Additional file 1 of Polyamine metabolism patterns characterized tumor microenvironment, prognosis, and response to immunotherapy in colorectal cancer

Additional file 1: Table S1. Summary of Polyamine Meatabolismrelated genes. Table S2. Samples clustering in CRC RNA-seq meta cohorts. Table S3. List of 10 major signaling pathway genes associated with cancer. Table S4. ssGSEA results for immune cells of meta cohort. Table S5. Differental PAM related genes for PAMcluster. Table S6. The gene of construction PAMscore. Table S7. Samples clustering in CRC RNA-seq meta cohorts. Table S8. The gene of construction PAMscore. PAMscore subgroup analysis by constructing a PAM scoring model. Table S9. Drug susceptibility results corresponding to PAMscore model genes. Table S10. Importance results of random forest screening. Table S11. Communication of immune cell based on PAMSscore model genes.

附加文件1：表S1 多胺代谢相关基因汇总。表S2 结直肠癌（Colorectal Cancer, CRC）RNA测序元队列中的样本聚类结果。表S3 与癌症相关的10条主要信号通路基因列表。表S4 元队列免疫细胞的单样本基因集富集分析（single-sample Gene Set Enrichment Analysis, ssGSEA）结果。表S5 PAM聚类相关的差异基因。表S6 构建PAM评分所用的基因。表S7 结直肠癌RNA测序元队列中的样本聚类结果。表S8 构建PAM评分所用的基因；通过构建PAM评分模型开展PAM评分亚组分析。表S9 对应PAM评分模型基因的药物敏感性分析结果。表S10 随机森林筛选得到的特征重要性结果。表S11 基于PAM评分模型基因的免疫细胞互作分析结果。