Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
North China University of Science and Technology, TangShan, 063210, China.
Sci Rep. 2023 Mar 4;13(1):3661. doi: 10.1038/s41598-023-30865-9.
Methylation of RNA plays an important role in cancer. Classical forms of such modifications include N6-methyladenine (m6A), 5-methylcytosine (m5C), and N1-methyladenine (m1A). Methylation-regulated long non-coding (lnc) RNAs are involved in various biological processes, such as tumor proliferation, apoptosis, immune escape, invasion, and metastasis. Therefore, we performed an analysis of transcriptomic and clinical data of pancreatic cancer samples in The Cancer Genome Atlas (TCGA). Using the co-expression method, we summarized 44 m6A/m5C/m1A-related genes and obtained 218 methylation-associated lncRNAs. Next, with COX regression, we screened 39 lncRNAs that are strongly associated with prognosis and found that their expression differed significantly between normal tissues and pancreatic cancer samples (P < 0.001). We then used the least absolute shrinkage and selection operator (LASSO) to construct a risk model comprising seven lncRNAs. In validation set, the nomogram generated by combining clinical characteristics accurately predicted the survival probability of pancreatic cancer patients at 1, 2, and 3 years after diagnosis (AUC = 0.652, 0.686, and 0.740, respectively). Tumor microenvironment analysis showed that the high-risk group had significantly more resting memory CD4 T cells, M0 macrophages, and activated dendritic cells and fewer naïve B cells, plasma cells, and CD8 T cells than the low-risk group (both P < 0.05). Most immune-checkpoint genes were significantly different between the high- and low-risk groups (P < 0.05). The Tumor Immune Dysfunction and Exclusion score showed that high-risk patients benefited more from treatment with immune checkpoint inhibitors (P < 0.001). Overall survival was also lower in high-risk patients with more tumor mutations than in low-risk patients with fewer mutations (P < 0.001). Finally, we explored the sensitivity of the high- and low-risk groups to seven candidate drugs. Our findings indicated that m6A/m5C/m1A-associated lncRNAs are potentially useful biomarkers for the early diagnosis and estimating the prognosis of, and ascertaining the responses to immunotherapy in, patients with pancreatic cancer.
RNA 甲基化在癌症中起着重要作用。这种修饰的经典形式包括 N6-甲基腺嘌呤(m6A)、5-甲基胞嘧啶(m5C)和 N1-甲基腺嘌呤(m1A)。受甲基化调控的长非编码(lnc)RNA 参与多种生物学过程,如肿瘤增殖、凋亡、免疫逃逸、侵袭和转移。因此,我们对癌症基因组图谱(TCGA)中胰腺癌样本的转录组学和临床数据进行了分析。使用共表达方法,我们总结了 44 个 m6A/m5C/m1A 相关基因,并获得了 218 个与甲基化相关的 lncRNA。接下来,我们通过 COX 回归筛选出 39 个与预后密切相关的 lncRNA,发现其在正常组织和胰腺癌样本中的表达差异有统计学意义(P<0.001)。然后,我们使用最小绝对收缩和选择算子(LASSO)构建了一个包含 7 个 lncRNA 的风险模型。在验证集中,由临床特征组合生成的列线图能够准确预测胰腺癌患者诊断后 1、2、3 年的生存概率(AUC=0.652、0.686 和 0.740)。肿瘤微环境分析表明,高风险组的静息记忆 CD4 T 细胞、M0 巨噬细胞和活化树突状细胞显著增加,而幼稚 B 细胞、浆细胞和 CD8 T 细胞显著减少(均 P<0.05)。高风险组和低风险组之间大多数免疫检查点基因差异显著(P<0.05)。肿瘤免疫功能障碍和排斥评分表明,高风险患者从免疫检查点抑制剂治疗中获益更多(P<0.001)。高危患者的肿瘤突变较多,总生存率低于低危患者的肿瘤突变较少(P<0.001)。最后,我们探索了高低风险组对 7 种候选药物的敏感性。我们的研究结果表明,m6A/m5C/m1A 相关 lncRNA 可能是胰腺癌早期诊断、预后评估和免疫治疗反应预测的有价值的生物标志物。