Evaluating cell lines as tumour models by comparison of genomic profiles.
Evaluating cell lines as tumour models by comparison of genomic profiles.
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DOI：
10.1038/ncomms3126
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发表时间：
2013
影响因子：
16.6
通讯作者：
Schultz, Nikolaus
中科院分区：
文献类型：
--
作者：
Domcke, Silvia;Sinha, Rileen;Levine, Douglas A.;Sander, Chris;Schultz, Nikolaus
癌细胞系经常用作体外肿瘤模型。最近的分子概况数百细胞系从癌细胞系百科全书和数千肿瘤样本从癌症基因组图谱现在允许系统的基因组比较细胞系和肿瘤。在这里，我们分析了一组47个卵巢癌细胞系，并确定了那些与卵巢肿瘤具有最高遗传相似性的细胞系。我们对拷贝数变化、突变和mRNA表达谱的比较揭示了常用卵巢癌细胞系和高级别浆液性卵巢癌肿瘤样本之间分子谱的显著差异。我们确定了几个很少使用的细胞系，更接近同源肿瘤的配置文件比常用的细胞系，我们建议这些线作为卵巢癌的最合适的模型。我们的研究结果表明，细胞系和肿瘤之间的差距可以通过基因组信息选择所有肿瘤类型的细胞系模型来弥合。 细胞系广泛用于癌症研究以研究肿瘤生物学。在这里，Domcke等人比较了来自卵巢癌细胞系的基因组数据与来自临床卵巢肿瘤样本的基因组数据，并鉴定了与高级别浆液性卵巢癌的基因组特征最相似的细胞系。
Cancer cell lines are frequently used as in vitro tumour models. Recent molecular profiles of hundreds of cell lines from The Cancer Cell Line Encyclopedia and thousands of tumour samples from the Cancer Genome Atlas now allow a systematic genomic comparison of cell lines and tumours. Here we analyse a panel of 47 ovarian cancer cell lines and identify those that have the highest genetic similarity to ovarian tumours. Our comparison of copy-number changes, mutations and mRNA expression profiles reveals pronounced differences in molecular profiles between commonly used ovarian cancer cell lines and high-grade serous ovarian cancer tumour samples. We identify several rarely used cell lines that more closely resemble cognate tumour profiles than commonly used cell lines, and we propose these lines as the most suitable models of ovarian cancer. Our results indicate that the gap between cell lines and tumours can be bridged by genomically informed choices of cell line models for all tumour types. Cell lines are widely used in cancer research to study tumour biology. Here Domcke et al. compare genomic data from ovarian cancer cell lines with those from clinical ovarian tumour samples and identify cell lines that most closely resemble the genomic features of high-grade serous ovarian cancer.
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影响因子：
7.3
作者：
Ahmed, Ashour Ahmed;Etemadmoghadam, Dariush;Temple, Jillian;Lynch, Andy G.;Riad, Mohamed;Sharma, Raghwa;Stewart, Colin;Fereday, Sian;Caldas, Carlos;DeFazio, Anna;Bowtell, David;Brenton, James D.
通讯作者：
Brenton, James D.
影响因子：
8
作者：
Cooke, S. L.;Ng, C. K. Y.;Melnyk, N.;Garcia, M. J.;Hardcastle, T.;Temple, J.;Langdon, S.;Huntsman, D.;Brenton, J. D.
通讯作者：
Brenton, J. D.
影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
9.7
作者：
Gloss, Brian S.;Patterson, Kate I.;Clark, Susan J.
通讯作者：
Clark, Susan J.
影响因子：
7.2
作者：
Gershenson, David M.;Sun, Charlotte C.;Bodurka, Diane C.
通讯作者：
Bodurka, Diane C.