Koduru P R, Filippa D A, Richardson M E, Jhanwar S C, Chaganti S R, Koziner B, Clarkson B D, Lieberman P H, Chaganti R S
Blood. 1987 Jan;69(1):97-102.
Although a number of studies have indicated correlations between histologic subtypes of tumors and certain nonrandom chromosome changes, cytogenetic studies of lymphoma are in an early stage compared to those of leukemia. No comprehensive analysis of available data has so far been attempted in the literature either. Here we present an analysis of chromosome changes and their correlation with subtypes of lymphoma studied by conventional histology and cell surface markers, as observed in two sets of data: a group of 65 karyotypically abnormal tumors sequentially ascertained and studied by us during the period January 1, 1984 to April 30, 1985, and a larger data set derived by combining our data with those from two published series from the University of Minnesota that are comparable to our data. These combined data, which comprise the largest data set on the cytogenetics of lymphomas assembled so far, enabled a comprehensive analysis of correlation between chromosome change and tumor histology and the patterns of chromosome instability in these tumors. We found several significant associations, some previously described and others now recognized, between nonrandom chromosome gains, breaks, translocations, and deletions and histologic subtypes of tumors that characterize lymphomas. The data indicate that finding of chromosome breaks at certain sites (eg, 8q24, 14q32, 18q21) is of diagnostic value in dealing with cases of unusual lymphoma. Furthermore, nonrandom chromosome breakage exhibited three distinct patterns that reflected three levels of etiologically relevant genetic change.
尽管许多研究表明肿瘤的组织学亚型与某些非随机染色体变化之间存在关联，但与白血病的细胞遗传学研究相比，淋巴瘤的细胞遗传学研究仍处于早期阶段。迄今为止，文献中也尚未尝试对现有数据进行全面分析。在此，我们呈现了对染色体变化及其与淋巴瘤亚型相关性的分析，这些淋巴瘤亚型通过传统组织学和细胞表面标志物进行研究，分析结果来自两组数据：一组是我们在1984年1月1日至1985年4月30日期间相继确定并研究的65例核型异常肿瘤；另一组更大的数据集是将我们的数据与明尼苏达大学发表的两个系列中与我们的数据具有可比性的数据相结合而得出的。这些合并后的数据构成了迄今为止所汇集的关于淋巴瘤细胞遗传学的最大数据集，使得能够对染色体变化与肿瘤组织学之间的相关性以及这些肿瘤中染色体不稳定性的模式进行全面分析。我们发现了非随机染色体增加、断裂、易位和缺失与表征淋巴瘤的肿瘤组织学亚型之间的若干显著关联，其中一些是先前已描述的，另一些则是现在才认识到的。数据表明，在某些位点（如8q24、14q32、18q21）发现染色体断裂在处理不寻常淋巴瘤病例时具有诊断价值。此外，非随机染色体断裂表现出三种不同模式，反映了三个与病因相关的遗传变化水平。
