Department of Endocrinology, Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, 650302, Yunnan, China.
Department of Science and Research, Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, 650302, Yunnan, China.
Sci Rep. 2023 Apr 7;13(1):5740. doi: 10.1038/s41598-023-32891-z.
Clear cell renal cell carcinoma (ccRCC) is a primary malignant tumour of tubular epithelial origin and is most common in the urinary tract. Growing evidence suggests that oxidative stress (OS), generates high levels of reactive oxygen species (ROS) and free radicals, and plays a critical role in cancer in humans. However, the predictive value of OS-related long non-coding RNAs (lncRNAs) in ccRCC remains unclear. We constructed a predictive signature of survival based on OS-related lncRNAs that were obtained from The Cancer Genome Atlas (TCGA-KIRC), to predict the prognosis of patients with ccRCC. The signature comprised seven lncRNAs: SPART-AS1, AL162586.1, LINC00944, LINC01550, HOXB-AS4, LINC02027, and DOCK9-DT. OS-related signature of lncRNAs had diagnostic efficiency higher than that of clinicopathological variables, with an area of 0.794 under the receiver operating characteristic curve. Additionally, the nomogram based on risk scores and clinicopathological variables (age, gender, grade, stage, M-stage, and N-stage) showed strong predictive performance. Patients with high-risk were found to be more sensitive to the therapeutic drugs ABT.888, AICAR, MS.275, sunitinib, AZD.2281, and GDC.0449. Our constructed the predictive signature can independently predict the prognosis of patients with ccRCC; however, the underlying mechanism needs further investigation.
透明细胞肾细胞癌 (ccRCC) 是一种起源于管状上皮的原发性恶性肿瘤,最常见于泌尿道。越来越多的证据表明,氧化应激 (OS) 会产生高水平的活性氧 (ROS) 和自由基,并在人类癌症中发挥关键作用。然而,OS 相关长非编码 RNA (lncRNA) 在 ccRCC 中的预测价值尚不清楚。我们基于从癌症基因组图谱 (TCGA-KIRC) 获得的 OS 相关 lncRNA 构建了一个与生存相关的预测特征,以预测 ccRCC 患者的预后。该特征由七个 lncRNA 组成:SPART-AS1、AL162586.1、LINC00944、LINC01550、HOXB-AS4、LINC02027 和 DOCK9-DT。OS 相关 lncRNA 签名的诊断效率高于临床病理变量,ROC 曲线下面积为 0.794。此外,基于风险评分和临床病理变量(年龄、性别、分级、分期、M 分期和 N 分期)的列线图显示出强大的预测性能。高风险患者对 ABT.888、AICAR、MS.275、舒尼替尼、AZD.2281 和 GDC.0449 等治疗药物更敏感。我们构建的预测特征可以独立预测 ccRCC 患者的预后;然而,其潜在机制需要进一步研究。