Yang Ruanruan, Wang Yating, Wei Zhifu, Huang Zhanpeng, Hong Xiaoshan, Lin Yu
Baiyun Branch of Nanfang Hospital, Southern Medical University, Guangzhou, 510006, China.
Guangzhou Tencent Technology Co., LTD, Guangzhou, 511400, China.
Discov Oncol. 2024 Oct 28;15(1):596. doi: 10.1007/s12672-024-01489-w.
Ovarian cancer (OC) is the most fatal, gynecological malignancy. Compared with advanced ovarian cancer, the 5 year survival rate of early ovarian cancer is significantly improved, and predicting early detection and diagnosis is very important to improve the prognosis of OC. Recent research has found a new way of cell death: disulfidptosis. Under glucose starvation, abnormal accumulation of disulfide molecules such as Cystine in SLC7A11 overexpression cells induced disulfide stress to trigger cell death. Studies of disulfidptosis are still in their infancy and its role in ovarian cancer progression is unclear. In this study, we used a public database to detect the expression and mutations of disulfidptosis-related genes in OC. Cluster analysis was performed based on disulfidptosis-related genes, and disulfidptosis differential expression genes were analyzed. A prognostic risk model was constructed using three disulfidptosis-related genes, and the reasons for differences in prognosis were explored through immune infiltration analysis and drug sensitivity analysis. The prognostic characteristics of transcriptome based on disulfidptosis-related genes are closely related to the prognosis of OC patients. Finally, quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression of three prognostic genes in clinical OC samples.Our study establishes a link between disulfidptosis and OC, providing new ideas for personalized and precise treatment of OC.
卵巢癌（OC）是最致命的妇科恶性肿瘤。与晚期卵巢癌相比，早期卵巢癌的5年生存率显著提高，预测早期检测和诊断对于改善OC的预后非常重要。最近的研究发现了一种新的细胞死亡方式：二硫化物诱导的细胞死亡（disulfidptosis）。在葡萄糖饥饿条件下，溶质载体家族7成员11（SLC7A11）过表达细胞中胱氨酸等二硫键分子的异常积累会诱导二硫键应激，从而触发细胞死亡。目前关于二硫化物诱导的细胞死亡的研究仍处于起步阶段，其在卵巢癌进展中的作用尚不清楚。在本研究中，我们使用公共数据库检测OC中与二硫化物诱导的细胞死亡相关基因的表达和突变情况。基于与二硫化物诱导的细胞死亡相关基因进行聚类分析，并分析二硫化物诱导的细胞死亡差异表达基因。利用三个与二硫化物诱导的细胞死亡相关的基因构建预后风险模型，并通过免疫浸润分析和药物敏感性分析探讨预后差异的原因。基于与二硫化物诱导的细胞死亡相关基因的转录组预后特征与OC患者的预后密切相关。最后，采用定量聚合酶链反应（RT-qPCR）检测临床OC样本中三个预后基因的表达情况。我们的研究建立了二硫化物诱导的细胞死亡与OC之间的联系，为OC的个性化精准治疗提供了新思路。
