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用于预测子宫内膜癌患者治疗效果的二硫化物化坏死相关预后标志物的鉴定。

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

作者信息

Peng Lu, Gao Yuan, Cao Zifeng, Pang Yingxin

机构信息

Department of Obstetrics and Gynecology Qilu Hospital of Shandong University Jinan China.

Department of Clinical Medicine Medical School of Shandong University Jinan China.

出版信息

Cancer Innov. 2024 Apr 23;3(3):e120. doi: 10.1002/cai2.120. eCollection 2024 Jun.

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.

摘要

背景

二硫键是一类重要的化合物家族,具有多种生物学活性,可影响生理和病理状态之间的动态平衡。最近发表的一项研究发现,二硫键的异常积累对细胞具有致死作用。这种细胞死亡机制被命名为二硫键凋亡,不同于其他已知的细胞死亡机制,包括铜死亡、凋亡、坏死性凋亡和焦亡。二硫键凋亡与癌症尤其是子宫内膜癌发生发展之间的关系仍不清楚。

方法

为填补这一知识空白,我们对癌症基因组图谱数据库中的样本进行了初步分析。样本被平均分为训练组和测试组。共提取了2308个差异表达基因,并使用其中11个构建了一个预后模型。

结果

根据使用预后模型计算出的风险评分,样本被分为高风险组和低风险组。两组之间的生存时间、肿瘤突变负荷和微卫星不稳定性评分存在显著差异。此外,还预测了两组之间治疗效果的差异。与文献中的其他模型比较表明,该预后模型具有更好的预测能力。

结论

本研究结果为理解二硫键凋亡与子宫内膜癌之间的关系提供了一个总体框架,可用于临床评估和选择合适的个性化治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0869/11212335/91e79de696c0/CAI2-3-e120-g004.jpg

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