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Evaluation gene group for prognosis prediction of gastric cancer and corresponding kit

A kit and gene technology, applied in the determination/examination of microorganisms, DNA/RNA fragments, recombinant DNA technology, etc., can solve the problems of difficult application, no significant relationship, lack of evidence of gene biology mechanism, etc. Mutation frequency limitations, reducing robustness limitations, evaluating effects with high accuracy

Active Publication Date: 2019-07-26
SHANGHAI ORIGIMED CO LTD +1
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  • Abstract
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  • Claims
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Problems solved by technology

However, the prognosis of the RhoA mutation was analyzed through survival analysis, and the prognosis was established with the mutation of the RhoA gene alone for survival analysis, and it was found that there was no significant relationship
Therefore, only the RhoA gene can be used to correlate the prognosis of gastric cancer, which cannot meet the needs of predicting the prognosis of gastric cancer. It is necessary to find new predictive indicators that are highly correlated with the prognosis of gastric cancer
[0004] In addition, for the relationship between genes and prognosis in gastric cancer, there are currently two main types of predictive indicators: the first type is the result of the prognosis associated with the mutation of a single gene. However, this index is limited by the frequency of mutations in the population, such as The mutation frequency of the RhoA gene is 6.3%, and the collected sample size will limit the robustness of the survival analysis results; the second category is to correlate the prognosis with the mutation status of certain gene combinations, and the molecular markers from the combination of multiple genes can reach higher mutation frequency
However, the genes usually selected are synthesized from gene sets with high mutation frequencies found in tumors, lacking reliable evidence of biological mechanisms between genes, and it is difficult to reliably apply them in clinical practice

Method used

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  • Evaluation gene group for prognosis prediction of gastric cancer and corresponding kit
  • Evaluation gene group for prognosis prediction of gastric cancer and corresponding kit
  • Evaluation gene group for prognosis prediction of gastric cancer and corresponding kit

Examples

Experimental program
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Effect test

Embodiment 1

[0045] figure 1 It is a flowchart of steps of the determination method involved in Embodiment 1 of the present invention.

[0046] This embodiment is to specifically illustrate how the evaluation gene group used for the prediction of the prognosis of gastric cancer is determined, that is, to illustrate the method for determining the evaluation gene group, and to illustrate how the obtained evaluation gene group is specifically constituted.

[0047] Such as figure 1 As shown, the determination method specifically includes the following steps:

[0048]Step S1, determine the set of candidate target genes, specifically:

[0049] All the genes included in the RhoA protein activity regulation pathway are used as an alternative target gene set, specifically, the alternative target gene set in this embodiment is the regulatory gene of the RhoA protein activity regulation pathway verified by the experimental data in the NCI database, In this embodiment, a total of 48 regulatory gene...

Embodiment 2

[0080] This example is to confirm that the evaluation gene group obtained in Example 1 can indeed be used as a clinical basis for predicting the prognosis of gastric cancer.

[0081] In this example, we collected clinical samples of 61 cases of diffuse gastric cancer and 50 cases of intestinal type gastric cancer from Chinese patients. These samples are mainly concentrated in clinical stage II to III samples. The overall survival period of the disease, death and other clinical information such as gender, age, EBV, HER2 amplification and other information were collected (see Table 2).

[0082]

[0083]

[0084]

[0085]

[0086]

[0087] Using the kit for predicting the prognosis of gastric cancer of the present invention to extract the DNA in the gastric cancer samples corresponding to these 111 gastric cancer patients, perform whole-exome sequencing on the DNA corresponding to these samples, and then process the sequencing results to obtain the prognosis of gas...

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Abstract

The invention provides an evaluation gene group for prognosis prediction of gastric cancer and a corresponding kit. The evaluation gene group is obtained by screening genes comprised in a RhoA proteinactivity regulation pathway for regulating RhoA protein activity, wherein, the evaluation gene group comprises the following genes: RHOA, ARHGAP32, ARHGAP4, ARHGAP6, ARHGAP9, ARHGEF17, ARHGEF2, ARHGEF3, BCR, CDC42, CDKN1B, DLEC1, FARP1, NET1, NGEF, OBSCN, PRPF38B, SLC6A5, TSPAN1, VAV2, and VAV3.

Description

technical field [0001] The invention belongs to the field of biology, and in particular relates to an evaluation gene group for predicting the prognosis of gastric cancer and a corresponding kit. Background technique [0002] The prognosis prediction of gastric cancer is of great significance for evaluating and guiding the setting of clinical treatment plan and the research of new therapeutic targets. [0003] In gastric cancer, through the mutation analysis of the whole exome genome, it was found that the mutation rate of RhoA gene in the gastric cancer population is high, especially in the diffuse subtype of gastric cancer, there is an enrichment of mutations. However, the prognosis of RhoA mutation was analyzed by survival analysis, and the prognosis was established with the mutation of RhoA gene alone for survival analysis, and no significant relationship was found. Therefore, only the RhoA gene can be used to correlate the prognosis of gastric cancer, which cannot meet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/118C12Q2600/156
Inventor 施巍炜沈琳高静王凯柳文进赵松辉
Owner SHANGHAI ORIGIMED CO LTD
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