Dong Jiawei, Wang Fang, Gao Xin, Zhao Hongtao, Zhang Jiheng, Wang Nan, Liu Zhihui, Yan Xiuwei, Jin Jiaqi, Ba Yixu, Ma Shuai, Du Jianyang, Ji Hang, Hu Shaoshan
Cancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Oncol. 2023 Jan 16;12:977251. doi: 10.3389/fonc.2022.977251. eCollection 2022.
Cancer-associated fibroblasts (CAFs) are vital components of prominent cellular components in lower-grade gliomas (LGGs) that contribute to LGGs' progression, treatment resistance, and immunosuppression. Epigenetic modification and immunity have significant implications for tumorigenesis and development.
We combined aberrant methylation and CAFs abundances to build a prognostic model and the impact on the biological properties of LGGs. Grouping based on the median CAFs abundances score of samples in the TCGA-LGGs dataset, differentially expressed genes and aberrantly methylated genes were combined for subsequent analysis.
We identified five differentially methylated and expressed genes (LAT32, SWAP70, GSAP, EMP3, and SLC2A10) and established a prognostic gene signature validated in the CGGA-LGGs dataset. Immunohistochemistry (IHC) and in vitro tests were performed to verify these expressions. The high-risk group increased in tumor-promoting immune cells and tumor mutational burden. Notably, risk stratification had different ICB sensitivities in LGGs, and there were also significant sensitivity differences for temozolomide and the other three novel chemotherapeutic agents.
Our study reveals characteristics of CAFs in LGGs, refines the direct link between epigenetics and tumor stroma, and might provide clinical implications for guiding tailored anti-CAFs therapy in combination with immunotherapy for LGGs patients.
癌症相关成纤维细胞(CAFs)是低级别胶质瘤(LGGs)中主要细胞成分的重要组成部分,其促成了LGGs的进展、治疗抵抗和免疫抑制。表观遗传修饰和免疫对肿瘤的发生和发展具有重要意义。
我们结合异常甲基化和CAFs丰度构建了一个预后模型以及其对LGGs生物学特性的影响。基于TCGA-LGGs数据集中样本的CAFs丰度得分中位数进行分组,将差异表达基因和异常甲基化基因合并用于后续分析。
我们鉴定出五个差异甲基化和表达的基因(LAT32、SWAP70、GSAP、EMP3和SLC2A10),并建立了在CGGA-LGGs数据集中得到验证的预后基因特征。进行了免疫组织化学(IHC)和体外试验以验证这些表达。高风险组中促肿瘤免疫细胞和肿瘤突变负担增加。值得注意的是,风险分层在LGGs中对免疫检查点阻断(ICB)具有不同的敏感性,并且对于替莫唑胺和其他三种新型化疗药物也存在显著的敏感性差异。
我们的研究揭示了LGGs中CAFs的特征,细化了表观遗传学与肿瘤基质之间的直接联系,并可能为指导针对LGGs患者的定制化抗CAFs治疗联合免疫治疗提供临床意义。