Liggins Institute, The University of Auckland, Auckland, New Zealand.
The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.
Br J Cancer. 2024 Nov;131(10):1644-1655. doi: 10.1038/s41416-024-02870-w. Epub 2024 Oct 4.
To develop targeted treatments, it is crucial to identify the full spectrum of genetic drivers in melanoma, including those in non-coding regions. However, recent efforts to explore non-coding regions have primarily focused on gene-adjacent elements such as promoters and non-coding RNAs, leaving intergenic distal regulatory elements largely unexplored.
We used Hi-C chromatin contact data from melanoma cells to map distal, non-coding, promoter-interacting regulatory elements genome-wide in melanoma. Using this "promoter-interaction network", alongside whole-genome sequence and gene expression data from the Pan Cancer Analysis of Whole Genomes, we developed multivariate linear regression models to identify distal somatic mutation hotspots that affect promoter activity.
We identified eight recurrently mutated hotspots that are novel, melanoma-specific, located in promoter-interacting distal regulatory elements, alter transcription factor binding motifs, and affect the expression of genes (e.g., HSPB7, CLDN1, ADCY9 and FDXR) previously implicated as tumour suppressors/oncogenes in various cancers.
Our study suggests additional non-coding drivers beyond the well-characterised TERT promoter in melanoma, offering new insights into the disruption of complex regulatory networks by non-coding mutations that may contribute to melanoma development. Furthermore, our study provides a framework for integrating multiple levels of biological data to uncover cancer-specific non-coding drivers.
为了开发靶向治疗方法,识别黑色素瘤中的全谱遗传驱动因素至关重要,包括非编码区域中的驱动因素。然而,最近探索非编码区域的努力主要集中在基因附近的元件上,如启动子和非编码 RNA,而基因间的远端调控元件在很大程度上仍未被探索。
我们使用黑色素瘤细胞中的 Hi-C 染色质接触数据,在黑色素瘤中全基因组范围内绘制远端、非编码、与启动子相互作用的调控元件。利用这个“启动子相互作用网络”,以及 Pan Cancer Analysis of Whole Genomes 中的全基因组序列和基因表达数据,我们开发了多元线性回归模型,以识别影响启动子活性的远端体细胞突变热点。
我们确定了八个经常突变的热点,这些热点是新的、黑色素瘤特异性的,位于与启动子相互作用的远端调控元件中,改变转录因子结合基序,并影响 HSPB7、CLDN1、ADCY9 和 FDXR 等先前被认为是各种癌症中的肿瘤抑制基因/癌基因的基因的表达。
我们的研究表明,黑色素瘤中除了众所周知的 TERT 启动子之外,还有其他非编码驱动因素,这为非编码突变破坏复杂调控网络提供了新的见解,这些突变可能导致黑色素瘤的发展。此外,我们的研究为整合多个层次的生物学数据以揭示癌症特异性非编码驱动因素提供了框架。