Davoli Teresa, Uno Hajime, Wooten Eric C, Elledge Stephen J
Howard Hughes Medical Institute, Department of Genetics, Harvard Medical School, Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA.
Dana-Farber Cancer Institute, Boston, MA 02215-5450, USA.
Science. 2017 Jan 20;355(6322). doi: 10.1126/science.aaf8399.
Immunotherapies based on immune checkpoint blockade are highly effective in a subset of patients. An ongoing challenge is the identification of biomarkers that predict which patients will benefit from these therapies. Aneuploidy, also known as somatic copy number alterations (SCNAs), is widespread in cancer and is posited to drive tumorigenesis. Analyzing 12 human cancer types, we find that, for most, highly aneuploid tumors show reduced expression of markers of cytotoxic infiltrating immune cells, especially CD8 T cells, and increased expression of cell proliferation markers. Different types of SCNAs predict the proliferation and immune signatures, implying distinct underlying mechanisms. Using published data from two clinical trials of immune checkpoint blockade therapy for metastatic melanoma, we found that tumor aneuploidy inversely correlates with patient survival. Together with other tumor characteristics such as tumor mutational load, aneuploidy may thus help identify patients most likely to respond to immunotherapy.
基于免疫检查点阻断的免疫疗法在一部分患者中具有高效性。当前的一项挑战是识别能够预测哪些患者将从这些疗法中获益的生物标志物。非整倍体,也称为体细胞拷贝数改变(SCNAs),在癌症中广泛存在,并被认为可驱动肿瘤发生。通过分析12种人类癌症类型,我们发现,对于大多数癌症而言,高度非整倍体肿瘤显示出细胞毒性浸润免疫细胞标志物(尤其是CD8 T细胞)的表达降低,以及细胞增殖标志物的表达增加。不同类型的SCNAs可预测增殖和免疫特征,这意味着潜在机制不同。利用两项针对转移性黑色素瘤的免疫检查点阻断疗法临床试验的已发表数据,我们发现肿瘤非整倍体与患者生存率呈负相关。因此,与肿瘤突变负荷等其他肿瘤特征一起,非整倍体可能有助于识别最有可能对免疫疗法产生反应的患者。