Statistical Methods for Identifying Clonal Tumors

描述（由申请人提供）：癌症的定义特征是转移，肿瘤在身体远处定居的能力。然而，独立（第二原发）癌症也经常发生。区分第二原发与转移的能力通常具有很大的临床相关性，因为它可以影响局部（手术）与全身（药物）治疗的适当性。历史上病理学家根据大体和显微病理标准来区分这些。近年来，癌症研究人员已经开始比较肿瘤对的分子谱，以期在分子水平上区分独立的癌症和那些具有克隆起源的癌症（例如转移）。这些研究包括在体细胞突变模式的基础上（来自同一患者）对肿瘤进行并排比较，例如等位基因的获得或丢失，或肿瘤中经常经历体细胞突变的基因的点突变。在这一领域，将肿瘤分类为独立与克隆的统计方法直到最近才开始开发和评估有效性。基于我们最近开发的比较候选杂合性缺失标记集的方法研究，我们现在计划开发比较来自两个肿瘤的阵列CGH谱的正式程序，以确定它们是克隆（转移）还是独立起源。我们的策略包括对肿瘤上表观等位基因损失和获得的相关性进行全局评估，以及对染色体臂内单个潜在克隆体细胞事件进行更精确的比较。根据研究结果，我们将开发软件，为研究人员提供计算工具，以达到这些分子诊断。公共卫生相关性：癌症可以通过手术治愈，也可能随后扩散到身体的其他部位。后一种过程称为转移。一个已经治愈的病人也有可能发展成一种新的、独立的癌症。当出现新的肿瘤时，病理学家会检查肿瘤以确定它是转移瘤还是新的原发癌。然而，在某些情况下，病理学家很难区分新的原发癌和转移癌，然而这种诊断对于决定适当的治疗过程可能非常重要。我们相信，在这种情况下，病理学家的困境可以通过比较两种肿瘤的“遗传指纹”来解决。我们建议的研究包括开发统计技术来检查这些基因指纹中的信息，代表肿瘤发展过程中发生的突变，以便提供准确的病理诊断。

DESCRIPTION (provided by applicant): The defining feature of cancer is metastasis, the ability of tumors to colonize distant sites of the body. However, independent (second primary) cancers also occur frequently. The ability to distinguish a second primary from a metastasis is often of great clinical relevance, as it can affect the appropriateness of local (surgical) versus systemic (medical) treatment. Historically pathologists have distinguished these on the basis of gross and microscopic pathologic criteria. In recent years cancer investigators have begun to compare the molecular profiles of pairs of tumors with a view to distinguishing independent cancers from those that share a clonal origin (e.g. metastases) at the molecular level. These studies involve the side-by-side comparison of pairs of tumors (from the same patient) on the basis of patterns of somatic mutations, such as allelic gains or losses, or point mutations in genes that frequently experience somatic mutations in tumors. Statistical methods for classifying the tumors as independent versus clonal in this field have only recently begun to be developed and evaluated for validity. Building on research on methods for comparing sets of candidate markers of loss of heterozygosity that we have recently developed, we now plan to develop formal procedures for comparing array CGH profiles from two tumors to determine if they are of clonal (metastatic) or independent origin. Our strategy involves a global evaluation of the correlation of apparent allelic losses and gains on the tumors, and a much more precise comparison of individual, potentially clonal somatic events within chromosome arms. Based on the results of the research we will develop software t provide investigators with the computational tools to arrive at these molecular diagnoses. PUBLIC HEALTH RELEVANCE: Cancers can be cured by surgery or they may spread subsequently to other parts of the body. This latter process is known as metastasis. It is also possible for a patient who has been cured to develop a new, independent occurrence of cancer. When a new tumor develops pathologists examine the tumor to determine if it is a metastasis or a new primary cancer. However, in some circumstances it is difficult for the pathologist to distinguish a new primary cancer from a metastasis, and yet this diagnosis may be very important for deciding upon the appropriate course of treatment. We believe that the pathologist's dilemma in these circumstances can be resolved by comparing the "genetic fingerprints" of the two tumors. Our proposed research involves developing statistical techniques for examining the information in these genetic fingerprints, representing the mutations that have occurred during the development of the tumors, in order to provide accurate pathological diagnoses.