Additional file 1 of From tobacco smoking to cancer mutational signature: a mediation analysis strategy to explore the role of epigenetic changes

Additional file 1: Table S1. The sample size for each cancer from TCGA. Table S2. A collection of candidate blood-based methylations at CpG sites reported from five previous epigenome wide association studies. Table S3. A list of 374 candidate blood-based methylation CpG sites and genes identified from both discovery and replication studies at an adjusted P < 0.05. Table S4. Associations between smoking-associated mutational signature and expression of candidate genes for each cancer type (P < 0.05). Table S5. Associations between tobacco smoking and expression of candidate genes and as methylation of candidate CpG sites. Table S6. Association of expression of candidate genes and their isoforms with methylation at each CpG site. Table S7. Correlation between expressions of AHRR and its isoforms. Table S8. Cox regression analysis between gene expression and overall survival in lung cancer patients. Table S9. Associations between smoking-associated mutational signature and predicted neoantigen load for each cancer type.

附加文件1：表S1。TCGA中各癌症类型的样本量。表S2。既往五项表观基因组全关联研究报道的基于血液的CpG位点（CpG site）候选甲基化位点集合。表S3。经校正P值<0.05的条件下，从发现及验证研究中筛选得到的374个基于血液的甲基化CpG位点及对应基因列表。表S4。各癌症类型中吸烟相关突变特征与候选基因表达的关联分析（P<0.05）。表S5。烟草吸烟与候选基因表达及候选CpG位点甲基化水平的关联分析。表S6。候选基因及其转录本亚型的表达与各CpG位点甲基化水平的关联分析。表S7。AHRR基因及其转录本亚型的表达相关性分析。表S8。肺癌患者基因表达与总生存期的Cox回归分析。表S9。各癌症类型中吸烟相关突变特征与预测新抗原负荷的关联分析。