Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China.
Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China.
J Cell Mol Med. 2021 Jun;25(12):5434-5442. doi: 10.1111/jcmm.16553. Epub 2021 May 5.
Low-grade glioma (LGG) is an intracranial malignant tumour that mainly originates from astrocytes and oligodendrocytes. SUMOylation is one of the post-translational modifications but studies of SUMOylation in LGG is quite limited. Transcriptome data, single nucleotide variant (SNV) data and clinical data of LGG were derived from public databases. The differences between the expression of SUMOylation regulators in LGG and normal brain tissue were analysed. Cox regression was used to construct a prognostic model in the training cohort. Kaplan-Meier survival curves and ROC curves were plotted in the training and the validation cohort to evaluate the effectiveness of the prognostic model. GO and KEGG analyses were applied to preliminarily analyse the biological functions. Compared with normal brain tissue, SENP1 and SENP7 were up-regulated and SENP5 was down-regulated in LGG. SUMOylation regulators may be involved in functions such as mRNA splicing, DNA replication, ATPase activity and spliceosome. One prognostic model was established based on the 4 SUMOylation regulator-related signatures (RFWD3, MPHOSPH9, WRN and NUP155), which had a good predictive ability for overall survival. This study is expected to provide targets for the diagnosis and treatment of low-grade glioma.
低级别胶质瘤（LGG）是一种颅内恶性肿瘤，主要起源于星形胶质细胞和少突胶质细胞。SUMOylation 是翻译后修饰之一，但 LGG 中的 SUMOylation 研究相当有限。LGG 的转录组数据、单核苷酸变异（SNV）数据和临床数据均来自公共数据库。分析了 LGG 中 SUMOylation 调节因子的表达差异。在训练队列中使用 Cox 回归构建预后模型。在训练和验证队列中绘制 Kaplan-Meier 生存曲线和 ROC 曲线，以评估预后模型的有效性。GO 和 KEGG 分析用于初步分析生物学功能。与正常脑组织相比，SENP1 和 SENP7 在 LGG 中上调，而 SENP5 下调。SUMOylation 调节因子可能参与 mRNA 剪接、DNA 复制、ATPase 活性和剪接体等功能。基于 4 个 SUMOylation 调节因子相关特征（RFWD3、MPHOSPH9、WRN 和 NUP155）建立了一个预后模型，该模型对总生存期具有良好的预测能力。本研究有望为低级别胶质瘤的诊断和治疗提供新的靶点。
