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N6-甲基腺苷调节因子介导的免疫基因可识别乳腺癌免疫亚型并预测免疫治疗疗效。

N6-methyladenosine Regulator-Mediated Immune Genes Identify Breast Cancer Immune Subtypes and Predict Immunotherapy Efficacy.

作者信息

Zhang Meng-Meng, Lin Yi-Lin, Zeng Wen-Feng, Li Yang, Yang Yang, Liu Miao, Ye Ying-Jiang, Jiang Ke-Wei, Wang Shu, Wang Shan

机构信息

Department of Breast Surgery, Peking University People's Hospital, Beijing, China.

Laboratory of Surgical Oncology, Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Peking University People's Hospital, Beijing, China.

出版信息

Front Genet. 2021 Dec 17;12:790888. doi: 10.3389/fgene.2021.790888. eCollection 2021.

DOI:10.3389/fgene.2021.790888
PMID:34976022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8718791/
Abstract

Breast cancer (BRCA) is a heterogeneous malignancy closely related to the tumor microenvironment (TME) cell infiltration. 6-methyladenosine (m6A) modification of mRNA plays a crucial regulator in regulating the immune microenvironment of BRCA. Immunotherapy represents a paradigm shift in BRCA treatment; however, lack of an appropriate approach for treatment evaluation is a significant issue in this field. In this study, we attempted to establish a prognostic signature of BRCA based on m6A-related immune genes and to investigate the potential association between prognosis and immunotherapy. We comprehensively evaluated the m6A modification patterns of BRCA tissues and non-tumor tissues from The Cancer Genome Atlas and the modification patterns with TME cell-infiltrating characteristics. Overall, 1,977 TME-related genes were identified in the literature. Based on LASSO and Cox regression analyses, the m6A-related immune score (m6A-IS) was established to characterize the TME of BRCA and predict prognosis and efficacy associated with immunotherapy. We developed an m6A-IS to effectively predict immune infiltration and the prognosis of patients with BRCA. The prognostic score model represented robust predictive performance in both the training and validation cohorts. The low-m6A-IS group was characterized by enhanced antigen presentation and improved immune checkpoint expression, further indicating sensitivity to immunotherapy. Compared with the patients in the high-score group, the overall survival rate after treatment in the low-score group was significantly higher in the testing and validation cohorts. We constructed an m6A-IS system to examine the ability of the m6A signature to predict the infiltration of immune cells of the TME in BRCA, and the m6A-IS system acted as an independent prognostic biomarker that predicts the response of patients with BRCA in immunotherapy.

摘要

乳腺癌(BRCA)是一种异质性恶性肿瘤,与肿瘤微环境(TME)细胞浸润密切相关。mRNA的N6-甲基腺苷(m6A)修饰在调节BRCA的免疫微环境中起着关键调节作用。免疫疗法代表了BRCA治疗的范式转变;然而,缺乏合适的治疗评估方法是该领域的一个重大问题。在本研究中,我们试图基于m6A相关免疫基因建立BRCA的预后特征,并研究预后与免疫疗法之间的潜在关联。我们全面评估了来自癌症基因组图谱的BRCA组织和非肿瘤组织的m6A修饰模式以及具有TME细胞浸润特征的修饰模式。总体而言,从文献中鉴定出1977个与TME相关的基因。基于LASSO和Cox回归分析,建立了m6A相关免疫评分(m6A-IS)以表征BRCA的TME并预测与免疫疗法相关的预后和疗效。我们开发了一种m6A-IS来有效预测BRCA患者的免疫浸润和预后。预后评分模型在训练和验证队列中均表现出强大的预测性能。低m6A-IS组的特征是抗原呈递增强和免疫检查点表达改善,进一步表明对免疫疗法敏感。与高分组合的患者相比,低分组合在测试和验证队列中治疗后的总生存率显著更高。我们构建了一个m6A-IS系统来检验m6A特征预测BRCA中TME免疫细胞浸润的能力,并且m6A-IS系统作为一个独立的预后生物标志物,可预测BRCA患者在免疫疗法中的反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bd/8718791/47635439e6e5/fgene-12-790888-g008.jpg
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