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卵巢癌细胞系和原发性患者样本中染色体不稳定性的时间动态变化。

The temporal dynamics of chromosome instability in ovarian cancer cell lines and primary patient samples.

作者信息

Penner-Goeke Signe, Lichtensztejn Zelda, Neufeld Megan, Ali Jennifer L, Altman Alon D, Nachtigal Mark W, McManus Kirk J

机构信息

Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada.

Research Institute in Oncology and Hematology, CancerCare Manitoba, Winnipeg, Manitoba, Canada.

出版信息

PLoS Genet. 2017 Apr 4;13(4):e1006707. doi: 10.1371/journal.pgen.1006707. eCollection 2017 Apr.

Abstract

Epithelial ovarian cancer (EOC) is the most prevalent form of ovarian cancer and has the highest mortality rate. Novel insight into EOC is required to minimize the morbidity and mortality rates caused by recurrent, drug resistant disease. Although numerous studies have evaluated genome instability in EOC, none have addressed the putative role chromosome instability (CIN) has in disease progression and drug resistance. CIN is defined as an increase in the rate at which whole chromosomes or large parts thereof are gained or lost, and can only be evaluated using approaches capable of characterizing genetic or chromosomal heterogeneity within populations of cells. Although CIN is associated with numerous cancer types, its prevalence and dynamics in EOC is unknown. In this study, we assessed CIN within serial samples collected from the ascites of five EOC patients, and in two well-established ovarian cancer cell models of drug resistance (PEO1/4 and A2780s/cp). We quantified and compared CIN (as measured by nuclear areas and CIN Score (CS) values) within and between serial samples to glean insight into the association and dynamics of CIN within EOC, with a particular focus on resistant and recurrent disease. Using quantitative, single cell analyses we determined that CIN is associated with every sample evaluated and further show that many EOC samples exhibit a large degree of nuclear size and CS value heterogeneity. We also show that CIN is dynamic and generally increases within resistant disease. Finally, we show that both drug resistance models (PEO1/4 and A2780s/cp) exhibit heterogeneity, albeit to a much lesser extent. Surprisingly, the two cell line models exhibit remarkably similar levels of CIN, as the nuclear areas and CS values are largely overlapping between the corresponding paired lines. Accordingly, these data suggest CIN may represent a novel biomarker capable of monitoring changes in EOC progression associated with drug resistance.

摘要

上皮性卵巢癌(EOC)是卵巢癌最常见的形式,死亡率最高。需要对EOC有新的认识,以尽量降低由复发性耐药疾病导致的发病率和死亡率。尽管众多研究评估了EOC中的基因组不稳定性,但尚无研究探讨染色体不稳定性(CIN)在疾病进展和耐药性中的假定作用。CIN被定义为整条染色体或其大部分获得或丢失速率的增加,并且只能使用能够表征细胞群体内遗传或染色体异质性的方法进行评估。尽管CIN与多种癌症类型相关,但其在EOC中的发生率和动态变化尚不清楚。在本研究中,我们评估了从5例EOC患者腹水中采集的系列样本以及两种成熟的卵巢癌耐药细胞模型(PEO1/4和A2780s/cp)中的CIN。我们对系列样本内部和之间的CIN(通过核面积和CIN评分(CS)值测量)进行了量化和比较,以深入了解EOC中CIN的关联和动态变化,特别关注耐药和复发性疾病。通过定量单细胞分析,我们确定CIN与每个评估样本相关,并进一步表明许多EOC样本表现出很大程度的核大小和CS值异质性。我们还表明CIN是动态的,并且在耐药疾病中通常会增加。最后,我们表明两种耐药模型(PEO1/4和A2780s/cp)均表现出异质性,尽管程度要小得多。令人惊讶的是,两种细胞系模型表现出非常相似的CIN水平,因为相应配对细胞系之间的核面积和CS值在很大程度上重叠。因此,这些数据表明CIN可能代表一种能够监测与耐药性相关的EOC进展变化的新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bffa/5395197/f790e7b6bf06/pgen.1006707.g001.jpg

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