Additional file 1: of Imprint of parity and age at first pregnancy on the genomic landscape of subsequent breast cancer

Table S1. Systematic multivariate analysis of mutational load comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S2. Systematic multivariate analysis of breast cancer driver SNVs comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S3. Systematic multivariate analysis of breast cancer driver SCNAs comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S4. Clinicopathological features of nulliparous and parous patients included in the RNAseq analysis. Table S5. Differential expression analysis between nulliparous and parous patients using DEseq2 on raw counts data and controlling for age at diagnosis, pathological stage, molecular subtypes by IHC, histological subtypes. Table S6. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between nulliparous and parous patients. Table S7. Differential expression analysis between early and late parous patients using DEseq2 on raw counts data and controlling for age at diagnosis, pathological stage, molecular subtypes by IHC, histological subtypes. Table S8. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between early and late parous patients. Table S9. Systematic multivariate analysis of TILs levels comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S10. Clinicopathological features of nulliparous and PABC patients. Table S11. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between nulliparous and PABC patients. (XLSX 366 kb)

表S1 未产妇与经产妇、早育产妇与晚育产妇、产后乳腺癌（PABC）与未产妇患者的突变负荷系统多变量分析
表S2 未产妇与经产妇、早育产妇与晚育产妇、产后乳腺癌（PABC）与未产妇患者的乳腺癌驱动性单核苷酸变异（Single Nucleotide Variants, SNVs）系统多变量分析
表S3 未产妇与经产妇、早育产妇与晚育产妇、产后乳腺癌（PABC）与未产妇患者的乳腺癌驱动性体细胞拷贝数变异（Somatic Copy Number Alterations, SCNAs）系统多变量分析
表S4 纳入RNA测序（RNA-seq）分析的未产妇与经产妇患者的临床病理特征
表S5 基于原始计数数据，通过DEseq2对未产妇与经产妇患者开展差异表达分析，并校正诊断年龄、病理分期、免疫组化（Immunohistochemistry, IHC）分子亚型及组织学亚型
表S6 采用通用基因集富集（GAGE）法，鉴定未产妇与经产妇患者间的显著富集通路
表S7 基于原始计数数据，通过DEseq2对早育产妇与晚育产妇患者开展差异表达分析，并校正诊断年龄、病理分期、免疫组化（Immunohistochemistry, IHC）分子亚型及组织学亚型
表S8 采用通用基因集富集（GAGE）法，鉴定早育产妇与晚育产妇患者间的显著富集通路
表S9 未产妇与经产妇、早育产妇与晚育产妇、产后乳腺癌（PABC）与未产妇患者的肿瘤浸润淋巴细胞（Tumor Infiltrating Lymphocytes, TILs）水平系统多变量分析
表S10 未产妇与产后乳腺癌（PABC）患者的临床病理特征
表S11 采用通用基因集富集（GAGE）法，鉴定未产妇与产后乳腺癌（PABC）患者间的显著富集通路
(XLSX 366 kb)