Gene panel for nervous system tumor detection, kit and application thereof

Abstract

The invention belongs to the technical field of nervous system tumor multi-gene detection, and discloses a gene panel for detecting nervous system tumors, important exon regions and partial intron regions of 454 genes are enriched by using a biological probe hybridization method, and the detection and analysis contents comprise somatic mutation, embryonic mutation, copy number variation, fusion gene and other variation, which aims to achieve accurate detection. The multi-gene screening list is made into a probe, high-risk genes are detected in a targeted mode through hybridization capture sequencing, gene mutation with guiding significance on diagnosis and treatment can be detected more efficiently, the gene detection cost of patients and the operation difficulty of experimenters can be reduced, meanwhile, some tumor patients can be possibly helped to participate in clinical tests, and important guiding significance is provided for clinical diagnosis and discovery of target spots of targeted therapy.

Description

technical field [0001] The invention belongs to the technical field of multigene detection of nervous system tumors, and relates to a gene panel, a kit and an application thereof based on nervous system cancer detection. Background technique [0002] Nervous system includes central nervous system and peripheral nervous system. Nervous system tumors include primary intracranial tumors and gliomas, most of which are primary intracranial tumors. Symptoms caused by intracranial tumors include local neurological symptoms caused by tumor compression or destruction of surrounding brain tissue, and symptoms of increased intracranial pressure caused by intracranial space-occupying lesions. [0003] With the development of high-throughput sequencing and the deepening of gene research, the relationship between cancer and gene variation has been continuously confirmed, which has played an important guiding role in the design of targeted drugs and new treatment methods. In order to furt...

AI Technical Summary

Problems solved by technology

[0004] At present, the diagnostic methods for nervous system tumors are mainly based on the traditional positioning and characterization of clinical symptoms and signs of patients, as well as special examination items, such as cerebrospinal fluid examination, traditional X-ray examination and CT scan, etc., and have not combined high-throughput sequencing. The detection method report

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