Zhang Yundi, Zhang Ke, Gong Haoming, Li Qin, Man Lajie, Jin Qingchang, Zhang Lin, Li Song
National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of General Practice, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Front Cell Dev Biol. 2022 Feb 10;10:807129. doi: 10.3389/fcell.2022.807129. eCollection 2022.
-methyladenosine (mA) is a critical epigenetic modification for tumor malignancies, but its role in regulating the tumor microenvironments (TMEs) has not been fully studied. By integrating multiple data sets and multi-omics data, we comprehensively evaluated the mA "writers," "erasers," and "readers" in colorectal cancer and their association with TME characteristics. The mA regulator genes showed specific patterns in co-mutation, copy number variation, and expression. Based on the transcriptomic data of the mA regulators and their correlated genes, two types of subtyping systems, mACluster and mACluster, were developed. The clusters were distinct in pathways (metabolism/inflammation/extracellular matrix and interaction), immune phenotypes (immune-excluded/immune-inflamed/immune-suppressive), TME cell composition (lack immune and stromal cells/activated immune cells/stromal and immune-suppressive cells), stroma activities, and survival outcomes. We also established an mAscore associated with molecular subgroups, microsatellite instability, DNA repair status, mutation burdens, and survival and predicted immunotherapy outcomes. In conclusion, our work revealed a close association between mA modification and TME formation. Evaluating mA in cancer has helped us comprehend the TME status, and targeting mA in tumor cells might help modulate the TME and improve tumor therapy and immunotherapy.
N6-甲基腺苷(mA)是肿瘤恶性发展的一种关键表观遗传修饰,但其在调节肿瘤微环境(TME)中的作用尚未得到充分研究。通过整合多个数据集和多组学数据,我们全面评估了结直肠癌中的mA“写入器”“擦除器”和“读取器”及其与TME特征的关联。mA调节基因在共突变、拷贝数变异和表达方面呈现出特定模式。基于mA调节因子及其相关基因的转录组数据,开发了两种亚型分类系统,即mACluster和mACluster。这些簇在通路(代谢/炎症/细胞外基质和相互作用)、免疫表型(免疫排除/免疫炎症/免疫抑制)、TME细胞组成(缺乏免疫和基质细胞/活化免疫细胞/基质和免疫抑制细胞)、基质活性和生存结果方面存在差异。我们还建立了一个与分子亚组、微卫星不稳定性、DNA修复状态、突变负担和生存相关的mA评分,并预测了免疫治疗结果。总之,我们的工作揭示了mA修饰与TME形成之间的密切关联。评估癌症中的mA有助于我们了解TME状态,靶向肿瘤细胞中的mA可能有助于调节TME并改善肿瘤治疗和免疫治疗。