Parl Fritz F
Departments of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Cancer Inform. 2023 Jan 30;22:11769351221148592. doi: 10.1177/11769351221148592. eCollection 2023.
Different tumor types are characterized by unique histopathological patterns including distinctive nuclear architectures. I hypothesized that the difference in nuclear appearance is reflected in different nuclear maps of chromosome territories, the discrete regions occupied by individual chromosomes in the interphase nucleus. To test this hypothesis, I used interchromosomal translocations (ITLs) as an analytical tool to map chromosome territories in 11 different tumor types from the TCGA PanCancer database encompassing 6003 tumors with 5295 ITLs. For each chromosome I determined the number and percentage of all ITLs for any given tumor type. Chromosomes were ranked according to the frequency and percentage of ITLs per chromosome. The ranking showed similar patterns for all tumor types. Chromosomes 1, 8, 11, 17, and 19 were ranked in the top quarter, accounting for 35.2% of 5295 ITLs, whereas chromosomes 13, 15, 18, 21, and X were in the bottom quarter, accounting for only 10.5% ITLs. The correlation between the chromosome ranking in the total group of 6003 tumors and the ranking in individual tumor types was significant, ranging from < .0001 to .0033. Thus, contrary to my hypothesis, different tumor types share a common nuclear map of chromosome territories. Based on the large number of ITLs in 11 different types of malignancy one can discern a shared pattern of chromosome territories in cancer and propose a probabilistic model of chromosomes 1, 8, 11, 17, 19 in the center of the nucleus and chromosomes 13, 15, 18, 21, X at the periphery.
不同的肿瘤类型具有独特的组织病理学模式,包括独特的核结构。我推测核外观的差异反映在染色体领地的不同核图谱中,染色体领地是间期细胞核中单个染色体占据的离散区域。为了验证这一假设,我使用染色体间易位(ITL)作为分析工具,对来自TCGA泛癌数据库的11种不同肿瘤类型中的染色体领地进行图谱绘制,该数据库包含6003个肿瘤以及5295个ITL。对于每一条染色体,我确定了任何给定肿瘤类型中所有ITL的数量和百分比。根据每条染色体ITL的频率和百分比对染色体进行排名。排名显示所有肿瘤类型的模式相似。染色体1、8、11、17和19排名在前四分之一,占5295个ITL的35.2%,而染色体13、15、18、21和X排名在后四分之一,仅占ITL的10.5%。在6003个肿瘤的总体组中的染色体排名与个体肿瘤类型中的排名之间的相关性显著,范围从<0.0001到0.0033。因此,与我的假设相反,不同的肿瘤类型共享一个共同的染色体领地核图谱。基于11种不同类型恶性肿瘤中的大量ITL,可以识别出癌症中染色体领地的共享模式,并提出一个概率模型,即染色体1、8、11、17、19位于细胞核中心,染色体13、15、18、21、X位于细胞核外围。