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Method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis, and application thereof

A technology of biomarkers and screening methods, applied in the field of screening potential biomarkers of gastric cancer, can solve the problems of low accuracy of gastric cancer and complex risk factors of gastric cancer.

Active Publication Date: 2019-06-11
辽宁省肿瘤医院
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Problems solved by technology

In addition, the risk factors for gastric cancer are complex, and the accuracy of single-factor diagnosis of gastric cancer is low

Method used

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  • Method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis, and application thereof
  • Method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis, and application thereof
  • Method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis, and application thereof

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Embodiment

[0038] Embodiment A method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis and its application.

[0039] 1. 300 samples with prognosis and follow-up information were obtained from the GSE62254 data set, and the correlation cluster analysis results between samples were standardized by the median as follows: figure 2 shown. It can be seen from the figure that the expression correlation between the samples is very high, but it can also be clearly seen that the correlation in these samples can be divided into two groups, and the correlation in the two groups is higher, which shows that these samples There is some heterogeneity. A group of samples with the highest correlation was selected as the data set of this study, and a total of 282 samples were obtained. Further follow-up analysis is carried out based on these samples, the analysis flow chart is as follows figure 1 shown.

[0040] 2. According to the screening co...

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Abstract

The invention relates to the biomedicine field, and specifically relates to a method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis, and application thereof. The method for screening potential biomarkers of gastric cancer adopts weighted gene co-expression network analysis (WGCNA) and KEGG pathway and GO enrichment analysis, and other analysis methods. Weighted Gene Co-Expression Network Analysis (WGCNA) is an efficient and comprehensive method for high-dimensional data analysis, and the accuracy and validity in analyzing gene chip data of the WGCNA has been confirmed. The potential biomarker screened by the method of the invention is FERMT2. The method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis provides a new direction for the diagnosis, treatment and prognosis of gastric cancer, and promotes the development of individualized treatment.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to a method for screening potential biomarkers of gastric cancer based on weighted gene co-expression network analysis and its application. Background technique [0002] Gastric cancer (gastric cancer) is one of the most common malignant tumors, with high morbidity and mortality. At present, there are still many patients with advanced gastric cancer in China, and it is also one of the countries with a high incidence of gastric cancer in the world. Therefore, early diagnosis, reasonable assessment of its prognosis and timely and appropriate intervention are very important. Current research reveals that gastric cancer is a genetic disease, an evolution process involving the participation of various oncogenes and anti-cancer genes, multi-stage and multi-pathway coordination, so that the gastric mucosa gradually develops into precancerous lesions, and then develops into gastric cancer. There...

Claims

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Application Information

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IPC IPC(8): G16B25/10G16H50/30
CPCY02A90/10
Inventor 王哲解夕黎
Owner 辽宁省肿瘤医院
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