Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Sci Rep. 2024 Feb 26;14(1):4621. doi: 10.1038/s41598-024-55201-7.
As a novel form of regulated cell death (RCD), disulfidptosis offering a significant opportunity in better understanding of tumor pathogenesis and therapeutic strategies. Long non-coding RNAs (lncRNAs) regulate the biology functions of tumor cells by engaging with a range of targets. However, the prognostic value of disulfidptosis-related lncRNAs (DRlncRNAs) in lung adenocarcinoma (LUAD) remains unclear. Therefore, our study aimed at establishing a prognostic model for LUAD patients based on DRlncRNAs. RNA-seq data and clinical information were obtained from The Cancer Genome Atlas (TCGA) database. Subsequently, a prognostic model based on DRlncRNAs was constructed using LASSO and COX regression analysis. Patients were stratified into high- and low-risk groups based on their risk scores. Differences between the high-risk and low-risk groups were investigated in terms of overall survival (OS), functional enrichment, tumor immune microenvironment (TIME), somatic mutations, and drug sensitivity. Finally, the role of lncRNA GSEC in LUAD was validated through in vitro experiments. Using the prognostic model consists of 5 DRlncRNAs (AL365181.2, GSEC, AC093673.1, AC012615.1, AL606834.1), the low-risk group exhibited a markedly superior survival in comparison to the high-risk group. The significant differences were observed among patients from different risk groups in OS, immune cell infiltration, immune checkpoint expression, immunotherapy response, and mutation landscape. Experimental results from cellular studies demonstrate the knockdown of lncRNA GSEC leading to a significant reduction in the proliferation and migration abilities of LUAD cells. Our prognostic model, constructed using 5 DRlncRNAs, exhibited the capacity to independently predict the survival of LUAD patients, providing the potentially significant assistance in prognosis prediction, and treatment effects optimization. Moreover, our study established a foundation for further research on disulfidptosis in LUAD and proposed new perspectives for the treatment of LUAD.
作为一种新型的调控细胞死亡(RCD)形式,二硫键细胞死亡(disulfidptosis)为更好地理解肿瘤发病机制和治疗策略提供了重要机会。长链非编码 RNA(lncRNAs)通过与一系列靶标结合来调节肿瘤细胞的生物学功能。然而,在肺腺癌(LUAD)中,与二硫键细胞死亡相关的 lncRNAs(DRlncRNAs)的预后价值尚不清楚。因此,我们的研究旨在基于 DRlncRNAs 为 LUAD 患者建立一个预后模型。从癌症基因组图谱(TCGA)数据库中获取 RNA-seq 数据和临床信息。随后,使用 LASSO 和 COX 回归分析构建基于 DRlncRNAs 的预后模型。根据风险评分将患者分为高风险和低风险组。从总体生存(OS)、功能富集、肿瘤免疫微环境(TIME)、体细胞突变和药物敏感性等方面比较高风险和低风险组之间的差异。最后,通过体外实验验证 lncRNA GSEC 在 LUAD 中的作用。使用包含 5 个 DRlncRNAs(AL365181.2、GSEC、AC093673.1、AC012615.1、AL606834.1)的预后模型,低风险组的生存明显优于高风险组。在不同风险组的患者中,OS、免疫细胞浸润、免疫检查点表达、免疫治疗反应和突变景观存在显著差异。细胞研究的实验结果表明,lncRNA GSEC 的敲低导致 LUAD 细胞的增殖和迁移能力显著降低。我们使用 5 个 DRlncRNAs 构建的预后模型能够独立预测 LUAD 患者的生存,为预后预测和治疗效果优化提供了潜在的重要帮助。此外,我们的研究为 LUAD 中的二硫键细胞死亡研究奠定了基础,并为 LUAD 的治疗提供了新的视角。