Department of Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Department of Gynecology Oncology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Front Immunol. 2022 Sep 15;13:951459. doi: 10.3389/fimmu.2022.951459. eCollection 2022.
The aging microenvironment serves important roles in cancers. However, most studies focus on circumscribed hot spots such as immunity and metabolism. Thus, it is well ignored that the aging microenvironment contributes to the proliferation of tumor. Herein, we established three prognosis-distinctive aging microenvironment subtypes, including AME1, AME2, and AME3, based on aging-related genes and characterized them with "Immune Exclusion," "Immune Infiltration," and "Immune Intermediate" features separately. AME2-subtype tumors were characterized by specific activation of immune cells and were most likely to be sensitive to immunotherapy. AME1-subtype tumors were characterized by inhibition of immune cells with high proportion of Catenin Beta 1 (CTNNB1) mutation, which was more likely to be insensitive to immunotherapy. Furthermore, we found that CTNNB1 may inhibit the expression of C-C Motif Chemokine Ligand 19 (), thus restraining immune cells and attenuating the sensitivity to immunotherapy. Finally, we also established a robust aging prognostic model to predict the prognosis of patients with hepatocellular carcinoma. Overall, this research promotes a comprehensive understanding about the aging microenvironment and immunity in hepatocellular carcinoma and may provide potential therapeutic targets for immunotherapy.
衰老微环境在癌症中起着重要作用。然而,大多数研究都集中在免疫和代谢等有限的热点上。因此,人们很容易忽视衰老微环境有助于肿瘤增殖。在此,我们基于与衰老相关的基因建立了三种具有不同预后特征的衰老微环境亚型,包括 AME1、AME2 和 AME3,并分别用“免疫排斥”、“免疫浸润”和“免疫中间”特征来描述它们。AME2 亚型肿瘤的特征是免疫细胞特异性激活,最有可能对免疫治疗敏感。AME1 亚型肿瘤的特征是免疫细胞抑制,CTNNB1 突变比例高,对免疫治疗不太敏感。此外,我们发现 CTNNB1 可能抑制 C-C 基序趋化因子配体 19()的表达,从而抑制免疫细胞,降低对免疫治疗的敏感性。最后,我们还建立了一个稳健的衰老预后模型来预测肝细胞癌患者的预后。总的来说,这项研究促进了对肝细胞癌衰老微环境和免疫的全面理解,并可能为免疫治疗提供潜在的治疗靶点。