Lei Han, Zhou Zhengwei, Liu Chang, Chen Weiting, Li Yu, Shu Guang, Wang Maonan, Guo Ke, Pan Qiong, Yin Gang
Department of Pathology, Xiangya Hospital, Xiangya School of Basic Medical Science, Central South University, Changsha, People's Republic of China.
Xiangya School of Basic Medical Science, Central South University, Changsha, People's Republic of China.
J Inflamm Res. 2025 Jun 8;18:7419-7442. doi: 10.2147/JIR.S521410. eCollection 2025.
Cuproptosis, a novel form of cell death triggered by copper ion accumulation, has shown potential in cancer therapy, particularly through the involvement of cuproptosis-related lnRNAs (CRLs). In-depth analyses exploring the relationship between CRLs and ovarian cancer (OC) are currently limited.
LASSO-Cox regression analysis was conducted to assess the prognostic significance of CRLs and develop a cuproptosis-related prognostic model. Furthermore, tumor immune microenvironment and drug sensitivity were analyzed using ssGSEA, GSVA, ESTIMATE, and CIBERSORT algorithms. Finally, the tumorigenic effect of LINC02285 in OC and its correlation with cuproptosis were investigated by in vitro cell experiments.
We identified 138 CRLs correlated with cuproptosis-related genes (CRGs), 4 key CRLs (AC080038.1, AC083880.1, LINC00861, and LINC02285) were used to develop a prognostic model that effectively distinguished between low-risk and high-risk patients with significant differences in overall survival and progression-free survival. ROC curve analysis further validated the predictive capacity of the signature. Additionally, the low-risk group had a favorable prognosis associated with a protective immune microenvironment and a better response to targeted drugs. Conversely, the high-risk group displayed aggressive tumor features and poor immunotherapy outcomes. Validation through qPCR confirmed the differential expression of these CRLs in OC cells compared to normal ovarian cells, underscoring their potential significance in tumor biology. Bioinformatics analyses corroborated the association of LINC02285 with poor prognosis in OC patients. Functional experiment results showed that abnormal expression of LINC02285 could significantly regulate the proliferation and migration of OC cells. In addition, overexpression of LINC02285 markedly attenuated the inhibitory effects of Elesclomol-CuCl on OC cell activity.
Our study established a prognostic model based on 4 CRLs to assess overall survival and the immune microenvironment in OC patients. As a high-risk factor, LINC02285 demonstrates potential as a prognostic biomarker for OC.
铜死亡是一种由铜离子积累引发的新型细胞死亡形式,在癌症治疗中已显示出潜力,特别是通过与铜死亡相关的长链非编码RNA(CRLs)发挥作用。目前,关于CRLs与卵巢癌(OC)之间关系的深入分析较为有限。
进行LASSO-Cox回归分析以评估CRLs的预后意义,并建立一个与铜死亡相关的预后模型。此外,使用单样本基因集富集分析(ssGSEA)、基因集变异分析(GSVA)、肿瘤免疫估计(ESTIMATE)和免疫细胞类型估计(CIBERSORT)算法分析肿瘤免疫微环境和药物敏感性。最后,通过体外细胞实验研究LINC02285在OC中的致瘤作用及其与铜死亡的相关性。
我们鉴定出138个与铜死亡相关基因(CRGs)相关的CRLs,使用4个关键的CRLs(AC080038.1、AC083880.1、LINC00861和LINC02285)建立了一个预后模型,该模型能够有效区分低风险和高风险患者,两组患者的总生存期和无进展生存期存在显著差异。ROC曲线分析进一步验证了该特征的预测能力。此外,低风险组预后良好,与保护性免疫微环境和对靶向药物的更好反应相关。相反,高风险组表现出侵袭性肿瘤特征和较差的免疫治疗结果。通过qPCR验证证实了这些CRLs在OC细胞与正常卵巢细胞中的差异表达,强调了它们在肿瘤生物学中的潜在意义。生物信息学分析证实了LINC02285与OC患者不良预后的相关性。功能实验结果表明,LINC02285的异常表达可显著调节OC细胞的增殖和迁移。此外,LINC02285的过表达明显减弱了依来氯铵-氯化铜对OC细胞活性的抑制作用。
我们的研究基于4个CRLs建立了一个预后模型来评估OC患者的总生存期和免疫微环境。作为一个高风险因素,LINC02285显示出作为OC预后生物标志物的潜力。