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Glioblastoma differential diagnosis and glioma survival prognosis typing method

A technology for glioblastoma and glioma, which is applied in the field of differential diagnosis of glioblastoma and classification of glioma survival prognosis, which can solve the problem of lack of research on glioma.

Active Publication Date: 2020-03-17
XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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AI Technical Summary

Problems solved by technology

The integrated meta-analysis method of expression data has been applied in breast cancer [9] , prostate cancer [10] , liver cancer [11] and lung cancer research, but there are few studies on glioma

Method used

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  • Glioblastoma differential diagnosis and glioma survival prognosis typing method
  • Glioblastoma differential diagnosis and glioma survival prognosis typing method
  • Glioblastoma differential diagnosis and glioma survival prognosis typing method

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0036] Example 1: Bioinformatics screening of glioblastoma-specific molecular markers

[0037] 1. Purpose: By screening the glioma gene chips in the public database, analyzing different pathological types of glioma at the molecular level, screening out glioblastoma-specific genes, and analyzing their role in the prognosis of glioma. role in.

[0038] 2. Materials and methods

[0039] 2.1 GEO chip data retrieval and processing

[0040] 2.1.1 GEO chip data retrieval

[0041] In the GEO database website (http: / / www.ncbi.nlm.nih.gov / geo / ), the experimental research with the keyword "glioma" and the research category "expression profiling by array" was screened, and the deadline was December 2016 March 31. The chip inclusion criteria are: the species is human; controlled studies; no radiotherapy or chemotherapy; raw data or standardized data are available; samples must include glioblastoma, and additionally contain at least one of the following: non-glioma Brain tissue, astroc...

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Abstract

The invention provides a detection method for survival prognosis of glioblastoma. The method is characterized in that the method comprises the following steps: the expression levels of specific expression genes CBX3, BARD1, EGFR, IFRD1, CTSS, STAT1, GUCY1A3 and MOBP in a glioblastoma tissue are detected, survival prognosis of a glioblastoma patient is predicted according to the expression level ofthe detected gene, and the survival time of the glioblastoma patient highly expressing CBX3, BARD1, EGFR, IFRD1, CTSS or / and STAT1 is short; the glioma patient with high expression of GUCY 1A3 or / andMOBP has a long survival time. The invention also provides a prognostic typing method for glioblastoma. The glioblastoma with high expression of CBX3, BARD1, EGFR, IFRD1, CTSS or / and STAT1 in glioblastoma tissues is / are short in prognostic survival time; and the high expression of the GUCY 1A3 or / and MOBP in the cytoma tissue is prognosis, and the survival time is long.

Description

technical field [0001] The invention belongs to the technical field of biology and medicine, and relates to a classification method for tumor diagnosis and survival prognosis, in particular to a differential diagnosis of glioblastoma and a classification method for survival prognosis of glioblastoma. Background technique [0002] Glioma is a tumor originating from glial cells. The World Health Organization divides it into astrocytoma, oligodendroglioma, and original astrocytoma based on histopathological features in the 2016 edition. no longer exists alone in the standard [1] . Glioblastoma, grade IV astrocytoma, accounts for approximately 47.1% of all malignant central nervous system tumors [2] , is the tumor with the highest mortality rate among primary malignant brain tumors. At present, the treatment of glioma is mainly surgical resection, supplemented by radiotherapy, chemotherapy, etc., but the prognosis is still poor, and the median survival time is only 12-15 month...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/158C12Q2600/112
Inventor 韩萍王思琪范文亮刘丽莹刘芳
Owner XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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