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
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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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