Lin Ting, Deng Linyu, Liu Siyu, Chen Yan, Tang Yinggang, Zhou Fangliang, Gong Guanghui, He Yingchun
Hunan Provincial Engineering Research Center for Prevention and Treatment of Ophthalmology and Otolaryngology Diseases With Chinese Medicine and Visual Function Protection, Hunan University of Chinese Medicine, No. 300, Xuba Road, Hanpu Science and Education Park, Changsha, 410208, Hunan, People's Republic of China.
Hunan Provincial Key Laboratory for Prevention and Treatment of Ophthalmology and Otolaryngology Diseases With Chinese Medicine, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, People's Republic of China.
Sci Rep. 2025 Mar 22;15(1):9901. doi: 10.1038/s41598-025-94968-1.
Dysregulated RNA processing is crucial in nasopharyngeal carcinoma (NPC) progression. Our research aimed to evaluate the prognostic values of RNA-processing genes (RPGs) in NPC through bioinformatic analysis of the GSE12452 and GSE102349 datasets, identifying differentially expressed RNA-processing genes (DE-RPGs). A prognostic model was developed using univariate and multivariate Cox analysis, with effectiveness assessed by ROC analysis. The correlation between risk scores, immune characteristics, and chemotherapy sensitivity was also analyzed. Model gene expression was validated by RT-qPCR, Western Blot, and immunohistochemistry, alongside functional assays. Bioinformatics indicated that RNA binding motif protein 20 (RBM20) and LSM5 are prognostic RPGs, with the ROC curve confirming their predictive ability for survival. Significant differences in drug sensitivity were noted between high- and low-risk groups. Experimental validation showed LSM5 is overexpressed in NPC tissues, correlating with poorer prognosis, and its down-regulation inhibits cell proliferation and migration. Thus, LSM5 is identified as a new adverse biomarker in NPC, with implications for targeted therapy and prognosis improvement.
RNA加工失调在鼻咽癌(NPC)进展中至关重要。我们的研究旨在通过对GSE12452和GSE102349数据集进行生物信息学分析,评估RNA加工基因(RPG)在NPC中的预后价值,识别差异表达的RNA加工基因(DE-RPG)。使用单变量和多变量Cox分析建立预后模型,并通过ROC分析评估其有效性。还分析了风险评分、免疫特征和化疗敏感性之间的相关性。通过RT-qPCR、Western Blot和免疫组织化学以及功能测定对模型基因表达进行了验证。生物信息学表明,RNA结合基序蛋白20(RBM20)和LSM5是预后RPG,ROC曲线证实了它们对生存的预测能力。高风险组和低风险组之间在药物敏感性方面存在显著差异。实验验证表明,LSM5在NPC组织中过表达,与较差的预后相关,其下调抑制细胞增殖和迁移。因此,LSM5被确定为NPC中的一种新的不良生物标志物,对靶向治疗和改善预后具有重要意义。