China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China.
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Int J Mol Sci. 2021 Sep 27;22(19):10390. doi: 10.3390/ijms221910390.
Apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) has been identified as a group of enzymes that catalyze cytosine deamination in single-stranded (ss) DNA to form uracil, causing somatic mutations in some cancers. We analyzed the APOBEC3 family in 33 TCGA cancer types and the results indicated that APOBEC3s are upregulated in multiple cancers and strongly correlate with prognosis, particularly in low grade glioma (LGG). Then we constructed a prognostic model based on family expression in LGG where the APOBEC3 family signature is an accurate predictive model (AUC of 0.85). Gene mutation, copy number variation (CNV), and a differential gene expression (DEG) analysis were performed in different risk groups, and the weighted gene co-expression network analysis (WGCNA) was employed to clarify the role of various members in LGG; CIBERSORT algorithm was deployed to evaluate the landscape of LGG immune infiltration. We found that upregulation of the APOBEC3 family expression can strengthen Ras/MAPK signaling pathway, promote tumor progression, and ultimately reduce the treatment benefits of Raf inhibitors. Moreover, the APOBEC3 family was shown to enhance the immune response mediated by myeloid cells and interferon gamma, as well as PD-L1 and PD-L2 expression, implying that they have immunotherapy potential. Therefore, the APOBEC3 signature enables an efficient assessment of LGG patient survival outcomes and expansion of clinical benefits by selecting appropriate individualized treatment strategies.
载脂蛋白 B mRNA 编辑酶催化多肽样 3(APOBEC3)已被鉴定为一组能在单链 DNA 中催化胞嘧啶脱氨酶,将其转化为尿嘧啶的酶,导致一些癌症发生体细胞突变。我们分析了 33 种 TCGA 癌症类型中的 APOBEC3 家族,结果表明 APOBEC3 在多种癌症中上调,与预后强烈相关,尤其是在低级别胶质瘤(LGG)中。然后,我们基于 LGG 中家族表达构建了一个预后模型,其中 APOBEC3 家族特征是一个准确的预测模型(AUC 为 0.85)。在不同风险组中进行了基因突变、拷贝数变异(CNV)和差异基因表达(DEG)分析,并采用加权基因共表达网络分析(WGCNA)阐明了各种成员在 LGG 中的作用;采用 CIBERSORT 算法评估了 LGG 免疫浸润的景观。我们发现,APOBEC3 家族表达的上调可以增强 Ras/MAPK 信号通路,促进肿瘤进展,最终降低 Raf 抑制剂的治疗效果。此外,APOBEC3 家族被证明可以增强髓样细胞和干扰素 γ介导的免疫反应,以及 PD-L1 和 PD-L2 的表达,表明它们具有免疫治疗的潜力。因此,APOBEC3 特征可以通过选择适当的个体化治疗策略,有效地评估 LGG 患者的生存结果并扩大临床获益。