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端粒酶复合物成分的基因组、表观基因组和转录组特征:泛癌症分析。

Genomic, epigenomic, and transcriptomic signatures for telomerase complex components: a pan-cancer analysis.

机构信息

Department of Urologic Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.

Division of Hematology, Department of Medicine, Bioclinicum and Center for Molecular Medicine, Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden.

出版信息

Mol Oncol. 2023 Jan;17(1):150-172. doi: 10.1002/1878-0261.13324. Epub 2022 Oct 31.

Abstract

Telomerase activation is required for malignant transformation. Recent advances in high-throughput technologies have enabled the generation of complex datasets, thus providing alternative approaches to exploring telomerase biology more comprehensively, which has proven to be challenging due to the need for laborious assays required to test for telomerase activity. To solve these issues, several groups have analyzed TCGA pan-cancer tumor datasets by investigating telomerase reverse transcriptase (TERT), the catalytic subunit for telomerase activity, or its surrogates. However, telomerase is a multiunit complex containing not only TERT, but also numerus cofactors required for telomerase function. Here we determined genomic and molecular alterations of 10 well-characterized telomerase components in the TCGA and CCLE datasets. We calculated a telomerase score (TS) based on their expression profiles and clustered tumors into low, high, and intermediate subtypes. To validate the in silico analysis result, we used immunoblotting and telomerase assays. High TS subtypes were significantly associated with stemness, proliferation, epithelial to mesenchymal transition, hyperactivation of oncogenic signaling pathways, shorter patient survival, and infiltration of dysfunctional T-cells or poor response to immunotherapy. Copy number alterations in 10 telomerase components were widespread and associated with the level of their expression. Surprisingly, primary tumors and cancer cell lines frequently displayed a homozygous deletion of the TCAB1 gene, encoding a telomerase protein essential for telomerase trafficking, assembling, and function, as previously reported. However, tumors or cells carrying a TCAB1 deletion still exhibited telomerase activity comparable to or even higher than their wildtype counterparts. Collectively, applying telomerase component-based TS in complex datasets provided a robust tool for telomerase analyses. Our findings also reveal a tight connection between telomerase and other oncogenic signaling pathways; TCAB1 may acts as a dispensable telomerase component. Moreover, TS may serve as a useful biomarker to predict patient outcomes and response to immunotherapy.

摘要

端粒酶的激活是恶性转化所必需的。高通量技术的最新进展使得能够生成复杂的数据集,从而提供了更全面地探索端粒酶生物学的替代方法,由于需要进行费力的端粒酶活性检测实验,这一探索极具挑战性。为了解决这些问题,一些研究小组通过研究端粒酶逆转录酶(TERT),即端粒酶活性的催化亚基,或其替代物,对 TCGA 泛癌症肿瘤数据集进行了分析。然而,端粒酶是一个多单元复合物,不仅包含 TERT,还包含许多端粒酶功能所需的辅助因子。在这里,我们在 TCGA 和 CCLE 数据集中确定了 10 个经过充分表征的端粒酶成分的基因组和分子改变。我们根据它们的表达谱计算了端粒酶评分(TS),并将肿瘤聚类为低、高和中间亚型。为了验证计算机分析的结果,我们使用了免疫印迹和端粒酶检测。高 TS 亚型与干性、增殖、上皮间质转化、致癌信号通路的过度激活、患者生存时间缩短以及功能失调的 T 细胞浸润或对免疫治疗反应不良显著相关。10 个端粒酶成分的拷贝数改变很普遍,并与它们的表达水平相关。令人惊讶的是,正如之前报道的那样,初级肿瘤和癌细胞系经常显示出 TCAB1 基因的纯合缺失,该基因编码一种对端粒酶运输、组装和功能至关重要的端粒酶蛋白。然而,携带 TCAB1 缺失的肿瘤或细胞仍然表现出与野生型相当或甚至更高的端粒酶活性。总的来说,在复杂的数据集中应用基于端粒酶成分的 TS 提供了一种强大的端粒酶分析工具。我们的研究结果还揭示了端粒酶与其他致癌信号通路之间的紧密联系;TCAB1 可能作为一种可有可无的端粒酶成分。此外,TS 可能作为预测患者预后和对免疫治疗反应的有用生物标志物。

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