The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gynecol Oncol. 2013 Mar;128(3):500-5. doi: 10.1016/j.ygyno.2012.11.031. Epub 2012 Nov 28.
Structural aberration in chromosomes characterizes almost all human solid cancers and analysis of those alterations may reveal the history of chromosomal instability. However, the clinical significance of massive chromosomal abnormality in ovarian high-grade serous carcinoma (HGSC) remains elusive. In this study, we addressed this issue by analyzing the genomic profiles in 455 ovarian HGSCs available from The Cancer Genome Atlas (TCGA).
DNA copy number, mRNA expression, and clinical information were downloaded from the TCGA data portal. A chromosomal disruption index (CDI) was developed to summarize the extent of copy number aberrations across the entire genome. A Cox regression model was applied to identify factors associated with poor prognosis. Genes whose expression was associated with CDI were identified by a 2-stage multivariate linear regression and were used to find enriched pathways by Ingenuity Pathway Analysis.
Multivariate survival analysis showed that a higher CDI was significantly associated with a worse overall survival in patients. Interestingly, the pattern of DNA copy number alterations across all the chromosomes was similar between tumors with high and low CDI, suggesting they did not arise from different mechanisms. We also observed that expression of several genes was highly correlated with the CDI, even after adjusting for local copy number variation. We found that molecular pathways involving DNA damage response and mitosis were significantly enriched in these CDI-correlated genes.
Our results provide a new insight into the role of chromosomal rearrangement in the development of HGSC and the promise of applying CDI in risk-stratifying HGSC patients, perhaps for different clinical managements. The genes whose expression is correlated with CDI are worthy of further study to elucidate the mechanism of chromosomal instability in HGSC.
染色体结构异常几乎存在于所有人类实体瘤中,对这些改变的分析可能揭示染色体不稳定性的历史。然而,卵巢高级别浆液性癌(HGSC)中大量染色体异常的临床意义仍不清楚。在这项研究中,我们通过分析来自癌症基因组图谱(TCGA)的 455 例卵巢 HGSC 的基因组图谱来解决这个问题。
从 TCGA 数据门户下载 DNA 拷贝数、mRNA 表达和临床信息。开发了染色体破坏指数(CDI)来总结整个基因组的拷贝数异常程度。应用 Cox 回归模型来确定与不良预后相关的因素。通过两阶段多元线性回归鉴定与 CDI 相关的表达基因,并通过 Ingenuity 通路分析寻找富集通路。
多变量生存分析显示,较高的 CDI 与患者总体生存率显著相关。有趣的是,高 CDI 和低 CDI 肿瘤之间所有染色体的 DNA 拷贝数改变模式相似,表明它们不是由不同的机制引起的。我们还观察到,即使在调整局部拷贝数变异后,几个基因的表达与 CDI 高度相关。我们发现,涉及 DNA 损伤反应和有丝分裂的分子途径在这些与 CDI 相关的基因中显著富集。
我们的研究结果为染色体重排在 HGSC 发展中的作用提供了新的见解,并为应用 CDI 对 HGSC 患者进行风险分层提供了希望,也许可以用于不同的临床管理。与 CDI 相关的表达基因值得进一步研究,以阐明 HGSC 中染色体不稳定性的机制。