Additional file 7 of Convergent network effects along the axis of gene expression during prostate cancer progression

Additional file 7: Table S6. Integration analysis of 66 tumor samples. (a) Information (i.e. reference linking them to PCa, consistency between observed and reported effect and number of tumor samples with CNAs) for the first 10 highest-scoring proteins (those with largest average absolute FCs across all tumor specimens). (b) Consistently up-regulated genes in the high-grade tumors: for each of these genes, there is a significant up-regulation of its FCs after network smoothing in the group G4/5 compared to the group G1 in all three layers (CNA, mRNA and protein). (c) Consistently down-regulated genes in the high-grade tumors: for each of these genes, there is a significant down-regulation of its FCs after network smoothing in the group G4/5 compared to the group G1 in all three layers (CNA, mRNA and protein). (d) Chromosome information for the gene members of Network Component 1. (e) Mapping from gene symbols to STRING identifiers.

附加文件7：表S6。66份肿瘤样本的整合分析。(a) 排名前10位的高分蛋白质（即在所有肿瘤样本中平均绝对折叠变化（FC）最大的蛋白质）的相关信息，包括其与前列腺癌（PCa）的关联参考文献、观测效应与报道效应的一致性，以及携带拷贝数变异（CNA）的肿瘤样本数量。(b) 高级别肿瘤中的持续上调基因：相较于G1组，G4/5组在经过网络平滑处理后，其在拷贝数变异（CNA）、信使RNA（mRNA）和蛋白质三个分析层面的折叠变化（FC）均呈现显著上调。(c) 高级别肿瘤中的持续下调基因：相较于G1组，G4/5组在经过网络平滑处理后，其在拷贝数变异（CNA）、信使RNA（mRNA）和蛋白质三个分析层面的折叠变化（FC）均呈现显著下调。(d) 网络组件1所包含基因的染色体信息。(e) 基因符号到STRING数据库标识符的映射关系。