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Marker for predicting survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patient and application of marker

A technology of immunotherapy and inducer, applied in the field of biomedicine, can solve problems such as lack

Pending Publication Date: 2021-10-01
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Clinical practice cannot be guided by molecular subtype due to lack of other subgroup classifications

Method used

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  • Marker for predicting survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patient and application of marker
  • Marker for predicting survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patient and application of marker
  • Marker for predicting survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patient and application of marker

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Example 1 Selection of pyroptosis-related genes

[0064] Caspase 1 (CASP1) and caspase 4 / 5 (CASP4 / 5) can specifically cleave Gasdermin D protein (GSDMD), and the cleaved form of GSDMD protein is essential for pyroptosis. The increase of the concentration of Caspase 8 (CASP8) is another effective way to cause the cleavage of GSDMD protein. Caspase 3 enzyme (CASP3) and Granzyme B enzyme (GZMB) can cleave Gasdermin E protein (GSDME), thereby converting apoptosis into pyroptosis. Apoptosis can also be transformed into pyroptosis when Gasdermin B protein (GSDMB) is cleaved by Granzyme A enzyme (GZMA). Therefore, the present invention has selected 11 genes (CASP1, CASP3, CASP4, CASP5, CASP8, GSDMB, GSMDC, GSDMD, GSDME, GZMA, GZMB) related to pyroptosis as genes related to pyroptosis ( figure 1 ). All pyroptosis-related genes showed higher expression levels in gastric cancer tissues than in normal tissues ( figure 2 ), suggesting that pyroptosis-related genes play an impo...

Embodiment 2

[0065] Example 2 Gastric cancer-related gene data download

[0066] Download the original data and clinical data GSE15459, GSE34942, GSE57303, GSE62254 of gastric cancer transcriptome chip from AffymetrixHuman Genome U133 Plus 2.0Array platform from Gene Expression Comprehensive Database (http: / / www.ncbi.nlm.nih.gov / geo / ). The four GEO databases were joined and batch effects removed using the "SVA" R package. Gastric cancer transcriptome FPKM sequencing data and clinical data downloaded from The Cancer Genome Atlas (TCGA) were used.

Embodiment 3

[0067] Example 3 Creation of pyroptosis-related subtypes in gastric cancer

[0068] 3.1 Selection of pyroptosis-related gastric cancer types

[0069] The "ConsensuClusterPlus" R software package was used to conduct unsupervised cluster analysis on the GEO joint database in Example 2, and k=2 was selected as the best subtype grouping according to the analysis results, and the gastric cancer cases in the joint data set were divided into categories 1 and 2. Two subtypes of the class ( image 3 ).

[0070] 3.2 Characterization of pyroptosis-related subtypes

[0071] The "pheatmap" R software package was used to conduct unsupervised clustering of the clinical data in Example 2 and combined analysis with the two subtypes in Example 3.1, and it was found that Type 1 subtype showed higher The expression levels of pyroptosis-related genes.

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Abstract

The invention relates to a marker for predicting survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patients. The marker is an mRNA marker and is composed of GZMB, RBPMS2, CASP1, TAC1, TPM2 and GBP4. The invention also discloses a kit using the marker, and a method for predicting the survival risk, immunotherapy response and pyroptosis inducer applicability of gastric cancer patients through the kit. A risk model is constructed through the mRNA marker, a risk score is obtained, a risk evaluation index 1.258 is taken as a measurement standard, the survival risk and the immunotherapy response condition of a gastric cancer patient can be predicted, an applicable indication of a pyroptosis inducer can also be judged, and a gastric cancer survival rate prediction model is further constructed in combination with clinical information of the patient, and the survival rates of the gastric cancer patients in 3 years, 5 years and 8 years can be effectively predicted.

Description

technical field [0001] The invention relates to a marker for predicting the survival risk of gastric cancer patients, the response to immunotherapy and the applicability of a pyroptosis inducer and its application, belonging to the field of biomedicine. Background technique [0002] Gastric cancer is the fifth most common cancer and the third leading cause of cancer-related deaths worldwide. Every year, at least 1 million people worldwide are diagnosed with gastric cancer, accounting for 20% of the global disease burden, second only to lung and liver cancer. In recent years, due to the impact of dietary habits, living habits and environmental changes, gastric cancer has shown a trend of younger people, seriously affecting people's quality of life. Early stomach cancer is difficult to diagnose, and the disease is mostly detected at an advanced stage, so the risk of death from stomach cancer is high. In addition, tumor microenvironment (TME) abnormalities may contribute to w...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11G16H50/30G16H50/50
CPCC12Q1/6886G16H50/30G16H50/50C12Q2600/118C12Q2600/158
Inventor 贾继辉邵伟杨宗澄付悦
Owner SHANDONG UNIV
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