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Systematic pharmacology method of personalized medication

A pharmacology and drug use technology, applied in the field of system pharmacology of personalized medicine, can solve the problem of not being able to fully mine key genes, and achieve the effect of wide application range, broad application prospect and high efficiency

Active Publication Date: 2017-06-09
HUAZHONG AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But as far as we know, in the process of cancer pathogenesis, the genes (driver genes) that really play a decisive role may not be those genes with obvious differences in expression, so the method of directly using differentially expressed genes as important genes in the process of cancer pathogenesis cannot fully Mining the key genes in the pathogenesis of this cancer patient (see: Wagenblast E, Soto M, Gutiérrez- S, et al.A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis[J].Nature,2015,520(7547):358-362.)

Method used

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  • Systematic pharmacology method of personalized medication

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] Using the method of the present invention to carry out personalized medicine and effect verification for ovarian cancer patients

[0077] 1. Obtain gene expression data of ovarian cancer patient samples, control samples and clinical data of patients

[0078] The gene expression data of ovarian cancer patient samples (level 3 data of Agilent G4502A chip), the clinical data of these patients (death time, death status) and the gene expression data of control samples were obtained. Delete the samples with missing clinical data or missing medication information (or the number of drug targets is small, which is not suitable for statistical analysis. In the present invention, no less than 10 targets are used as screening criteria), and a total of 584 cancer patients’ gene expression data are obtained. and prognostic follow-up data. The data of these 584 patients are used for the construction of the gene-dependent network in the second step. Among these 584 patients, 529 ca...

Embodiment 2

[0097] Using the method of the present invention to perform individualized medication and effect verification on patients with glioblastoma multiforme

[0098] 1. Obtain gene expression data of glioblastoma multiform patient samples, control samples and clinical data of patients

[0099] The method of obtaining patient data of glioblastoma multiforme from TCGA is the same as Step 1 of Example 1, and the gene expression data of 577 cancer patients and 10 normal tissue samples, the prognosis tracking information and medication information of these patients were obtained . The gene expression data of the 574 patients with glioblastoma multiforme can be used for the construction of the gene-dependent network in the second step. Among the 574 patients, a total of 136 patients contained medication information that met the criteria, and these patients could be used for the verification of the patient's personalized medication.

[0100] 2. Calculating the key gene list in the pati...

Embodiment 3

[0110] Using the method of the present invention to carry out personalized drug verification for breast cancer patients

[0111] 1. Obtain gene expression data of multiple breast cancer patient samples, control samples and clinical data of patients

[0112] The method for obtaining breast cancer patient data from TCGA is the same as Step 1 in Example 1, except that the gene expression data of breast cancer in this example is RNA-Seq data. A total of 1109 cancer patients and 113 normal tissue samples had gene expression data, and the prognosis tracking information and medication information of these patients were obtained. The gene expression data of these 1109 patients can be used for the construction of the gene-dependent network in the second step. Among these 1109 patients, a total of 647 patients contain medication information that meets the criteria, and these patients can be used for the verification of the patient's personalized medication.

[0113] 2. Calculating t...

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PUM

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Abstract

The invention discloses a systematic pharmacology method of personalized medication. Genes are utilized to describe relations of genes in a disease attack process by relying on the network, genetic expression data of a specific patient is combined, a gene ranking algorithm capable of using a regulation and control relation among the genes is adopted to excavate key genes in the disease attack process of the specific patient to construct a key gene list, and thus personalized medication is conducted based on whether a drug target significantly targets the key genes in the disease attack process of the specific patient or not. The systematic pharmacology method of personalized medication is easy to achieve, low in cost, high in efficiency, and has a wide application prospect range in precision medicine and drug discovery.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a systematic pharmacology method for individualized medicine based on gene-dependent network using patient's gene expression data and drug target gene data. Background technique [0002] Personalized medicine refers to the selection of appropriate medicines for specific patients or groups of patients. Personalized medicine is the core goal and important topic of Precision Medicine (see: Collins F S, Varmus H.A new initiative on precision medicine [J]. N Engl J Med, 2015, 372(9): 793-795.; Dittmer J, Leyh B. The impact of tumor stroma on drug response in breast cancer [J]. Seminars In Cancer Biology, 2015, 31:3-15.). The current method mainly starts from large samples of biological data to mine the mutated genes, so as to select drugs targeting the genotype variation according to the patient's genotype. However, this type of method has no clinical value because the penetranc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06F19/18C12Q1/68G16B5/00G16B20/20G16B25/10
CPCG16C20/50G16B20/00C12Q1/6883C12Q2600/136G16B20/20G16B25/10G16B5/00G16H20/10G16H50/30G16H10/60G16B25/00G06F16/22
Inventor 张红雨周雄辉全源崔泽嘉杨庆勇
Owner HUAZHONG AGRI UNIV
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