Tumor typing and potential target prediction method based on individualized metabolism model

A metabolic model and target prediction technology, which is applied in the field of tumor classification and potential target prediction based on individualized metabolic models, to achieve the effects of improving drug effectiveness response, easy promotion, and significant differences in survival curves

Pending Publication Date: 2021-09-07
王卓
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, neither is a method for classifying cancer based on metabolic hierarchy features

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
  • Tumor typing and potential target prediction method based on individualized metabolism model
  • Tumor typing and potential target prediction method based on individualized metabolism model
  • Tumor typing and potential target prediction method based on individualized metabolism model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0033] see figure 1 with figure 2 , the method for tumor typing and potential target prediction based on an individualized metabolic model of the present invention comprises the following steps:

[0034] Step 1: Construct an individualized metabolic network model for tumor patients;

[0035] Step 2: Precise molecular typing based on the metabolic characteristics of the individualized metabolic network model of the tumor patient described in Step 1;

[0036] Step 3: Based on the tumor patient's individualized metabolic network model described in step 1, genes that have an important impact on tumor cell growth are predicted as potential targets.

[0037] 1. Constructing an individualized metabolic network model for cancer patients

[0038] The original metabolic network model used for the construction of individualized metabolic network need...

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 tumor typing and potential target prediction method based on an individualized metabolism model. The tumor typing and potential target prediction method comprises the following steps: step 1, constructing a tumor patient individualized metabolism network model; step 2, performing accurate molecular typing based on the metabolic characteristics of the individualized metabolic network model of the tumor patient in the step 1; and 3, predicting a gene which has important influence on the growth of tumor cells as a potential target based on the individualized metabolic network model of the tumor patient in the step 1. The method has the following advantages: 1, the survival curve difference corresponding to the molecular typing scheme established by the invention is more obvious; 2, the prognostic marker found based on the metabolic level can be detected through body fluid or blood, and is more convenient and easy to popularize. and 3, the predicted potential target is obtained based on quantitative simulation of tumor cell growth, patients of different types have personalized targets, and the drug effectiveness response can be improved.

Description

technical field [0001] The invention relates to the field of cancer subtype typing, in particular to a method for tumor typing and potential target prediction based on an individualized metabolic model. It is based on the characteristics of metabolic flux changes predicted by the individualized metabolic network model to distinguish different tumor patients, perform precise molecular typing, and find genes that have an important impact on tumor cell growth as candidate targets through computational simulation. Background technique [0002] The key to precision medicine for tumors is personalization, and individualized diagnosis and treatment measures require accurate molecular typing, accurate prognostic markers, and therapeutic targets. Due to the characteristics of high heterogeneity, poor prognosis, high mortality, and difficulty in early diagnosis of malignant tumors, effective methods for classification and targeted diagnosis and treatment are still lacking. [0003] W...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16B15/30G16H50/20G16H50/70
CPCG16H50/50G16B15/30G16H50/20G16H50/70
Inventor 王卓师咏勇孙仁梁戴阳
Owner 王卓
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