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二硫键相关长非编码 RNA 指数预测宫颈癌的预后和化疗药物敏感性。

Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer.

机构信息

Department of Gynecology, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, No.1 Baojian Road, Shunde District, Foshan, 528300, Guangdong, China.

Department of Obstetrics, Pingxiang Maternal and Child Health Hospital, Pingxiang, 337000, Jiangxi, China.

出版信息

Sci Rep. 2023 Aug 1;13(1):12470. doi: 10.1038/s41598-023-39669-3.

Abstract

Disulfidptosis is a newly discovered form of cell death. Not yet clearly classified as programmed cell death or accidental cell death. This study aimed to create a novel disulfidptosis-related lncRNA index (DLI) that can be used to predict survival and chemotherapy drugs sensitivity in patients with cervical cancer. First of all, we found lncRNAs associated with disulfidptosis between cervical cancer tissues and normal tissues. By LASSO-Cox analysis, overlapping lncRNAs were then used to construct lncRNA index associated with disulfidptosis, which can be served to predict the prognosis of patients with CC, especially the chemotherapy drugs sensitivity. ROC curves and PCA based on DLI and clinical signatures were developed and demonstrated to have good predictive potential. In addition, differences in immune cell subset infiltration and differences in immune checkpoint expression between high-DLI and low-DLI groups were analyzed, and we investigated the relationship between the DLI and tumor mutation burden (TMB). In summary, we constructed a lncRNA prediction index associated with disulfidptosis. This has important clinical implications, including improving the predictive value of cervical cancer patients and providing a biomarker for cervical cancer guiding individualized treatment.

摘要

细胞二硫键程序性死亡(Disulfidptosis)是一种新发现的细胞死亡形式。它尚未被明确归类为程序性细胞死亡或意外细胞死亡。本研究旨在创建一种新的与细胞二硫键程序性死亡相关的长链非编码 RNA 指数(DLI),用于预测宫颈癌患者的生存和化疗药物敏感性。首先,我们在宫颈癌组织和正常组织之间发现了与细胞二硫键程序性死亡相关的长链非编码 RNA。通过 LASSO-Cox 分析,然后使用重叠的长链非编码 RNA 构建与细胞二硫键程序性死亡相关的长链非编码 RNA 指数,可用于预测 CC 患者的预后,尤其是化疗药物敏感性。基于 DLI 和临床特征的 ROC 曲线和 PCA 也被开发并证明具有良好的预测潜力。此外,还分析了高 DLI 和低 DLI 组之间免疫细胞亚群浸润和免疫检查点表达的差异,并研究了 DLI 与肿瘤突变负荷(TMB)之间的关系。总之,我们构建了一个与细胞二硫键程序性死亡相关的长链非编码 RNA 预测指数。这具有重要的临床意义,包括提高宫颈癌患者的预测价值,并为宫颈癌提供个体化治疗的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e3/10394072/91652da8f28d/41598_2023_39669_Fig1_HTML.jpg

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