Department of Urology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Immunol. 2022 Jul 26;13:934387. doi: 10.3389/fimmu.2022.934387. eCollection 2022.
Poor prognosis of kidney renal clear cell carcinoma (KIRC) is often related to angiogenesis. The lncRNAs that regulate angiogenesis could also affect the prognosis of KIRC. It is meaningful for us to use lncRNAs related to angiogenesis to construct a generic, individualized prognostic signature for patients with KIRC.
We identified eight angiogenesis-associated genes (AAGs) by differential expression analysis and univariate Cox regression from The Cancer Genome Atlas dataset, including 537 KIRC samples and 72 normal samples. In total, 23 prognostic lncRNAs were screened out after Pearson correlation analysis and univariate Cox regression analysis. Then, we performed least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression to establish a four-AAG-related lncRNA prognostic signature.
The risk score was calculated for each KIRC patients by using a four-AAG-related lncRNA prognostic signature. We divided the KIRC patients into high- and low-risk groups by the median of the risk score. It was confirmed that the AAG-related lncRNA prognostic signature has good prognostic value for KIRC patients by time-dependent receiver operating characteristic and Kaplan-Meier survival analysis. We identified 3,399 differentially expressed genes between the high- and low-risk groups and performed their functional enrichment analyses. The AAG-related lncRNA prognostic signature was an independent prognostic predictor for KIRC patients and was used to perform a combined nomogram. We reevaluated them in terms of survival, clinic characteristics, tumor-infiltrating immune cells and tumor mutation burden.
Our research indicates that the AAG-related lncRNA prognostic signature is a promising and potential independent prognostic indicator for KIRC patients. Then, it could offer new insights into the prognosis assessment and potential treatment strategies of KIRC patients.
肾透明细胞癌(KIRC)的预后较差,通常与血管生成有关。调节血管生成的 lncRNAs 也可能影响 KIRC 的预后。因此,利用与血管生成相关的 lncRNAs 为 KIRC 患者构建通用的个体化预后特征具有重要意义。
我们通过差异表达分析和单因素 Cox 回归从癌症基因组图谱(TCGA)数据集确定了 8 个与血管生成相关的基因(AAGs),其中包括 537 个 KIRC 样本和 72 个正常样本。通过 Pearson 相关性分析和单因素 Cox 回归分析筛选出 23 个预后 lncRNA。然后,我们进行最小绝对收缩和选择算子(LASSO)回归和多因素 Cox 回归,以建立一个四 AAG 相关 lncRNA 预后特征。
利用四 AAG 相关 lncRNA 预后特征计算每个 KIRC 患者的风险评分。我们根据风险评分的中位数将 KIRC 患者分为高风险组和低风险组。通过时间依赖性接受者操作特征和 Kaplan-Meier 生存分析证实,AAG 相关 lncRNA 预后特征对 KIRC 患者具有良好的预后价值。我们在高低风险组之间鉴定了 3399 个差异表达基因,并进行了它们的功能富集分析。AAG 相关 lncRNA 预后特征是 KIRC 患者的独立预后预测因子,并用于联合列线图。我们从生存、临床特征、肿瘤浸润免疫细胞和肿瘤突变负荷等方面对它们进行了重新评估。
我们的研究表明,AAG 相关 lncRNA 预后特征是 KIRC 患者有前途和潜在的独立预后指标。它可以为 KIRC 患者的预后评估和潜在治疗策略提供新的见解。