Guillermo Palou-Márquez, Pere Pericot-Masdevall, Fran Supek
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By integrating a wide variety of genomic and transcriptomic pan-cancer data from the TCGA project, we show that ASE favoring the preferential expression of the mutant allele in some driver genes is subject to positive selection, and that these events are associated with worse overall survival across all cancer types. We found that the impact of ASE triggered by non-CNA causes is substantial, and we propose that some instances of cis-ASE are explained by the epigenetic changes affecting alleles differently. Furthermore, as a second mechanism, we find that splicing-altering mutations are selected in various cancer genes and result in ASE. We anticipate that the study and understanding of the role of mutant allele imbalances at the mRNA level can help understand epigenetic changes during cancer evolution, as well as identify new prognostic markers and therapeutic approaches that target altered allelic expression in tumors.","PeriodicalId":501233,"journal":{"name":"bioRxiv - Cancer Biology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Allele-specific expression is selected in tumorigenesis, results from epigenetic changes and has prognostic relevance\",\"authors\":\"Guillermo Palou-Márquez, Pere Pericot-Masdevall, Fran Supek\",\"doi\":\"10.1101/2024.09.07.611780\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Allele-specific expression (ASE) is the differential abundance in levels of mRNAs that originated from the paternal and maternal copies of a gene. 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We found that the impact of ASE triggered by non-CNA causes is substantial, and we propose that some instances of cis-ASE are explained by the epigenetic changes affecting alleles differently. Furthermore, as a second mechanism, we find that splicing-altering mutations are selected in various cancer genes and result in ASE. 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引用次数: 0
摘要
等位基因特异性表达(ASE)是指源自基因父系和母系拷贝的 mRNA 水平的丰度差异。这种等位基因失衡会导致表型变异并影响疾病特征,包括癌症。肿瘤中常见的等位基因失衡是由 DNA 水平上的体细胞拷贝数改变(CNA)引起的,但也存在其他原因导致等位基因失衡:顺式作用的遗传或表观遗传变异可导致两个等位基因之间的表达差异。然而,后一种非 CNA 的 ASE 机制在癌症中的作用及其在肿瘤演变中的作用和对临床结果的影响仍未得到充分研究。通过整合来自 TCGA 项目的多种泛癌症基因组和转录组数据,我们发现,在某些驱动基因中,ASE 有利于突变等位基因的优先表达,而这些突变等位基因的表达受到了正选择的影响,并且这些事件与所有癌症类型的总生存率降低有关。我们发现,由非 CNA 原因引发的 ASE 的影响是巨大的,因此我们提出顺式-ASE 的某些情况可以通过对等位基因产生不同影响的表观遗传学变化来解释。此外,作为第二种机制,我们发现剪接改变突变在各种癌症基因中被选择并导致 ASE。我们预计,研究和了解突变等位基因在 mRNA 水平上的不平衡作用有助于理解癌症演变过程中的表观遗传变化,并确定新的预后标志物和针对肿瘤中等位基因表达改变的治疗方法。
Allele-specific expression is selected in tumorigenesis, results from epigenetic changes and has prognostic relevance
Allele-specific expression (ASE) is the differential abundance in levels of mRNAs that originated from the paternal and maternal copies of a gene. Such allelic imbalances can contribute to phenotypic variation and influence disease traits, including cancer. There is common ASE in tumors that results from somatic copy-number alterations (CNAs) at the DNA level, but there also exist other causes of ASE: cis-acting genetic or epigenetic variation that can lead to differential expression between the two alleles. However, the latter, non-CNA mechanisms of ASE remain understudied in cancer, as well as their role in tumor evolution and impact on clinical outcomes. By integrating a wide variety of genomic and transcriptomic pan-cancer data from the TCGA project, we show that ASE favoring the preferential expression of the mutant allele in some driver genes is subject to positive selection, and that these events are associated with worse overall survival across all cancer types. We found that the impact of ASE triggered by non-CNA causes is substantial, and we propose that some instances of cis-ASE are explained by the epigenetic changes affecting alleles differently. Furthermore, as a second mechanism, we find that splicing-altering mutations are selected in various cancer genes and result in ASE. We anticipate that the study and understanding of the role of mutant allele imbalances at the mRNA level can help understand epigenetic changes during cancer evolution, as well as identify new prognostic markers and therapeutic approaches that target altered allelic expression in tumors.