Li Xiaoguang, Zhou Wenbin, Zhu Chang, Liu Jiechen, Ming Zedong, Ma Cong, Li Qing
Department of Stomatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinnan, China.
Front Genet. 2022 Aug 15;13:984911. doi: 10.3389/fgene.2022.984911. eCollection 2022.
Extensive research revealed copper and lncRNA can regulate tumor progression. Additionally, cuproptosis has been proven can cause cell death that may affect the development of tumor. However, there is little research focused on the potential prognostic and therapeutic role of cuproptosis-related lncRNA in OSCC patients. Data used were for bioinformatics analyses were downloaded from both the TCGA database and GEO database. The R software were used for statistical analysis. Mapping was done using the tool of FigureYa. The signature consist of 7 cuproptosis-related lncRNA was identified through lasso and Cox regression analysis and a nomogram was developed. In addition, we performed genomic analyses including pathway enrichment analysis and mutation analysis between two groups. It was found that OSCC patients were prone to TP53, TTN, FAT1 and NOTCH1 mutations and a difference of mutation analysis between the two groups was significant. Results of TIDE analysis indicating that patients in low risk group were more susceptible to immunotherapy. Accordingly, results of subclass mapping analysis confirmed our findings, which revealed that patients with low riskscore were more likely to respond to immunotherapy. We have successfully identified and validated a novel prognostic signature with a strong independent predictive capacity. And we have found that patients with low riskscore were more susceptible to immunotherapy, especially PD-1 inhibitor therapy.
广泛的研究表明,铜和长链非编码RNA(lncRNA)可调节肿瘤进展。此外,已证实铜死亡可导致细胞死亡,这可能会影响肿瘤的发展。然而,关于铜死亡相关lncRNA在口腔鳞状细胞癌(OSCC)患者中的潜在预后和治疗作用的研究很少。用于生物信息学分析的数据从TCGA数据库和GEO数据库下载。使用R软件进行统计分析。使用FigureYa工具进行映射。通过套索回归和Cox回归分析确定了由7个铜死亡相关lncRNA组成的特征,并绘制了列线图。此外,我们进行了基因组分析,包括两组之间的通路富集分析和突变分析。发现OSCC患者易于发生TP53、TTN、FAT1和NOTCH1突变,两组之间的突变分析差异显著。TIDE分析结果表明,低风险组患者对免疫治疗更敏感。因此,亚类映射分析结果证实了我们的发现,即低风险评分的患者更有可能对免疫治疗产生反应。我们成功地鉴定并验证了一种具有强大独立预测能力的新型预后特征。并且我们发现,低风险评分的患者对免疫治疗更敏感,尤其是对PD-1抑制剂治疗。