Supplementary Tables – Developing an immune signature for triple‑negative breast cancer to predict prognosis and immune checkpoint inhibitor

<b>Supplementary Table S1</b>. Developing an immune signature for triple‑negative breast cancer to predict prognosis and immune checkpoint inhibitor <i>R packages in the study</i> <b>Supplementary Table S2</b>. Developing an immune signature for triple‑negative breast cancer to predict prognosis and immune checkpoint inhibitor <i>66 prognostic IRGs of IPRS</i> <b>Supplementary Table S3</b>. Developing an immune signature for triple‑negative breast cancer to predict prognosis and immune checkpoint inhibitor <i>Multivariate Cox regression for IPRS</i> <b>Supplementary Table S4</b>. Developing an immune signature for triple‑negative breast cancer to predict prognosis and immune checkpoint inhibitor <i>Pathway enrichment analysis for 66 IRGs including KEGG and GO database</i>**补充表S1**：构建三阴性乳腺癌（triple-negative breast cancer, TNBC）免疫特征以预测预后及免疫检查点抑制剂（immune checkpoint inhibitor, ICI）相关的本研究所用R软件包（R packages） **补充表S2**：构建三阴性乳腺癌免疫特征以预测预后及免疫检查点抑制剂相关的免疫预后风险特征（IPRS）的66个预后相关性免疫基因（Immune-Related Genes, IRGs） **补充表S3**：构建三阴性乳腺癌免疫特征以预测预后及免疫检查点抑制剂相关的免疫预后风险特征（IPRS）的多因素Cox回归分析结果 **补充表S4**：构建三阴性乳腺癌免疫特征以预测预后及免疫检查点抑制剂相关的66个免疫相关基因（Immune-Related Genes, IRGs）的通路富集分析，涵盖京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genomes, KEGG）与基因本体（Gene Ontology, GO）数据库