Correlation of pyroptosis-related molecule GSDMB with immune infiltration of tumor microenvironment in ovarian cancer
10.13315/j.cnki.cjcep.2025.11.009
- VernacularTitle:细胞焦亡相关分子GSDMB与卵巢癌肿瘤微环境免疫浸润的相关性
- Author:
Li TAN
1
;
Xiaoting LIU
;
Wei GAO
;
Rong HUANG
;
Qian CHEN
;
Ling HE
Author Information
1. 湖南省第二人民医院妇科,长沙 410007
- Publication Type:Journal Article
- Keywords:
ovarian cancer;
GSDMB;
immune infiltration;
tumor microenvironment;
pyroptosis
- From:
Chinese Journal of Clinical and Experimental Pathology
2025;41(11):1462-1471
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To investigate the clinical significance of Gasdermin B(GSDMB)in ovarian cancer and its relationship with immune infiltration,aiming to explore novel biomarkers for immunotherapy.Methods Gene expres-sion matrix,somatic mutations,somatic copy number alterations(SCNA),and clinical data were obtained from the The Cancer Genome Atlas(TCGA)database.Copy number variation(CNV)analysis was performed using the GISTIC algorithm,and the CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types in the tumor microenvironment.Protein-protein interaction(PPI)network analysis was conducted to identify GSDMB-associ-ated interacting proteins.Additionally,multiplex immunofluorescence was used to verify the spatial distribution differ-ences of GSDMB protein in clinical ovarian cancer samples with different immune phenotypes and its interaction with immune cells.Results The expression level of the GSDMB gene was significantly higher in adjacent non-cancerous tissues than in tumor tissues(P<0.001).Patients with high GSDMB expression exhibited elevated levels of immune chemokines(such as CXCL9 and CXCL10,P<0.01)and tumor-killing lymphocytes(the proportion of CD8+T cell was significantly higher in the high-expression group than in the low-expression group,P<0.001).CNV analysis re-vealed that GSDMB copy number alterations significantly influenced immune cell infiltration:patients with GSDMB cop-y number amplification had decreased infiltration levels of CD4+T cells and dendritic cells(P<0.05),while those with deep deletion of GSDMB had significantly reduced infiltration levels of CD8+T cells and neutrophils(P<0.01).PPI network analysis indicated that GSDMB might interact with key immune molecules,including IL-37,IL-18BP,IL-33,and IL-2(Pearson correlation coefficient r>0.6,P<0.001).Multiplex immunofluorescence analysis demonstra-ted that tumors with high GSDMB expression were more likely to exhibit an immune-inflamed phenotype(52.6%),while tumors in the low-expression group were predominantly immune-desert type(47.3%).Immunotherapy cohort a-nalysis suggested that GSDMB could serve as a potential predictive biomarker for immunotherapy responsiveness,with high predictive efficacy in multiple immune checkpoint inhibitor therapy cohorts targeting PD-1,PD-L1,and CTLA4(AUC>0.8).Conclusion GSDMB plays a crucial role in reshaping the tumor microenvironment in ovarian cancer and may serve as a novel sensitizing target for immunotherapy.