immunotherapeutic response. Further, the RNA-seq TMB analyses provided in this example may represent a cost-effective alternative to gold standard DNA based TMB rate determination that can be performed on tumor samples alone rather than using both tumor samples and matched normal samples, which is often done when calculating TMB using DN

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Abstract

Methods and compositions are provided for determining TMB in a tumor sample using transcriptome profiling data. Also provided herein are methods and compositions for determining the response of an individual with a specific TMB to a therapy such as immunotherapy.

Description

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Claims

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Application Information

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Owner GENECENTRIC THERAPEUTICS INC
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