Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA; Irell & Manella Graduate School of Biological Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA.
EBioMedicine. 2024 Mar;101:105035. doi: 10.1016/j.ebiom.2024.105035. Epub 2024 Feb 23.
While mutation-derived neoantigens are well recognized in generating anti-tumour T cell response, increasing evidences highlight the complex association between tumour mutation burden (TMB) and tumour infiltrating lymphocytes (TILs). The exploration of non-TMB determinants of active immune response could improve the prognosis prediction and provide guidance for current immunotherapy.
The transcriptomic and whole exome sequence data in The Cancer Genome Atlas were used to examine the relationship between TMB and exhausted CD8+ T cells (Tex), as an indicator of tumour antigen-specific T cells across nine major cancer types. Computational clustering analysis was performed on 4510 tumours to identify different immune profiles. NanoString gene expression analysis and single cell RNA-seq analysis using fresh human breast cancer were performed for finding validation.
TMB was found to be poorly correlated with active immune response in various cancer types. Patient clustering analysis revealed a group of tumours with abundant Tex but low TMB. In those tumours, we observed significantly higher expression of the stimulator of interferon genes (STING) signalling. Dendritic cells, particularly those of BATF3+ lineage, were also found to be essential for accumulation of Tex within tumours. Mechanistically, loss of genomic and cellular integrity, marked by decreased DNA damage repair, defective replication stress response, and increased apoptosis were shown to drive STING activation.
These results highlight that TMB alone does not fully predict tumour immune profiles, with STING signalling compensating for low TMB in non-hypermutated tumours to enhance anti-tumour immunity. Translating these results, STING agonists may benefit patients with non-hypermutated tumours. STING activation may serve as an additional biomarker to predict response to immune checkpoint blockades alongside TMB. Our research also unravelled the interplay between genomic instability and STING activation, informing potential combined chemotherapy targeting the axis of genomic integrity and immunotherapy.
City of Hope Christopher Family Endowed Innovation Fund for Alzheimer's Disease and Breast Cancer Research in honor of Vineta Christopher; Breast Cancer Alliance Early Career Investigator Award; National Cancer Institute of the National Institutes of Health under award number R01CA256989 and R01CA240392.
虽然突变衍生的新抗原在产生抗肿瘤 T 细胞反应方面得到了很好的认识,但越来越多的证据强调了肿瘤突变负担(TMB)与肿瘤浸润淋巴细胞(TIL)之间的复杂关联。探索主动免疫反应的非 TMB 决定因素可以改善预后预测,并为当前的免疫治疗提供指导。
利用癌症基因组图谱中的转录组和全外显子序列数据,研究 TMB 与耗尽的 CD8+T 细胞(Tex)之间的关系,Tex 是肿瘤抗原特异性 T 细胞在九种主要癌症类型中的一个指标。对 4510 个肿瘤进行计算聚类分析,以确定不同的免疫特征。使用新鲜的人乳腺癌进行 Nanostring 基因表达分析和单细胞 RNA-seq 分析,以寻找验证。
在各种癌症类型中,TMB 与活跃的免疫反应相关性较差。患者聚类分析显示出一组 Tex 丰富但 TMB 低的肿瘤。在这些肿瘤中,我们观察到干扰素基因刺激物(STING)信号显著上调。树突状细胞,特别是 BATF3+谱系的树突状细胞,也被发现是 Tex 在肿瘤内积累所必需的。从机制上讲,以 DNA 损伤修复减少、复制应激反应缺陷和细胞凋亡增加为特征的基因组和细胞完整性的丧失,被证明会驱动 STING 的激活。
这些结果强调了 TMB 不能完全预测肿瘤免疫特征,STING 信号在非高突变肿瘤中弥补了低 TMB,增强了抗肿瘤免疫。将这些结果转化为临床实践,STING 激动剂可能使非高突变肿瘤患者受益。STING 激活可能成为预测免疫检查点阻断治疗反应的另一个生物标志物,与 TMB 一起使用。我们的研究还揭示了基因组不稳定性与 STING 激活之间的相互作用,为针对基因组完整性轴和免疫治疗的联合化疗提供了信息。
为纪念 Vineta Christopher,克里斯托弗家族为阿尔茨海默病和乳腺癌研究设立的城市希望克里斯托弗创新基金;乳腺癌联盟早期职业研究员奖;美国国立卫生研究院国家癌症研究所授予的 R01CA256989 和 R01CA240392 号奖项。