System for predicting post-surgery prognosis or anticancer drug compatibility of advanced gastric cancer patients

An anti-cancer drug and suitability technology, applied in the system field of prognosis or anti-cancer drug suitability, can solve the problem that there is no method for predicting the prognosis of anti-cancer treatment, etc.

Pending Publication Date: 2019-08-23
NOVOMICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Traditionally, gastric cancer is classified according to anatomical and pathological phenotypes, and when gastric cancer is determined to be stage II or higher according to the TNM classification, it is treated with anticancer therapy, but currently there is no prediction of anticancer therapy except for TNM staging method of prognosis

Method used

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  • System for predicting post-surgery prognosis or anticancer drug compatibility of advanced gastric cancer patients
  • System for predicting post-surgery prognosis or anticancer drug compatibility of advanced gastric cancer patients
  • System for predicting post-surgery prognosis or anticancer drug compatibility of advanced gastric cancer patients

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Experimental program
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Effect test

Embodiment approach

[0068] The term "reference gene" as used herein refers to a gene that is always stably expressed. That is, as a gene regularly expressed in any tissue, the reference gene is used to compare the expression level of the marker gene to check the expression level of the marker gene. That is, even when gene expression levels are measured, it is difficult to determine that the measured value is biological variation due to quality differences between samples and variations depending on storage facilities. Therefore, the amount of gene expression (ΔCq) between samples was determined by normalization. As conventional normalization methods, a method using quantiles, a global normalization method, and a method using a reference gene can be used, but in the present invention, a normalization method using a reference gene is used. In addition, the method using a single gene as a reference gene may reduce the precision, so multiple genes can be selected and the degree of variation can be s...

Embodiment 1

[0136] Development of an algorithm for predicting the prognosis of advanced gastric cancer or the probability of suitability of anticancer drugs

[0137] A 3 mm hole containing more than 50% of the tumor was fabricated on the paraffin-embedded tissue of advanced gastric cancer, and RNA was extracted from the punched tissue according to the protocol. Obtain at least 400 ng of total RNA. The required Q.C element is A260 / A280 greater than or equal to 1.8.

[0138]For RT-qPCR experiments, using the nProfiler I kit, total RNA (400 ng / 18 μl) from the patient was used, and the gene-specific primer (GSP) mix (3 μl) was dispersed in the sample. The temperature of a 2720 thermal cycler (Applied Biosystems) was raised to 50°C, and the samples were placed in the cycler. RNA samples were denatured at 65°C for 5 min, then the thermocycler was stopped. For RT, add 6 μl RT buffer and 2 μl RT mix, perform DNA synthesis at 37 °C for 60 min, and keep DNA at 70 °C for 15 min. For qPCR, cDNA ...

Embodiment 2

[0185] Verification of an algorithm for predicting the prognosis of advanced gastric cancer and the probability of suitability of anticancer drugs

[0186] According to the prediction algorithm obtained in Example 1, the significance of prognosis and suitability of anticancer drugs was verified using Kaplan-Meir curve and COX univariate / multivariate analysis (n=307, three samples failed QC).

[0187] Such as Figure 8 As shown by the Kaplan-Meir curve of , it can be seen that there are prognostic differences among the three prognostic groups (prognostic groups I, II and III). The 5-year overall survival rates of the three groups were 83.3%, 71.8% and 58.2%, respectively, indicating that the prognosis group I had the best prognosis among the three groups, and the prognosis group III had the worst prognosis among them.

[0188] [Table 4]

[0189]

[0190] As shown in Table 4, in the COX univariate / multivariate analysis performed on the prognostic groups of the present inve...

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Abstract

The present invention relates to a system for predicting a post-surgery prognosis or anticancer drug compatibility of advanced gastric cancer patients. An algorithm capable of predicting the prognosisand anticancer drug compatibility of advanced gastric cancer by using quantitative test results of the mRNA expression levels of a marker gene cluster and a reference gene cluster for the prognosis or anticancer drug compatibility thereof is developed so as to be usable as supplementary information for determining a treatment method for gastric cancer patients.

Description

technical field [0001] The present invention relates to a system for predicting the prognosis of advanced gastric cancer patients or the suitability of anticancer drugs by using the quantitative analysis value of the mRNA expression of the marker gene group and the reference gene group related to the prognosis of advanced gastric cancer patients or the suitability of anticancer drugs. Background technique [0002] Globally, gastric cancer is the third most lethal cancer among all types of cancer, and especially in South Korea, gastric cancer is the most common cancer after thyroid cancer, which is known to have a relatively good prognosis. In South Korea, the survival rate of gastric cancer patients has been significantly improved due to early detection through national physical examination, standardization of surgery, and development of anticancer drugs, however, at least half of stage II and III advanced Gastric cancer patients still relapse. [0003] Cancer has been reco...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/68C12Q1/6886C12Q2600/158C12Q2600/118C12Q2600/106C12Q1/6806
Inventor 郑载镐卢圣勳许镛敏金铉起
Owner NOVOMICS CO LTD
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