Additional file 1 of Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

Additional file 1: Fig. S1. Gene expression rank calculation workflow. Fig. S2. Tumor immunogenic signature discovery workflow. Fig. S3. Effects of TIGS category, tumor type, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S4. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on melanoma survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S5. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on lung cancer (NSCLC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S6. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on kidney cancer (RCC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S7. Clinical response rates in the retrospective cohort for each TIGS subgroup when used in combination with TMB and PD-L1 IHC. Fig. S8. Effects of TIGS used in combination with cell proliferation category, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S9. Retrospective cohort combining TIGS and cell proliferation to determine survival in melanoma. Fig. S10. Retrospective cohort combining TIGS and cell proliferation to determine survival in NSCLC. Fig. S11. Retrospective cohort combining TIGS and cell proliferation to determine survival in RCC.

附加文件1：补充图S1 基因表达秩次计算流程。补充图S2 肿瘤免疫原性特征挖掘流程。补充图S3 经多因素考克斯比例风险模型分析后，回顾性队列中肿瘤免疫原性特征（Tumor Immunogenic Signature，TIGS）分类、肿瘤类型、性别、年龄、肿瘤突变负荷（TMB）状态及PD-L1免疫组化（PD-L1 IHC）对患者生存的影响。补充图S4 经多因素考克斯比例风险模型分析后，回顾性队列中TIGS分类、性别、年龄、TMB状态及PD-L1 IHC对黑色素瘤患者生存的影响。补充图S5 经多因素考克斯比例风险模型分析后，回顾性队列中TIGS分类、性别、年龄、TMB状态及PD-L1 IHC对肺癌（非小细胞肺癌，NSCLC）患者生存的影响。补充图S6 经多因素考克斯比例风险模型分析后，回顾性队列中TIGS分类、性别、年龄、TMB状态及PD-L1 IHC对肾细胞癌（RCC）患者生存的影响。补充图S7 回顾性队列中，TIGS各亚组联合TMB与PD-L1 IHC检测的临床应答率。补充图S8 经多因素考克斯比例风险模型分析后，回顾性队列中联合细胞增殖分类的TIGS、性别、年龄、TMB状态及PD-L1 IHC对患者生存的影响。补充图S9 回顾性队列中联合TIGS与细胞增殖分类评估黑色素瘤患者生存情况。补充图S10 回顾性队列中联合TIGS与细胞增殖分类评估非小细胞肺癌患者生存情况。补充图S11 回顾性队列中联合TIGS与细胞增殖分类评估肾细胞癌患者生存情况。