Transcription profiling by array of breast cancer samples to define breast cancer subsets
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下载链接：
https://www.omicsdi.org/dataset/biostudies-other/S-ECPF-MTAB-365
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资源简介：
A Cartes d'Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net) | 537 samples on Affymetrix HG-U133 Plus 2,0 GeneChips arrays for 537 patients. 555 samples on CGH CIT v7 for 531 patients. Breast cancer molecular subtypes have been debated, pointing at their instability and dependence on the original set of samples or genes. Classification of breast cancer currently used in the clinic, albeit being simple, lacks precision. We aimed at defining more homogeneous breast cancer subsets at both the biological and clinical levels. | Submitter : Renaud Schiappa schiappar@ligue-cancer.net | Project leader : Charles Theillet charles.theillet@inserm.fr
本数据集源自法国国家抗癌联盟（Ligue Nationale Contre le Cancer）发起的肿瘤标识图谱（Cartes d'Identite des Tumeurs, CIT）项目，项目官方网址为http://cit.ligue-cancer.net。该数据集包含537份乳腺癌样本，采用Affymetrix HG-U133 Plus 2.0基因芯片进行检测，对应537名患者；另有555份样本采用CGH CIT v7芯片进行检测，对应531名患者。乳腺癌分子亚型一直存在学术争议，其分型具有不稳定性，且高度依赖初始研究的样本集与基因集。当前临床所用的乳腺癌分类方法虽简便，但精准度不足。本项目旨在从生物学与临床层面，定义均一性更高的乳腺癌亚群。提交者：Renaud Schiappa，邮箱：schiappar@ligue-cancer.net；项目负责人：Charles Theillet，邮箱：charles.theillet@inserm.fr
创建时间：
2016-04-14
