The Ratio of Exhausted to Resident Infiltrating Lymphocytes Is Prognostic for Colorectal Cancer Patient Outcome

结直肠癌 医学 微卫星不稳定性 CD8型 免疫疗法 免疫系统 转录组 癌症研究 内科学 细胞毒性T细胞 癌症 T细胞 肿瘤科 肿瘤浸润淋巴细胞 腺癌 生物 免疫学 基因 基因表达 体外 等位基因 微卫星 生物化学
作者
Momeneh Foroutan,Ramyar Molania,Aline Pfefferle,Corina Behrenbruch,Sebastian Scheer,Axel Kallies,Terence P. Speed,Joseph Cursons,Nicholas D. Huntington
出处
期刊:Cancer immunology research [American Association for Cancer Research]
卷期号:9 (10): 1125-1140 被引量:29
标识
DOI:10.1158/2326-6066.cir-21-0137
摘要

Immunotherapy success in colorectal cancer is mainly limited to patients whose tumors exhibit high microsatellite instability (MSI). However, there is variability in treatment outcomes within this group, which is in part driven by the frequency and characteristics of tumor-infiltrating immune cells. Indeed, the presence of specific infiltrating immune-cell subsets has been shown to correlate with immunotherapy response and is in many cases prognostic of treatment outcome. Tumor-infiltrating lymphocytes (TIL) can undergo distinct differentiation programs, acquiring features of tissue-residency or exhaustion, a process during which T cells upregulate inhibitory receptors, such as PD-1, and lose functionality. Although residency and exhaustion programs of CD8+ T cells are relatively well studied, these programs have only recently been appreciated in CD4+ T cells and remain largely unknown in tumor-infiltrating natural killer (NK) cells. In this study, we used single-cell RNA sequencing (RNA-seq) data to identify signatures of residency and exhaustion in colorectal cancer-infiltrating lymphocytes, including CD8+, CD4+, and NK cells. We then tested these signatures in independent single-cell data from tumor and normal tissue-infiltrating immune cells. Furthermore, we used versions of these signatures designed for bulk RNA-seq data to explore tumor-intrinsic mutations associated with residency and exhaustion from TCGA data. Finally, using two independent transcriptomic datasets from patients with colon adenocarcinoma, we showed that combinations of these signatures, in particular combinations of NK-cell activity signatures, together with tumor-associated signatures, such as TGFβ signaling, were associated with distinct survival outcomes in patients with colon adenocarcinoma.
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