Department of Hematology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands; Department of Pediatric Oncology, Emma's Children's Hospital, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands; Department of Medical Oncology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands.
Department of Hematology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, Netherlands.
Drug Resist Updat. 2020 Dec;53:100728. doi: 10.1016/j.drup.2020.100728. Epub 2020 Sep 28.
Alternative splicing is a tightly regulated process whereby non-coding sequences of pre-mRNA are removed and protein-coding segments are assembled in diverse combinations, ultimately giving rise to proteins with distinct or even opposing functions. In the past decade, whole genome/transcriptome sequencing studies revealed the high complexity of splicing regulation, which occurs co-transcriptionally and is influenced by chromatin status and mRNA modifications. Consequently, splicing profiles of both healthy and malignant cells display high diversity and alternative splicing was shown to be widely deregulated in multiple cancer types. In particular, mutations in pre-mRNA regulatory sequences, splicing regulators and chromatin modifiers, as well as differential expression of splicing factors are important contributors to cancer pathogenesis. It has become clear that these aberrations contribute to many facets of cancer, including oncogenic transformation, cancer progression, response to anticancer drug treatment as well as resistance to therapy. In this respect, alternative splicing was shown to perturb the expression a broad spectrum of relevant genes involved in drug uptake/metabolism (i.e. SLC29A1, dCK, FPGS, and TP), activation of nuclear receptor pathways (i.e. GR, AR), regulation of apoptosis (i.e. MCL1, BCL-X, and FAS) and modulation of response to immunotherapy (CD19). Furthermore, aberrant splicing constitutes an important source of novel cancer biomarkers and the spliceosome machinery represents an attractive target for a novel and rapidly expanding class of therapeutic agents. Small molecule inhibitors targeting SF3B1 or splice factor kinases were highly cytotoxic against a wide range of cancer models, including drug-resistant cells. Importantly, these effects are enhanced in specific cancer subsets, such as splicing factor-mutated and c-MYC-driven tumors. Furthermore, pre-clinical studies report synergistic effects of spliceosome modulators in combination with conventional antitumor agents. These strategies based on the use of low dose splicing modulators could shift the therapeutic window towards decreased toxicity in healthy tissues. Here we provide an extensive overview of the latest findings in the field of regulation of splicing in cancer, including molecular mechanisms by which cancer cells harness alternative splicing to drive oncogenesis and evade anticancer drug treatment as well as splicing-based vulnerabilities that can provide novel treatment opportunities. Furthermore, we discuss current challenges arising from genome-wide detection and prediction methods of aberrant splicing, as well as unravelling functional relevance of the plethora of cancer-related splicing alterations.
选择性剪接是一个严格调控的过程,通过该过程,前体 mRNA 的非编码序列被去除,而蛋白质编码片段则以多种组合方式组装,最终产生具有不同甚至相反功能的蛋白质。在过去的十年中,全基因组/转录组测序研究揭示了剪接调控的高度复杂性,这种调控发生在转录过程中,并受到染色质状态和 mRNA 修饰的影响。因此,健康细胞和恶性细胞的剪接谱都显示出很高的多样性,并且在多种癌症类型中发现了广泛的剪接失调。特别是,前体 mRNA 调节序列、剪接调节因子和染色质修饰因子的突变,以及剪接因子的差异表达,是癌症发病机制的重要因素。很明显,这些异常导致了癌症的许多方面,包括致癌转化、癌症进展、对抗癌药物治疗的反应以及对治疗的耐药性。在这方面,选择性剪接被证明会扰乱与药物摄取/代谢(即 SLC29A1、dCK、FPGS 和 TP)、核受体途径激活(即 GR、AR)、细胞凋亡调节(即 MCL1、BCL-X 和 FAS)以及免疫治疗反应调节(即 CD19)相关的广泛相关基因的表达。此外,异常剪接是新型癌症生物标志物的重要来源,剪接体机制代表了一类新型且快速发展的治疗药物的有吸引力的靶标。针对 SF3B1 或剪接因子激酶的小分子抑制剂对包括耐药细胞在内的广泛的癌症模型具有高度细胞毒性。重要的是,这些作用在特定的癌症亚群中增强,例如剪接因子突变和 c-MYC 驱动的肿瘤。此外,临床前研究报告了剪接体调节剂与常规抗肿瘤药物联合使用的协同效应。这些基于使用低剂量剪接调节剂的策略可以将治疗窗口向降低健康组织毒性的方向转移。在这里,我们提供了癌症中剪接调控的最新研究结果的广泛概述,包括癌细胞利用选择性剪接驱动癌变和逃避抗癌药物治疗的分子机制,以及可以提供新的治疗机会的基于剪接的脆弱性。此外,我们讨论了从全基因组检测和预测异常剪接方法以及揭示大量癌症相关剪接改变的功能相关性中出现的当前挑战。