Invasive glioma classification device based on DNA methylation

Abstract

The invention discloses an invasive glioma classification device based on DNA methylation. The device comprises the following parts: a detection module which is used for carrying out methylation chip detection or methylation sequencing on extracted tumor sample DNA; and a classification module which is used for preprocessing the original data and then detecting the mutation states of IDH, TERTp and ATRX, the chr1p19qcodel state and the gene expression subtype of the invasive glioma through a classification system. According to the invention, different methylation probe combinations are utilized to rapidly, economically and efficiently determine the IDH, TERTp and ATRX mutation states, the chr1p19qcodel state and the gene expression subtype of the invasive glioma; and in addition, the requirement for a sample to be detected is very low, and the subtype can be accurately recognized by using a small amount of FFPE tissue.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to a non-therapeutic device for classifying infiltrating gliomas based on DNA methylation. Background technique [0002] Epigenetics plays a crucial role in cancer research, and histone variants and non-coding RNAs exhibit broad reprogramming properties through DNA methylation. DNA methylation is a stable signature that reflects inter- and intra-tumor heterogeneity and has been used to classify different types of tumors. [0003] Infiltrating gliomas, including WHO grade II-IV gliomas, are the most common and deadly primary brain tumors. Several molecular features critical for prognostic studies have been identified, including isocitrate dehydrogenase (IDH) mutation, chromosome 1p / 19q co-deletion, mutational status of TERTp and ATRX, and gene expression subtypes in invasive gliomas. type etc. [0004] However, the cost, time, and tissue requirements of the above-m...

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Problems solved by technology

[0004] However, the cost, time, and organizational requirements of the above-mentioned somatic alterations or gene expression subtypes in existing classification methods often lead to delayed or incomplete molecular studies, and are in urgent need of improvement

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