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Gene panel for predicting new antigen load and detecting genome mutation

A genome and gene technology, applied in DNA mutation detection technology, bioinformatics, and biotechnology fields, can solve the problem of inability to meet the needs of multi-target high-throughput detection, lack of rapid, efficient and accurate prediction methods for neoantigen load, etc. question

Pending Publication Date: 2019-12-20
深圳市新合生物医疗科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, so far, in the field of cancer immunotherapy, there is still a lack of fast, efficient, and accurate prediction methods for neoantigen load, and traditional genetic testing methods for a small number of gene mutations can no longer meet the needs of multi-target high-throughput detection

Method used

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  • Gene panel for predicting new antigen load and detecting genome mutation
  • Gene panel for predicting new antigen load and detecting genome mutation
  • Gene panel for predicting new antigen load and detecting genome mutation

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Experimental program
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Embodiment

[0026] 1. Library preparation for next-generation sequencing

[0027] (1) Genomic DNA was extracted from samples (such as cancer tissue, blood or other types of cancer biopsies) using Qiagen DNeasy kit or QIAamp cell-free nucleic acid extraction kit (Qiagen);

[0028] (2) Use Qubit 3.0 Fluorescence Quantitative Instrument (Thermofisher) and Tapestation System (Agilent) to check the quantity and quality of extracted genomic DNA;

[0029] (3) Input 10-100ng of genomic DNA and use the NeoCura NGS library preparation kit for NGS library preparation;

[0030] (4) Use Qubit 3.0 Fluorometer and Tapestation system to check the quantity and quality of NGS library (see figure 2 ).

[0031] 2. Use the gene panel to capture the target DNA

[0032] (1) Use 100-500ng library for target capture;

[0033] (2) Hybridize with the gene panel probe at 65°C for 4-16 hours;

[0034] (3) Using Dynabeads TM M-270 streptavidin magnetic beads separate and purify the captured target DNA;

[003...

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Abstract

The invention relates to the fields of biotechnology, DNA mutation detection technology and bioinformatics, in particular to a gene panel for predicting a new antigen load and detecting genome mutation. Specifically, the invention relates to the gene panel which combines 839 genes and integrates 511 gene fusion events. The gene panel provided by the invention can rapidly, efficiently and accurately predict a new antigen load, and can also detect DNA mutation of multiple sites at one time, so that an optimal individualized treatment drug and scheme can be selected according to genomic characteristics of a patient in a cancer immunotherapy process. In addition, the gene panel provided by the invention can also be used for measuring various types of biomarkers such as SNV, Indel, CNV, gene fusion, MSI, TMB and HLA.

Description

technical field [0001] The invention relates to the fields of biotechnology, DNA mutation detection technology and bioinformatics, in particular to a gene panel for predicting neoantigen load and detecting genome mutation. Specifically, the present invention relates to a gene panel combining 839 genes, combined with 511 gene fusion events, for predicting neoantigen load and detecting genomic mutations in cancer samples. The present invention quantifies neoantigen burden based on DNA mutation detection to predict individual patient response to specific anticancer immunotherapy, and also to determine cancer stage and select anticancer drugs tailored to genomic mutations for cancer patients. Background technique [0002] Cancer is one of the main causes of human death. Statistics show that the number of new cancer cases and deaths worldwide is on the rise. Nearly half of the new cases are in Asia, most of which are in China. Traditional cancer treatment methods mainly include ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/106C12Q2600/156
Inventor 金泰庆万季潘晓新王志强蔡雪儿王一杏余涛关建洪宋麒
Owner 深圳市新合生物医疗科技有限公司
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