Department of Molecular and Cellular Pathology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan.
Cancer Sci. 2023 Jun;114(6):2596-2608. doi: 10.1111/cas.15764. Epub 2023 Mar 15.
Neuroendocrine carcinoma (NEC) is a highly aggressive subtype of the neuroendocrine tumor with an extremely poor prognosis. We have previously conducted a comprehensive genomic analysis of over 100 cases of NEC of the gastrointestinal system (GIS-NEC) and unraveled its unique and organ-specific genomic drivers. However, the epigenomic features of GIS-NEC remain unexplored. In this study, we have described the epigenomic landscape of GIS-NEC and small cell lung carcinoma (SCLC) by integrating motif enrichment analysis from the assay of transposase-accessible chromatin sequencing (ATAC-seq) and enhancer profiling from a novel cleavage under targets and tagmentation (CUT&Tag) assay for H3K27ac and identified ELF3 as one of the super-enhancer-related transcriptional factors in NEC. By combining CUT&Tag and knockdown RNA sequencing for ELF3, we uncovered the transcriptional network regulated by ELF3 and defined its distinctive gene signature, including AURKA, CDC25B, CLDN4, ITGB6, and YWAHB. Furthermore, a loss-of-function assay revealed that ELF3 depletion led to poor cell viability. Finally, using gene expression of clinical samples, we successfully divided GIS-NEC patients into two subgroups according to the ELF3 signature and demonstrated that tumor-promoting pathways were activated in the ELF3 signature-high group. Our findings highlight the transcriptional regulation of ELF3 as an oncogenic transcription factor and its tumor-promoting properties in NEC.
神经内分泌癌(NEC)是一种具有极差预后的神经内分泌肿瘤的高度侵袭性亚型。我们之前对 100 多例胃肠道神经内分泌癌(GIS-NEC)进行了全面的基因组分析,揭示了其独特的器官特异性基因组驱动因素。然而,GIS-NEC 的表观基因组特征仍未被探索。在这项研究中,我们通过整合转座酶可及染色质测序(ATAC-seq)的基序富集分析和新型 H3K27ac 切割靶向和标签化(CUT&Tag)检测的增强子谱分析,描述了 GIS-NEC 和小细胞肺癌(SCLC)的表观基因组景观,并鉴定出 ELF3 是 NEC 中与超级增强子相关的转录因子之一。通过结合 CUT&Tag 和 ELF3 的 RNA 干扰,我们揭示了 ELF3 调节的转录网络,并定义了其独特的基因特征,包括 AURKA、CDC25B、CLDN4、ITGB6 和 YWAHB。此外,功能丧失实验表明,ELF3 耗竭导致细胞活力下降。最后,通过对临床样本的基因表达分析,我们根据 ELF3 特征成功地将 GIS-NEC 患者分为两个亚组,并证明了 ELF3 特征高组中促进肿瘤的途径被激活。我们的研究结果强调了 ELF3 作为致癌转录因子的转录调控及其在 NEC 中的促肿瘤特性。