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免疫相关可变多聚腺苷酸化事件在癌症免疫治疗中的特征。

Characterization of Immune-Related Alternative Polyadenylation Events in Cancer Immunotherapy.

机构信息

Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

出版信息

Cancer Res. 2022 Oct 4;82(19):3474-3485. doi: 10.1158/0008-5472.CAN-22-1417.

DOI:10.1158/0008-5472.CAN-22-1417
PMID:35930727
Abstract

UNLABELLED

Alternative polyadenylation (APA) is an important posttranscriptional modification commonly involved in tumor development. However, the functional roles of APA in tumor immunity remain largely unknown. Here, we performed an in-depth analysis of the 3'UTR usage of protein-coding genes and tumor immune response in 10,303 tumor samples across 31 cancer types to develop the immune-related APA event (ImmAPA) score pipeline, an integrated algorithm to characterize the regulatory landscape of APA events in cancer immunity-related pathways. Tumor-specific ImmAPAs that strongly correlate with immune cell infiltration and immune checkpoint blockade (ICB) treatment-related biomarkers were identified. Among these ImmAPAs, the top-ranking COL1A1 3'UTR usage was strongly associated with worse prognosis and tumor immune evasion. Furthermore, a machine learning approach to construct an ICB-related ImmAPA score model predicted immunotherapy efficacy. Overall, the characterization of immune-related APA that corresponds to tumor progression and tumor immunity highlights the clinical utility of APA events as potential biomarkers in cancer immunotherapy.

SIGNIFICANCE

Elucidation of the landscape of immune-related alternative polyadenylation in cancer identifies alternative polyadenylation events that may play a role in immune modulation and immunotherapy efficacy.

摘要

未加标签

可变多聚腺苷酸化(APA)是一种常见的转录后修饰,通常参与肿瘤的发生发展。然而,APA 在肿瘤免疫中的功能作用在很大程度上仍不清楚。在这里,我们对 31 种癌症类型的 10303 个肿瘤样本中的蛋白质编码基因的 3'UTR 使用情况和肿瘤免疫反应进行了深入分析,开发了免疫相关 APA 事件(ImmAPA)评分分析流水线,这是一种用于描述癌症免疫相关途径中 APA 事件调控景观的综合算法。鉴定出与免疫细胞浸润和免疫检查点阻断(ICB)治疗相关生物标志物强烈相关的肿瘤特异性 ImmAPAs。在这些 ImmAPAs 中,排名最高的 COL1A1 3'UTR 使用情况与预后不良和肿瘤免疫逃逸密切相关。此外,一种用于构建 ICB 相关 ImmAPA 评分模型的机器学习方法预测了免疫治疗的疗效。总的来说,对与肿瘤进展和肿瘤免疫相对应的免疫相关 APA 的特征描述强调了 APA 事件作为癌症免疫治疗潜在生物标志物的临床实用性。

意义

阐明癌症中与免疫相关的可变多聚腺苷酸化景观,确定了可能在免疫调节和免疫治疗疗效中发挥作用的可变多聚腺苷酸化事件。

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