A demonstration based on multi-omics transcriptome sequencing data revealed disulfidptosis heterogeneity within the tumor microenvironment of esophageal squamous cell carcinoma

Background It is of great concern to identify prognostic signatures for the prediction and prediction of esophageal squamous cell carcinoma (ESCC), which is the lethal pathological type of malignancy. Method Bulk RNA sequencing and scRNA-seq data were retrieved from GSE53624, GSE53622, and GSE188900...

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Published in:Discover. Oncology 2023-06, Vol.14 (1), p.96-96, Article 96
Main Authors: Liu, Fuxing, Yuan, Donglan, Liu, Xia, Zhuo, Shichao, Liu, Xinyun, Sheng, Haihui, Sha, Min, Ye, Jun, Yu, Hong
Format: Article
Language:English
Subjects:
Cancer Research
Cancer therapies
CD96
Cell cycle
Chemotherapy
Cluster analysis
Datasets
Disulfidptosis
Esophageal cancer
Esophageal squamous cell carcinoma
Genes
Immunotherapy
Internal Medicine
Medical prognosis
Medicine
Medicine & Public Health
Metastasis
Molecular Medicine
Oncology
Patients
Radiation therapy
Radiotherapy
Risk score
Squamous cell carcinoma
Surgical Oncology
Survival analysis
Tumor microenvironment
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Summary:Background It is of great concern to identify prognostic signatures for the prediction and prediction of esophageal squamous cell carcinoma (ESCC), which is the lethal pathological type of malignancy. Method Bulk RNA sequencing and scRNA-seq data were retrieved from GSE53624, GSE53622, and GSE188900. Disulfidptosis-related differentially expressed genes (DEGs) were identified between disulfidptosis-high score and disulfidptosis-low score groups. Functional annotation of DEGs were analyzed by Gene Ontology (GO). Consistent clustering and co-expression modules were analyzed, and then constructed a risk score model via multivariate Cox regression analysis. Immune infiltration and immunotherapy response analyses were conducted based on risk score. qRT-PCR, colony formation assay, and flow cytometry analysis were conducted in KYSE-150 and TE-1 cell lines. Results Seven genes (CD96, CXCL13, IL2RG, LY96, TPK1, ACAP1, and SOX17) were selected as marker genes. CD96 and SOX17 are independent prognostic signatures for ESCC patients, with a significant correlation with infiltrated immune cells. ESCC patients had worse response to nivolumab in the high-risk group. Through cellular experiments, we found that CD96 expression was associated with apoptosis and cell cycle ESCC cells. Conclusion In a word, the risk score based on disulfidptosis is associated with prognosis and the immune microenvironment, which may direct immunotherapy of ESCC. The key gene of risk score, namely CD96, plays a role in proliferation and apoptosis in ESCC. We offer an insight into the exploration of the genomic etiology of ESCC for its clinical management.
ISSN:2730-6011
2730-6011
DOI:10.1007/s12672-023-00711-5