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Identification of a disulfidptosis‐related prognostic signature for prediction of the effect of treatment in patients with endometrial carcinoma.

Authors :
Peng, Lu
Gao, Yuan
Cao, Zifeng
Pang, Yingxin
Source :
Cancer Innovation. Jun2024, Vol. 3 Issue 3, p1-16. 16p.
Publication Year :
2024

Abstract

Background: Disulfide, an essential compounds family, has diverse biological activity and can affect the dynamic balance between physiological and pathological states. A recently published study found that aberrant accumulation of disulfide had a lethal effect on cells. This mechanism of cell death, named disulfidptosis, differs from other known cell death mechanisms, including cuproptosis, apoptosis, necroptosis, and pyroptosis. The relationship between disulfidptosis and development of cancer, in particular endometrial carcinoma, remains unclear. Methods: To address this knowledge gap, we performed a preliminary analysis of samples from The Cancer Genome Atlas database. The samples were divided equally into a training group and a test group. A total of 2308 differentially expressed genes were extracted, and 11 were used to construct a prognostic model. Results: Based on the risk score calculated using the prognostic model, the samples were divided into a high‐risk group and a low‐risk group. Survival time, tumor mutation burden, and microsatellite instability scores differed significantly between the two groups. Furthermore, a between‐group difference in treatment effect was predicted. Comparison with other models in the literature indicated that this prognostic model had better predictive anility. Conclusion: The results of this study provide a general framework for understanding the relationship between disulfidptosis and endometrial cancer that could be used for clinical evaluation and selection of appropriate personalized treatment strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27709183
Volume :
3
Issue :
3
Database :
Academic Search Index
Journal :
Cancer Innovation
Publication Type :
Academic Journal
Accession number :
177114633
Full Text :
https://doi.org/10.1002/cai2.120