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Method and system for selecting customized drug using genomic nucleotide sequence variation information and survival information of cancer patient

A base sequence and genome technology, applied in the field of customized anti-cancer treatment drug selection methods and systems, can solve problems such as not easy and new drug development, and achieve highly reliable results

Pending Publication Date: 2018-08-31
爱富体人
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is not easy to directly apply the causal genes identified in this way to therapeutic targets or new drug development. Due to the complexity and heterogeneity of cancer, the results of cancer research centered on a single biomarker are important in individualized medicine that reflects individual differences. (personalized medicine) is not easy, so it shows various limitations in clinical application

Method used

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  • Method and system for selecting customized drug using genomic nucleotide sequence variation information and survival information of cancer patient
  • Method and system for selecting customized drug using genomic nucleotide sequence variation information and survival information of cancer patient
  • Method and system for selecting customized drug using genomic nucleotide sequence variation information and survival information of cancer patient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0090] Example 1. Detection of Synthetic Cancer Survival Gene Pairs by Cancer Type and Custom Drug Selection Using Them

[0091] 1-1. Selection of target data

[0092] Data for analysis were downloaded from the Tumor Genome Atlas Data Portal on March 4, 2015. The above data include 5,618 secondary (level2) somatic mutation data and 6,838 secondary clinical data. The above-mentioned secondary somatic mutation data are stored in the form of mutation annotation format (maf). For analysis the mutation position and mutation classification were applied. Multiple mutations are divided into "missense mutation", "nonsense mutation", "frameshift indel", "in frame indel", "splice site mutation" ; no phenotypic mutation (Silent mutation)", "intron (Intron)", 'non-coding region (UTR)" and "intergenic (Intergenic)", etc. The above-mentioned secondary clinical data include a variety of clinical data based on cancer The variables, actually used in the COX regression model, have been explo...

Embodiment 2

[0112] Example 2. Distribution and Prognosis Prediction of Synthetic Cancer Survival Gene Pairs by Cancer Type

[0113] As shown in the above-mentioned Example 1, the results of synthetic cancer survival gene analysis were carried out, and 436 synthetic cancer survival gene pairs were selected in five kinds of cancers, and the results are shown in Table 1 (p1) . The screening criteria for the synthetic cancer survival gene pairs used in this example were strictly applied. Clearly, multiple combinations of conditions for detection of synthetic cancer survival gene pairs are possible, however, as shown in Example 1, there were also statistically significant differences in comparing double-lesioned and non-lesioned groups, and in comparing There was also a statistically significant difference in the two injury-only groups, in contrast to the three comparisons between the non-injury group and the two injury-only groups, where the strict criterion of no statistically significant d...

Embodiment 3

[0137] Example 3. Cancer Survival and Prognosis Prediction Using Synthetic Cancer Survival Burden by Cancer Type

[0138] The effect of the number of synthetic cancer survival gene pairs in cancer patients on the prognosis and survival rate of cancer patients was analyzed. As an example, the results of 341 patients with lung adenocarcinoma (LUAD) and 181 patients with skin melanoma are shown in Figure 6 and Figure 7 middle.

[0139] First, 341 patients with lung adenocarcinoma were divided into three groups: 149 without any synthetic cancer survival gene pairs, 122 with more than one to less than ten, and 70 with more than ten. Survival analysis using COX regression models. The result is as Figure 6 As shown, the survival rate of 70 persons confirmed to have the most synthetic cancer survival gene pairs (having more than 10) was the highest, and the survival rate of 122 persons having more than one to less than ten was found to be the median value, without any synthetic...

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Abstract

The present invention relates to a method and system for selecting a customized drug using information of cancer genomic nucleotide sequence variations and patient survival and, more specifically, toa method and system for selecting a customized anticancer therapeutic drug using variation information of a synthetic cancer survival gene among cancer genomic nucleotide sequence variations. The method and system for customized anticancer therapy of the present invention using information of cancer genomic mutations and patient survival or the evaluation of invasive or metastatic ability of cancer cells or tissues correspond to a technique to effectively select an anticancer therapeutic drug having a good therapeutic effect and prognosis according to the individual through the variation analysis of synthetic cancer survival gene pairs, which is derived from the information of cancer genomic nucleotide sequence variations and cancer survival and metastasis, and the method and system of thepresent invention have high reliability and can provide related information promptly and simply.

Description

technical field [0001] The present invention relates to a customized drug selection method and system using genomic base sequence mutation information and survival information of cancer patients, and more specifically relates to the use of synthetic cancer survival (Synthetic Cancer Survival) genes in the genomic base sequence mutation of cancer patients A method and system for selecting customized anticancer therapeutic drugs based on mutation information. Background technique [0002] Due to the advancement of biotechnology, it has reached the stage of providing a method of predicting each person's disease by analyzing the whole genome sequence of human beings and providing customized prevention and treatment of diseases. [0003] With the rapid development of genomics, the instability and cumulative deformation of the genome have been formally established as the etiology of cancer, and with the rapid development of high-speed mass analysis of the genome and the rapid deve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/22G06F19/18G06F19/28
CPCG16B30/00G16B20/20G16B20/10G16B20/00G16B50/00
Inventor 金周汉
Owner 爱富体人
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