Additional file 9 of Molecular landscape of IDH-mutant astrocytoma and oligodendroglioma grade 2 indicate tumor purity as an underlying genomic factor

Additional file 9: Table S1. Data sources summary. Table S2. Copy number alternations of key glioma-related genes in the TCGA dataset. Table S3. Relative abundance of DNA damage repair signatures in the TCGA dataset. Table S4. Relative abundance of DNA damage repair related pathways in the TCGA dataset. Table S5. Comprehensive subcategories of intended IDH-mt astrocytoma and oligodendroglioma grade 2. Table S6. Differently expressed DNA methylation, microRNA and PRRP between IDH-mt astrocytoma and oligodendroglioma grade 2 in the TCGA dataset. Table S7. Wilcoxon test results on immune cells between astrocytoma and oligodendroglioma. Table S8. Wilcoxon test results on immune signatures between astrocytoma and oligodendroglioma. Table S9. The three machine learning models in identifying astrocytoma from oligodendroglioma. Table S10. Multivariable cox regression results for A–O Panel Classifier.

附加文件9：表S1 数据来源汇总。
表S2 癌症基因组图谱（The Cancer Genome Atlas，TCGA）数据集内关键胶质瘤相关基因的拷贝数变异。
表S3 TCGA数据集内DNA损伤修复特征的相对丰度。
表S4 TCGA数据集内DNA损伤修复相关通路的相对丰度。
表S5 拟议的Ⅱ级IDH突变型（IDH-mt）星形细胞瘤与少突胶质细胞瘤的综合亚分类。
表S6 TCGA数据集内Ⅱ级IDH突变型星形细胞瘤与少突胶质细胞瘤之间差异表达的DNA甲基化、微小RNA（microRNA）及PRRP。
表S7 星形细胞瘤与少突胶质细胞瘤之间免疫细胞的威尔科克森秩和检验结果。
表S8 星形细胞瘤与少突胶质细胞瘤之间免疫特征的威尔科克森秩和检验结果。
表S9 用于区分星形细胞瘤与少突胶质细胞瘤的三类机器学习模型。
表S10 星形细胞瘤-少突胶质细胞瘤分类器面板的多变量Cox回归分析结果。