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Method for detecting tumor deletion mutation load of molecular marker

A molecular marker and deletion mutation technology, applied in the field of biomedicine, can solve the problem of low response rate of immunotherapy and achieve the effect of predicting the efficacy of immunotherapy

Active Publication Date: 2020-11-13
北京求臻医学检验实验室有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the overall response rate of immunotherapy is low, and it is imminent to find some suitable molecular markers and screen out the advantageous population of immunotherapy

Method used

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  • Method for detecting tumor deletion mutation load of molecular marker
  • Method for detecting tumor deletion mutation load of molecular marker
  • Method for detecting tumor deletion mutation load of molecular marker

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] This example discloses the use of MSI detection to prove whether TDB can be used to predict the efficacy of immunotherapy; the sample set is tissue samples from 113 patients with gastric cancer; the sequencing method is exome sequencing; the selected analysis method is using MSIsensor The bioinformatics analysis tool calculates the MSI score; calculates the number of mutation sites for insertion (insertion) and deletion (deletion) in the exon region; calculates the tumor mutation burden (TMB) in the exon region, and the calculation formula is TMB=T / S, where S is the size of the exon region calculated to meet the high-depth sequencing standard, and T is the number of somatic mutations in the region, where somatic mutations include all non-synonymous mutations in the coding region, but exclude tumor gene driver mutations .

[0039] Depend on figure 1 It can be seen that the values ​​of Insertion, deletion and InDel are consistent with MSI score; figure 2 It can be see...

Embodiment 2

[0041] This example discloses expanding cancer types and assessing whether TDB has a better predictive effect of immunotherapy than TMB. Sample set: Select 1561 sample data from the TCGA database, including 431 cases of colon cancer (COAD), 157 cases of rectal adenocarcinoma (READ), 532 cases of endometrial cancer (UCEC), and 441 cases of gastric cancer (STAD); sequencing method: Exome sequencing; analysis method: use MSIsensor bioinformatics analysis tool to calculate MSI score; calculate the number of mutation sites for insertion and deletion in the exon region; use standard bioinformatics process to calculate TMB.

[0042] Depend on Figure 5 It can be seen that the degree of deletion deletion mutation (included in the somatic variant) is significantly different in the microsatellite stable site set MSS and the microsatellite unstable site set MSI-H, and in the microsatellite unstable MSI-H In the site concentration of H, the degree of deletion mutation is higher; the non-...

Embodiment 3

[0044] This example discloses the sequencing method for target region capture, and evaluates whether TDB can be used as an indicator for predicting the effect of immunotherapy; sample set: select 180 tumor samples; sequencing method: target region capture sequencing (ChosenOne599Ⓡ); analysis method: use The MSI sensor bioinformatics analysis tool calculates the MSI score; the number of mutation sites for deletion deletion is calculated for the target capture region; conclusion: using the target region capture sequencing method, the consistency analysis results with MSI show that TDB may be a good immune Treatment efficacy predictive index; Among them, a molecular marker tumor deletion mutation load detection method and its flow chart in predicting the efficacy of immunotherapy are shown in Figure 7 .

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Abstract

The invention relates to the technical field of biomedicine, particularly to a method for detecting tumor deletion mutation load of a molecular marker. The method comprises the following steps: S1, collecting a sample of a tumor patient; S2, enriching a human genome target region by using a probe capture or amplicon technology; S3, sequencing a specific target gene region related to tumor occurrence and development in the human genome; and S4, for all capture areas, obtaining a TDB value by using a biological information algorithm through sample data quality control, low-quality data filtering, reference genome comparison, variation detection, variation filtering and variation annotation. The invention provides a brand new TDB computer algorithm, wherein the consistency of the detection results of the TDB and the microsatellite instability (MSI) gold standard is obviously higher than the consistency of the detection results of the TMB and the MSI, so that the immunotherapy curative effect can be well predicted.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a detection method of molecular marker tumor deletion mutation burden. Background technique [0002] In recent years, with the acceleration of the pace of life, the increase of life and work pressure and the increasingly serious environmental problems, the number of cancer patients is on the rise. Cancer is a disease with high morbidity and mortality. The family members have brought great physical pain and a very heavy financial burden. Especially for patients with advanced tumors, their quality of life is extremely low. In order to alleviate the suffering of such people, improve their quality of life, and effectively prolong their lives, it is particularly important to carry out individualized and standardized symptomatic treatment for them. [0003] Tumor immunotherapy is one of the most promising research directions in the field of tumor treatment. This treatment can gre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10G16B20/50C12Q1/6886C12Q1/6869
CPCC12Q1/6869C12Q1/6886C12Q2600/156G16B20/50G16B30/10C12Q2535/122
Inventor 孙大伟辛琳承康平蔡丽丽段小红梁占超王东亮
Owner 北京求臻医学检验实验室有限公司