Department of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an, China.
Department of Ambulatory Surgery Center, Xijing Hospital, Air Force Medical University, Xi'an, China.
Front Immunol. 2021 Nov 5;12:769425. doi: 10.3389/fimmu.2021.769425. eCollection 2021.
Pancreatic cancer (PAAD) is one of the most malignant cancers and immune microenvironment has been proved to be involved in pathogenesis of PAAD. m6A modification, related to the expression of m6A regulators, participates in the development of multiple cancers. However, the correlation between m6A regulators and immune microenvironment was largely unknown in PAAD. And because of the small sample size of pancreatic cancer in the TCGA database, it is not enough to draw a convincing conclusion. In the present study, we downloaded seven pancreatic cancer datasets with survival data and removed batch effects among these datasets to be used as the PAAD cohort to analyze the immune landscape of PAAD and the expression pattern of m6A regulators and divided the integrated dataset into cluster 1 and cluster 2 by consensus clustering for m6A regulators. Lower m6A regulators were found to be related to higher immune cell infiltration and a better survival. Moreover, we identified six m6A regulators and constructed the prognostic signature of m6A regulators. Patients with low-risk score had a higher response to immune checkpoint inhibitor and a longer overall survival. To figure out the underlying mechanism, we analyzed the cancer immunity cycle, most altered genes, gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) in risk subtypes. In summary, the present study proved m6A regulators modulated the PAAD immune microenvironment. And risk scores served as predictive indicator for immunotherapy and played a prognostic role for PAAD patients. Our study provided novel therapeutic targets to improve immunotherapy efficacy.
胰腺癌(PAAD)是最恶性的癌症之一,免疫微环境已被证明参与了 PAAD 的发病机制。m6A 修饰与 m6A 调节因子的表达有关,参与了多种癌症的发展。然而,m6A 调节因子与免疫微环境之间的相关性在 PAAD 中知之甚少。并且由于 TCGA 数据库中胰腺癌的样本量较小,不足以得出令人信服的结论。在本研究中,我们下载了七个具有生存数据的胰腺癌数据集,并去除了这些数据集中的批次效应,将其作为 PAAD 队列用于分析 PAAD 的免疫景观以及 m6A 调节因子的表达模式,并通过共识聚类将整合数据集分为聚类 1 和聚类 2 m6A 调节因子。较低的 m6A 调节因子与更高的免疫细胞浸润和更好的生存相关。此外,我们鉴定了六个 m6A 调节因子,并构建了 m6A 调节因子的预后特征。低风险评分的患者对免疫检查点抑制剂的反应更高,总生存期更长。为了弄清楚潜在的机制,我们分析了风险亚型中的癌症免疫循环、最改变的基因、基因集富集分析(GSEA)和基因集变异分析(GSVA)。总之,本研究证明了 m6A 调节因子调节了 PAAD 的免疫微环境。并且风险评分可作为免疫治疗的预测指标,并对 PAAD 患者具有预后作用。我们的研究为提高免疫治疗效果提供了新的治疗靶点。