■卵巢癌(OC)在女性中排名第五,并表现出不利的预后。为了改善OC患者的预后,通过合并二硫下垂相关基因,形成了开创性的风险特征.
■对OC组织和正常组织进行了比较分析,并使用|log2(倍数变化)|>0.585和调整后的P值<0.05的标准发现了差异表达的二硫化物凋亡相关基因(DRGs)。随后,TCGA训练集用于创建预后风险标志,通过使用TCGA测试集和GEO数据集进行了验证。此外,免疫细胞浸润,突变负荷,对化疗的反应,并分析了对免疫治疗的反应。为了进一步验证这些发现,对卵巢肿瘤细胞系进行QRT-PCR分析。
■使用十四个差异表达基因(DEGs)创建了与二硫键下垂相关的风险特征,能够将卵巢癌(OC)患者分为高危组(HRG)和低危组(LRG)。与LRG相比,HRG表现出较低的总生存期(OS)。此外,即使在纳入临床因素后,风险评分仍是独立预测因子.此外,LRG显示较低的基质,免疫,以及与HRG相比的估计分数,暗示风险签名之间可能存在的联系,免疫细胞浸润,和突变负载。最后,QRT-PCR实验显示,与人正常OC细胞系IOSE80相比,人OC细胞系SKOV3中有8个基因上调,而6个基因下调。
■由二硫键下垂相关基因组成的十四个生物标志物标记可以作为OC的有价值的风险分层工具,有助于识别可能从个性化治疗和随访管理中受益的患者。
UNASSIGNED: Ovarian cancer (OC) ranks as the fifth most prevalent neoplasm in women and exhibits an unfavorable prognosis. To improve the OC patient\'s prognosis, a pioneering risk signature was formulated by amalgamating disulfidptosis-related genes.
UNASSIGNED: A comparative analysis of OC tissues and normal tissues was carried out, and differentially expressed disulfidptosis-related genes (DRGs) were found using the criteria of |log2 (fold change) | > 0.585 and adjusted P-value <0.05. Subsequently, the TCGA training set was utilized to create a prognostic risk signature, which was validated by employing both the TCGA testing set and the GEO dataset. Moreover, the immune cell infiltration, mutational load, response to chemotherapy, and response to immunotherapy were analyzed. To further validate these findings, QRT-PCR analysis was conducted on ovarian tumor cell lines.
UNASSIGNED: A risk signature was created using fourteen differentially expressed genes (DEGs) associated with disulfidptosis, enabling the classification of ovarian cancer (OC) patients into high-risk group (HRG) and low-risk group (LRG). The HRG exhibited a lower overall survival (OS) compared to the LRG. In addition, the risk score remained an independent predictor even after incorporating clinical factors. Furthermore, the LRG displayed lower stromal, immune, and estimated scores compared to the HRG, suggesting a possible connection between the risk signature, immune cell infiltration, and mutational load. Finally, the QRT-PCR experiments revealed that eight genes were upregulated in the human OC cell line SKOV3 compared with the human normal OC line IOSE80, while six genes were down-regulated.
UNASSIGNED: A fourteen-biomarker signature composed of disulfidptosis-related genes could serve as a valuable risk stratification tool in OC, facilitating the identification of patients who may benefit from individualized treatment and follow-up management.