Background:Ovarian cancer (OV) is one of the deadliest gynecologic cancers,
and approximately 75% of serous ovarian cancer [SOC] patients are diagnosed at
advanced stages due to the lack of effective biomarkers.Objective:Immunogenic cell death (ICD) has been investigated in many comprehensive
studies, and the role of ICD in ovarian cancer and its impact on immunotherapy is not
yet known.Method:The NMF clustering analysis was employed to categorize OV samples into different
subgroups. Survival, mutation, and CNV analyses were performed in these clusters.
ESTIMATE, CIBERSORT, TIDE, and drug sensitivity analyses [based on GDSC]
were also performed on the subtypes. Then, differentially expressed immunogenic cell
death genes (DE-ICDGs) in OV were obtained by crossing the DEGs between cluster 3
vs cluster 1, DEGs from the TCGA-GTEx dataset, and DEGs from the GSE40595 dataset.
Functional enrichment analysis of DE-ICDGs was then performed. The signature
genes related to the prognosis of OV in three OV datasets were excavated by drawing
Kaplan-Meier curves. Finally, quantitative real-time PCR [qRT-PCR] was performed to
verify the expression trends of the signature genes.Results:The NMF clustering analysis categorized OV samples into three distinct groups
according to the expression levels of ICDGs, with differential analysis indicating that
Cluster 3 represented the subgroup with high ICD expression. Mutation and CNV analysis
did not differ significantly between clusters, but Amp and Del's numbers did. Immuno-
infiltration analysis revealed that cluster 3 showed significant differences from
cluster 1 and cluster 2. Immunotherapy and drug sensitivity analysis showed differences
in immunotherapy and chemotherapy sensitivity between the clusters. The DEGs in cluster3
vs. cluster1, TCGA-GTEx dataset and GSE40595 dataset were intersected to obtain
a total of 71 DE-ICDGs, and functional enrichment result suggested that the DE-ICDGs
were significantly correlated with inflammatory response, complement system and positive
regulation of cytokine production. 2 DE-ICDGs (FN1 and LUM) were identified
that were associated with OV prognosis and were validated significantly down-regulated
in the SOC group with PCR.Conclusion:We identified ICD-associated subtypes of OV and mined 2 OV prognostic
genes (FN1 and LUM) associated with ICD, which may have important implications for
OV prognosis and therapy.conclusion:We identified ICD-associated subtypes of OV and mined 2 OV prognostic genes (FN1 and LUM) associated with ICD by analyzing transcriptome data and clinical data of OV from public databases, which may have important implications for OV prognosis and therapy.