Chen Zerong, Huang Zehai, Hui Jialiang, Chen Zhuangfei, Zhang Haibo, Jiang Yaodong, Zeng Weisen
Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
J Oncol. 2022 Sep 29;2022:7495183. doi: 10.1155/2022/7495183. eCollection 2022.
Kidney renal clear cell carcinoma (KIRC) lacks effective prognostic biomarkers and the role and mechanism of N6-methyladenosine (m6A) modification of long noncoding RNAs (lncRNAs) in KIRC remain unclear.
We extracted standard mRNA-sequencing and clinical data from the TCGA database. The prognostic risk model was obtained by Lasso regression and Cox regression. We randomly divided the samples into training and test sets, each taking half of the cases. Based on Lasso regression and Cox regression for training set, the prognostic risk signature was constructed; risk scores were calculated with the R package "glmnet." Based on the median value of the prognostic risk score, risk scores were calculated for each patient and we divided all KIRC samples into high-risk and low-risk groups. Then, high- and low-risk subtypes were established and their prognosis, clinical features, and immune infiltration microenvironment were evaluated in test set and the entire sampled data set. The reliability of the prognostic model was confirmed by receiver operating characteristic curve analysis.
We found 28 prognostic m6A-related lncRNAs and established a m6A-related lncRNAs prognostic signature. Risk score=015813.1(0.0086)+2(-0.0101)+00173(0.0309)+5(-0.0146)+1(0.0043). The signature showed a better predictive ability than other clinical indicators, including tumor node metastasis classification (TNM), histological, and pathological stages. In the high-risk group, M0 macrophages, CD8+ T cells, and regulatory T cells had significantly higher scores. Contrarily, in the low-risk group, activated dendritic cells, M1 macrophages, mast resting cells, and monocytes had significantly higher scores. In the high-risk group, LSECtin was overexpressed. In the low-risk group, PD-L1 was overexpressed. Moreover, high-risk patients may benefit more from AZ628.
In conclusion, prognosis prediction of patients with KIRC and new insights for immunotherapy are provided by the m6A-related lncRNA prognostic signature.
肾透明细胞癌(KIRC)缺乏有效的预后生物标志物,长链非编码RNA(lncRNA)的N6-甲基腺苷(m6A)修饰在KIRC中的作用及机制仍不清楚。
我们从TCGA数据库中提取了标准mRNA测序数据和临床数据。通过Lasso回归和Cox回归获得预后风险模型。我们将样本随机分为训练集和测试集,每组各占一半病例。基于训练集的Lasso回归和Cox回归构建预后风险特征;使用R包“glmnet”计算风险评分。根据预后风险评分的中位数,为每位患者计算风险评分,并将所有KIRC样本分为高风险组和低风险组。然后,建立高风险和低风险亚型,并在测试集和整个采样数据集中评估其预后、临床特征和免疫浸润微环境。通过受试者工作特征曲线分析证实了预后模型的可靠性。
我们发现了28个与预后相关的m6A修饰lncRNA,并建立了一个与m6A修饰lncRNA相关的预后特征。风险评分=015813.1(0.0086)+2(-0.0101)+00173(0.0309)+5(-0.0146)+1(0.0043)。该特征显示出比其他临床指标更好的预测能力,包括肿瘤淋巴结转移分类(TNM)、组织学和病理分期。在高风险组中,M0巨噬细胞、CD8+T细胞和调节性T细胞的评分显著更高。相反,在低风险组中,活化树突状细胞、M1巨噬细胞、静息肥大细胞和单核细胞的评分显著更高。在高风险组中,LSECtin过表达。在低风险组中,PD-L1过表达。此外,高风险患者可能从AZ628中获益更多。
总之,与m6A修饰lncRNA相关的预后特征为KIRC患者的预后预测和免疫治疗提供了新的见解。