A method and prediction model for detecting tumor mutational burden

A mutation load and tumor technology, applied in the field of biomedicine, can solve the problems of cumbersome operation, difficulty in conventional clinical methods, high cost of WES, etc., and achieve the effects of simplified analysis steps, high specificity, and cost saving
CN111826447BActive Publication Date: 2021-01-05求臻医学科技(浙江)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
求臻医学科技(浙江)有限公司
Publication Date
2021-01-05

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Abstract

The present invention relates to the field of biomedical technology, in particular to a method for detecting tumor mutation load and a prediction model; it includes the following steps: S1: extracting DNA from tumor tissue and blood samples to be tested; S2: constructing target regions for tumor-related genes Targeted capture sequencing library; S3: Using a high-throughput sequencing platform to obtain the original off-machine data; S4: Obtain the tumor mutation load of the sample through the detection process. The purpose of the present invention is to provide a method for detecting tumor mutation load and a prediction model, through which the detection and calculation of gene mutations can achieve the same results as the TMB detection of whole exome sequencing, so as to improve Accuracy of Tumor Mutational Burden Estimation.
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Description

technical field

[0001] The invention relates to the field of biomedical technology, in particular to a method for detecting tumor mutation load and a prediction model. Background technique

[0002] In recent years, immunotherapy has received extensive attention from the medical community, and it has achieved remarkable clinical efficacy in a variety of tumor treatments. Approved by the Drug Administration (FDA) and recommended by the National Comprehensive Cancer Network (NCCN) guidelines, it has become the first-line treatment option for advanced non-small cell lung cancer (NSCLC). Tumor immunotherapy mainly achieves the efficacy of identifying, controlling and eliminating tumors by activating the human immune system, and the most studied ones are monoclonal antibody immune checkpoint inhibitors such as cytotoxic T lymphocyte-associated protein 4 (CTLA-4 ) monoclonal antibody, programmed death inhibitor protein and its ligand (PD-1 / PD-L1) monoclonal antibody, so far, seven...

Claims

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