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The role of germline and tumor DNA copy number in neuroblastoma tumorigenesis.

机译:种系和肿瘤DNA拷贝数在神经母细胞瘤肿瘤发生中的作用。

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摘要

Neuroblastoma is a pediatric cancer of the developing nervous system that most commonly affects young children and is often lethal. The etiology of this embryonal malignancy is poorly understood, and until very recently, little was known about the factors predisposing to metastatic transformation. Cumulative research in the area of tumor biology over the past two decades, however, has positioned the disease as a paradigm for the utility of molecular and biological features in guiding clinical practice. Indeed, somatically acquired genomic copy number aberrations (CNAs) are of fundamental importance for predicting tumor phenotype and are routinely used in treatment stratification. Despite the ability to classify patients into broad risk groups based on a small set of clinical and biological features, the survival for high-risk patients has reached a plateau at an unacceptable rate of 30-40% and the system remains imperfect. Genome-wide profiling of tumors at the molecular level will likely provide important refinements to the current classifications allowing for enhanced care, and ultimately individualized patient therapies. In this thesis, we explore the role of genomic copy number on all facets of tumorigenesis, and present statistical and analytical methods developed to achieve the biological goals of this work. We describe the first genome-wide association study of germline copy number variations (CNVs) in any human cancer, analyzing over 2,000 controls and over 1,200 neuroblastoma cases currently enrolled in clinical trials. Next, the role of somatically acquired CNAs in initiation and progression of disease is explored through two studies of CNAs in nearly 500 primary tumors. Heritable CNVs predisposing to neuroblastoma, candidate oncogenes and tumor suppressor genes, as well as potential refinements to the current risk stratification system are discussed.
机译:神经母细胞瘤是发展中的神经系统的儿童癌症,最常影响幼儿,并且通常是致命的。人们对这种胚胎恶性肿瘤的病因了解甚少,直到最近,人们才对导致转移性转化的因素知之甚少。然而,在过去的二十年中,在肿瘤生物学领域的累积研究已将该疾病定位为分子和生物学特征在指导临床实践中的效用范例。实际上,体获得的基因组拷贝数畸变(CNA)对于预测肿瘤表型具有根本的重要性,并且通常用于治疗分层。尽管可以根据少量临床和生物学特征将患者分为广泛的危险组,但是高危患者的生存率达到了30-40%的不可接受的稳定水平,并且系统仍然不完善。在分子水平上对肿瘤进行全基因组分布分析可能会为当前分类提供重要的改进,从而提高护理水平,并最终实现个性化的患者治疗。在本文中,我们探讨了基因组拷贝数在肿瘤发生的各个方面的作用,并提出了为实现这项工作的生物学目的而开发的统计和分析方法。我们描述了任何人类癌症中生殖系拷贝数变异(CNV)的第一个全基因组关联研究,分析了目前在临床试验中注册的2000多个对照和1200多个成神经细胞瘤病例。接下来,通过对近500种原发肿瘤中CNA的两项研究,探索了体细胞获得的CNA在疾病发生和进展中的作用。讨论了易患神经母细胞瘤,候选癌基因和抑癌基因的可遗传CNV,以及对当前风险分层系统的潜在改进。

著录项

  • 作者

    Diskin, Sharon J.;

  • 作者单位

    University of Pennsylvania.;

  • 授予单位 University of Pennsylvania.;
  • 学科 Biology Genetics.;Health Sciences Oncology.;Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 225 p.
  • 总页数 225
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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