Wilms 肿瘤的亚型特异性进化模式和临床相关基因组不稳定性

George D Cresswell, Tasnim Chagtai, Reem Al-Saadi, Taryn D Treger, Gaganjit Madhan, Borbala Mifsud, Gordan Vujanic, Richard D Williams, Nicholas M Luscombe, Kathy Pritchard-Jones, William Mifsud
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引用次数: 0

摘要

了解癌症的演变是预测癌症进展的基础。然而,对儿科癌症演变的研究仍然不足。要确定一致的进化轨迹,揭示癌症发展的关键步骤并揭示潜在的生物学特性,尤其是罕见癌症,需要大量的患者群体。此外,要确定进化生物标志物是否能预测患者的预后,还需要有良好注释的临床数据。我们使用 DNA 微阵列对 64 例儿科肾癌(包括 60 例 Wilms 肿瘤(WT))进行了详细的进化分析,并在 30 例患者的子集中使用 WT 特异性靶向测序分析,分别检测拷贝数改变(CNA)和突变。通过分析大多数病例的多个组织样本,我们可以检测到每个肿瘤中的突变异质性。除了检测镜像亚克隆等位基因不平衡外,我们还重建了整个群体的克隆,并描述了它们的系统发育历史。我们的研究结果凸显了WTs影响CNAs以及CTNNB1和TP53突变的平行进化的普遍证据。此外,我们还证明了基质型 WT 通常是由一系列一致的事件(WT1 突变、11p 单亲断裂和 CTNNB1 突变)演变而来的,我们还提出 19q 单亲断裂是上皮型和弥漫性无细胞 WT 的重要祖先事件。最后,我们建议将进化CNA事件的总数作为WT无事件生存期的预后生物标志物,尤其是在高风险WT中。总之,这项研究揭示了最常见的儿科肾癌的演变过程,并将进化分析与大量 WT 的基本临床和生物学问题联系起来。我们的结论是,WT 的组织学亚型通常由一致的进化序列所定义。我们提出的证据表明,可进化性的一个关键标志物(即在多个肿瘤部位系统发育测量的 CNA 多样性)可预示患者的预后,临床上应考虑使用该标志物来检测最具侵袭性的胚泡型和弥漫性无细胞型 WT。
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Subtype-specific Patterns of Evolution and Clinically Relevant Genomic Instability in Wilms Tumour
Understanding cancer evolution is fundamental to predicting cancer progression. However, the evolution of paediatric cancers is still under-researched. Large cohorts of patients are required to determine consistent evolutionary trajectories that shed light on key steps in cancer development and reveal underlying biology, especially in rare cancers. Additionally, well annotated clinical data is necessary for determining if evolutionary biomarkers are predictive of patient outcome. We performed detailed evolutionary analysis of 64 paediatric kidney cancers, including 60 Wilms tumours (WT), using DNA microarrays and, in a subset of 30 patients, a WT-specific targeted sequencing assay, to detect copy number alterations (CNA) and mutations, respectively. By analysing multiple tissue samples in the majority of cases we could detect mutation heterogeneity in each tumour. We reconstructed clones across the cohort and described their phylogenetic histories, in addition to detecting mirrored subclonal allelic imbalance. Our results highlight pervasive evidence of parallel evolution in WTs affecting CNAs, and CTNNB1 and TP53 mutations. Furthermore, we demonstrate that stromal-type WTs often evolve from a consistent series of events (WT1 mutation, 11p uniparental disomy and CTNNB1 mutation) and we suggest that 19q uniparental disomy is an important ancestral event in both epithelial and diffuse anaplastic WTs. Finally, we propose the total number of evolutionary CNA events as a prognostic biomarker in WTs for event-free survival, particularly in high-risk WT. Overall, this study sheds light on the evolution of the most common paediatric kidney cancer and links evolutionary analysis to fundamental clinical and biological questions in a large cohort of WTs. We conclude that histological subtypes of WT are often defined by consistent evolutionary sequences. We present evidence that a key marker of evolvability, namely CNA diversity measured phylogenetically across multiple tumour sites, is prognostic of patient outcome and should be considered for clinical use to detect the most aggressive blastemal and diffuse anaplastic type WTs.
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