Polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method

A glioblastoma, gene expression profiling technology, applied in the field of biotechnology and medicine, to achieve the effect of precise survival status

Active Publication Date: 2018-11-02
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitat

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method
  • Polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method
  • Polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The implementation of the present invention will be described in detail below with examples, so as to fully understand and implement the implementation process of how the present invention uses technical means to solve technical problems and achieve technical effects.

[0064] The invention discloses a method for evaluating the individualized prognosis of glioblastoma based on a polygene expression profile, comprising the following steps:

[0065] Step 1. Obtain the list of glioblastoma prognostic risk genes and the gene weights, and specifically follow the steps below:

[0066] Step 1.1, download the tumor tissue and paracancerous tissue transcriptome data and clinical data of glioblastoma patients from the Genomic Data Commons Data Portal database, and obtain the tumor tissue gene expression profile FPKM of glioblastoma patients ( F fragments P er K ilobase of transcript per M million fragments mapped) values, logarithmic transformation (log2).

[0067] Step 1.2, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method. The method comprises the steps of obtaining a prognosis risk gene listand a gene weight of a glioblastoma; building a prognosis evaluation model by utilizing a tumor tissue transcriptome and survival data of a glioblastoma patient; calculating a risk score of the patient based on a gene expression spectrum of tumor tissues of the glioblastoma patient; and calculating the annual survival probability of the patient based on the risk score of the patient. A fact thatannual survival probability of the glioblastoma patient obtained by the method is highly consistent with the actual annual survival rate (the linear correlation R2=0.963, and P value=1.38 E-13) provesthat the method has very high prediction accuracy and is highly consistent with the actual survival state. At the same time, for each tumor patient, the polygenic expression characteristic spectrum based glioblastoma individual prognosis evaluation method can work out the special survival probability curve of the patient.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a personalized prognosis evaluation method for glioblastoma based on a polygene expression profile. Background technique [0002] Glioblastoma is the most common and most aggressive form of brain cancer. Symptoms are not obvious at first, and patients may have headaches, personality changes, nausea, and stroke-like symptoms. Symptoms during exacerbations come on very quickly and may leave the patient unconscious. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from brain and nervous system cancers worldwide reached 780,000, of which 260,000 were in China. In 2016, the number of deaths from brain cancer patients worldwide was 230,000, accounting for 0.42% of the total deaths. In 2016, the number of patients who died in China was 59,000, accounting for 0.61% of the total number of deaths. The statistical results show ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/20G16H50/70
CPCG16H50/70
Inventor 赵旭东李文兴李功华黄京飞代绍兴
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap