Drug response consistency in CCLE and CGP.
Drug response consistency in CCLE and CGP.
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DOI：
10.1038/nature20580
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发表时间：
2016-11-30
期刊：
影响因子：
64.8
通讯作者：
Birtwistle MR
中科院分区：
文献类型：
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作者：
Bouhaddou M;DiStefano MS;Riesel EA;Carrasco E;Holzapfel HY;Jones DC;Smith GR;Stern AD;Somani SS;Thompson TV;Birtwistle MR
癌症细胞系百科全书1（CCLE）和癌症基因组计划2（CGP）是两个独立的大规模努力，以表征基因组，mRNA表达和跨细胞系的抗癌药物剂量反应，提供将细胞生物化学背景与药物敏感性相关的公共资源。最近的一项研究3分析了报告的剂量反应指标之间的相关性，发现CCLE和CGP之间的不一致性，因此不仅质疑这些研究的有效性，还质疑其他当前和未来昂贵的大规模研究的有效性。在这里，我们检查了从原始CCLE和CGP数据中获得的药物反应性的两个指标（斜率和曲线下面积），并找到了合理且具有统计学意义的一致性。我们的研究结果恢复了CCLE和CGP药物剂量反应数据具有足够质量进行有意义分析的信心。有一个答复这个评论由Safikhani，Z.等人，Nature 540，http：//dx. doi。org/10.1038/nature20581（2016）. CCLE和CGP在285种细胞系和15种药物中共有2，520种剂量反应，但细胞用不同的剂量范围处理。比较
The Cancer Cell Line Encyclopedia 1 (CCLE) and Cancer Genome Project 2 (CGP) are two independent large-scale efforts to characterize genomes, mRNA expression, and anti-cancer drug dose–responses across cell lines, providing a public resource relating cellular biochemical context to drug sensitivity. A recent study 3 analysed correlations between reported dose–response metrics and found inconsistency between CCLE and CGP, thus questioning the validity of not only these, but also other current and future costly large-scale studies. Here, we examine two metrics of drug responsiveness (slope and area under the curve) that we derive from the original CCLE and CGP data, and find reasonable and statistically significant consistency. Our results revive confidence that the CCLE and CGP drug dose–response data are of sufficient quality for meaningful analyses. There is a Reply to this Comment by Safikhani, Z. et al. Nature 540, http://dx. doi. org/10.1038/nature20581 (2016). CCLE and CGP share 2,520 dose–responses across 285 cell lines and 15 drugs, but cells were treated with different dose ranges. To compare
影响因子：
64.8
作者：
Garnett, Mathew J.;Edelman, Elena J.;Heidorn, Sonja J.;Greenman, Chris D.;Dastur, Anahita;Lau, King Wai;Greninger, Patricia;Thompson, I. Richard;Luo, Xi;Soares, Jorge;Liu, Qingsong;Iorio, Francesco;Surdez, Didier;Chen, Li;Milano, Randy J.;Bignell, Graham R.;Tam, Ah T.;Davies, Helen;Stevenson, Jesse A.;Barthorpe, Syd;Lutz, Stephen R.;Kogera, Fiona;Lawrence, Karl;McLaren-Douglas, Anne;Mitropoulos, Xeni;Mironenko, Tatiana;Thi, Helen;Richardson, Laura;Zhou, Wenjun;Jewitt, Frances;Zhang, Tinghu;O'Brien, Patrick;Boisvert, Jessica L.;Price, Stacey;Hur, Wooyoung;Yang, Wanjuan;Deng, Xianming;Butler, Adam;Choi, Hwan Geun;Chang, JaeWon;Baselga, Jose;Stamenkovic, Ivan;Engelman, Jeffrey A.;Sharma, Sreenath V.;Delattre, Olivier;Saez-Rodriguez, Julio;Gray, Nathanael S.;Settleman, Jeffrey;Futreal, P. Andrew;Haber, Daniel A.;Stratton, Michael R.;Ramaswamy, Sridhar;McDermott, Ultan;Benes, Cyril H.
通讯作者：
Benes, Cyril H.
影响因子：
64.8
作者：
Barretina, Jordi;Caponigro, Giordano;Stransky, Nicolas;Venkatesan, Kavitha;Margolin, Adam A.;Kim, Sungjoon;Wilson, Christopher J.;Lehar, Joseph;Kryukov, Gregory V.;Sonkin, Dmitriy;Reddy, Anupama;Liu, Manway;Murray, Lauren;Berger, Michael F.;Monahan, John E.;Morais, Paula;Meltzer, Jodi;Korejwa, Adam;Jane-Valbuena, Judit;Mapa, Felipa A.;Thibault, Joseph;Bric-Furlong, Eva;Raman, Pichai;Shipway, Aaron;Engels, Ingo H.;Cheng, Jill;Yu, Guoying K.;Yu, Jianjun;Aspesi, Peter, Jr.;de Silva, Melanie;Jagtap, Kalpana;Jones, Michael D.;Wang, Li;Hatton, Charles;Palescandolo, Emanuele;Gupta, Supriya;Mahan, Scott;Sougnez, Carrie;Onofrio, Robert C.;Liefeld, Ted;MacConaill, Laura;Winckler, Wendy;Reich, Michael;Li, Nanxin;Mesirov, Jill P.;Gabriel, Stacey B.;Getz, Gad;Ardlie, Kristin;Chan, Vivien;Myer, Vic E.;Weber, Barbara L.;Porter, Jeff;Warmuth, Markus;Finan, Peter;Harris, Jennifer L.;Meyerson, Matthew;Golub, Todd R.;Morrissey, Michael P.;Sellers, William R.;Schlegel, Robert;Garraway, Levi A.
通讯作者：
Garraway, Levi A.
影响因子：
64.8
作者：
通讯作者：
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