Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Drug sensitivity prediction method for cancer precision treatment

A drug-sensitivity and precision medicine technology, applied in the field of molecular biology, can solve the problems of ignoring the mutual regulatory relationship between genes and unsatisfactory accuracy, and achieve the effect of reducing operating costs

Inactive Publication Date: 2018-01-19
TONGJI UNIV
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction accuracy of such models is still unsatisfactory. These methods have an obvious defect: they are all based on the strong assumption that the characteristics are independent of each other, ignoring the mutual regulatory relationship between genes

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
  • Drug sensitivity prediction method for cancer precision treatment
  • Drug sensitivity prediction method for cancer precision treatment
  • Drug sensitivity prediction method for cancer precision treatment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] (1) Data collection and preprocessing. Collect and download drug response (IC50, GC50, AUC) and cell line genome (global gene expression, cancer gene mutation and copy number variation) data from high-throughput drug response databases CCLE, CGP, CTRP, BRCA, etc. or experimentally cultured tumor cells The system was sequenced, and drug sensitivity data were generated by experimentally adding different concentrations of drugs. The genomic data of the same data set were first standardized to remove batch effects.

[0019] Preliminary analysis of the data, including whether there is a significant difference in the effect of the drug on different types of cell lines, whether there is a stronger or weaker response to a specific tumor type, whether the drug response indicators are consistent, etc.

[0020] (2) Integrate genomic data to build a drug sensitivity prediction model.

[0021] In the first step, in the above-mentioned large-scale database, the gene expression data...

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 drug sensitivity prediction method for cancer precision treatment. Anti-cancer drug sensitivity prediction is performed by comprehensively utilizing genomics data of cell lines, so that theoretical medication guidance is provided for individual treatment. A calculation model is built for predicting drug sensitivity to individuals, thereby guiding clinical medication, which is one of core goals of precision treatment. According to the method, interaction terms among genes are added by utilizing a protein interaction network; a mutual relationship among the cell lines is described by utilizing the similarity of gene expression profiles of the cell lines; a local weighted linear model is built without depending on an independence assumption among genomic characteristics; and compared with a conventional linear model, a better prediction effect is achieved, the problem of high-latitude input caused by large-scale data characteristics is solved, and the operation cost of the model is reduced. The method can be widely applied to the drug sensitivity prediction of new cell lines, and provides the theoretical guidance for guiding the clinical medication.

Description

technical field [0001] The invention belongs to the field of molecular biology, and in particular relates to anticancer drug sensitivity prediction and cancer individualized medical research. Background technique [0002] Precision medicine refers to the design of precise medical diagnosis and treatment strategies that match the patient based on the patient's molecular biopathological characteristics, such as the genome, proteome, or metabolome, and other relevant internal environmental information. Compared with traditional diagnosis and treatment methods based on patients' clinical symptoms and individual characteristics, precision medicine can usually achieve better therapeutic effects and reduce side effects. It is one of the core goals of precision medicine to establish computational models to predict the sensitivity of drugs to individuals, and then to guide clinical medication. Taking the treatment of cancer as an example, there are more than one thousand anticancer ...

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): G06F19/00G06F19/12
Inventor 张乃千殷俊锋
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com