Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Zhengzhou University, China.
Henan Gynecological diseases (Gynecology Oncology) Clinical Research Center, Zhengzhou, China.
Medicine (Baltimore). 2022 Jul 1;101(26):e29818. doi: 10.1097/MD.0000000000029818.
Recent studies have highlighted that N6-methyladenosine (m6A) plays a significant role in tumorigenicity and progression. However, the mechanism of m6A modifications in the tumor microenvironment (TME) immune cell infiltration in cervical cancer (CC) remains unclear. Clinical and RNA sequencing data of 25 m6A RNA methylation regulators were acquired from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. LASSO Cox regression analysis was used to generate a prognostic risk signature. m6A modification patterns were identified based on the expression of 25 m6A regulators, and their correlation with TME immune cell-infiltrating characterization was analyzed. Principal component analysis was used to construct an m6A-scoring signature (m6A score) to evaluate the m6A modification patterns of individual CC samples and guide the selection of more effective immunotherapeutic strategies. Genetic and expression alterations of 25 m6A regulators were highly heterogeneous between CC and normal tissues. METTL14 and IGF2BP1 were selected to conduct the prognostic risk signature. Three m6A modification patterns were identified in 659 CC samples, which were associated with distinct clinical outcomes and biological pathways. The TME immune cell-infiltrating characterization of the three m6A modification patterns was highly consistent with 3 tumor immune phenotypes, including immune-excluded, immune-inflamed, and immune-desert phenotypes. Due to the heterogeneity of m6A modification patterns, an m6A scoring signature was established to evaluate the m6A modification patterns of individual CC samples. Univariate and multivariate Cox regression analyses revealed that the m6A score is a robust and independent prognostic biomarker for assessing the prognosis of CC patients. A low m6A score, characterized by higher somatic mutation and higher expression of proliferation-related and DNA repair-related genes, indicated poor overall survival. Activation of immune infiltration was exhibited by the high m6A score, which was likely to have a good response and clinical benefits to antiPD-1/L1 immunotherapy. This study highlights the prognostic value of 25 m6A regulators in CC. The m6A modification is related to immune regulation and the formation of TME heterogeneity and complexity. An m6A scoring signature to clarify the individual m6A modification pattern could enhance our understanding of TME immune cell-infiltrating characterization and guide immunotherapy strategies.
最近的研究表明,N6-甲基腺苷(m6A)在肿瘤发生和进展中发挥着重要作用。然而,m6A 修饰在宫颈癌(CC)肿瘤微环境(TME)免疫细胞浸润中的机制尚不清楚。从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获取了 25 个 m6A RNA 甲基化调节剂的临床和 RNA 测序数据。使用 LASSO Cox 回归分析生成预后风险特征。基于 25 个 m6A 调节剂的表达确定 m6A 修饰模式,并分析其与 TME 免疫细胞浸润特征的相关性。主成分分析用于构建 m6A 评分特征(m6A 评分),以评估个体 CC 样本的 m6A 修饰模式,并指导更有效的免疫治疗策略的选择。CC 和正常组织之间 25 个 m6A 调节剂的遗传和表达改变高度异质。选择 METTL14 和 IGF2BP1 进行预后风险特征。在 659 个 CC 样本中鉴定出三种 m6A 修饰模式,它们与不同的临床结局和生物学途径相关。三种 m6A 修饰模式的 TME 免疫细胞浸润特征与三种肿瘤免疫表型高度一致,包括免疫排斥、免疫炎症和免疫荒漠表型。由于 m6A 修饰模式的异质性,建立了 m6A 评分特征来评估个体 CC 样本的 m6A 修饰模式。单因素和多因素 Cox 回归分析表明,m6A 评分是评估 CC 患者预后的稳健且独立的预后生物标志物。低 m6A 评分特征为体细胞突变较高和增殖相关及 DNA 修复相关基因表达较高,提示总体生存率较差。高 m6A 评分表现出免疫浸润的激活,可能对抗 PD-1/L1 免疫治疗有良好的反应和临床获益。本研究强调了 25 个 m6A 调节剂在 CC 中的预后价值。m6A 修饰与免疫调节以及 TME 异质性和复杂性的形成有关。m6A 评分特征来阐明个体 m6A 修饰模式可以增强我们对 TME 免疫细胞浸润特征的理解,并指导免疫治疗策略。