Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, Saint Herblain Cedex 44805, France.
CRCINA Team 8, UMR 1232 INSERM, Université de Nantes, Université d'Angers, Institut de Recherche en Santé-Université de Nantes, 8 Quai Moncousu-BP 70721, Nantes 44007, France.
Database (Oxford). 2021 Feb 18;2021. doi: 10.1093/database/baab007.
'Breast cancer gene-expression miner' (bc-GenExMiner) is a breast cancer-associated web portal (http://bcgenex.ico.unicancer.fr). Here, we describe the development of a new statistical mining module, which permits several differential gene expression analyses, i.e. 'Expression' module. Sixty-two breast cancer cohorts and one healthy breast cohort with their corresponding clinicopathological information are included in bc-GenExMiner v4.5 version. Analyses are based on microarray or RNAseq transcriptomic data. Thirty-nine differential gene expression analyses, grouped into 13 categories, according to clinicopathological and molecular characteristics ('Targeted' and 'Exhaustive') and gene expression ('Customized'), have been developed. Output results are visualized in four forms of plots. This new statistical mining module offers, among other things, the possibility to compare gene expression in healthy (cancer-free), tumour-adjacent and tumour tissues at once and in three triple-negative breast cancer subtypes (i.e. C1: molecular apocrine tumours; C2: basal-like tumours infiltrated by immune suppressive cells and C3: basal-like tumours triggering an ineffective immune response). Several validation tests showed that bioinformatics process did not alter the pathobiological information contained in the source data. In this work, we developed and demonstrated that bc-GenExMiner 'Expression' module can be used for exploratory and validation purposes. Database URL: http://bcgenex.ico.unicancer.fr.
“乳腺癌基因表达挖掘器”(bc-GenExMiner)是一个与乳腺癌相关的网络门户(http://bcgenex.ico.unicancer.fr)。在这里,我们描述了一个新的统计挖掘模块的开发,该模块允许进行多种差异基因表达分析,即“表达”模块。bc-GenExMiner v4.5 版本包含 62 个乳腺癌队列和 1 个健康乳腺队列及其相应的临床病理信息。分析基于微阵列或 RNAseq 转录组数据。根据临床病理和分子特征(“靶向”和“详尽”)和基因表达(“定制”),将 39 种差异基因表达分析分为 13 类进行了开发。输出结果以四种图形形式可视化。除其他外,这个新的统计挖掘模块还提供了同时比较健康(无癌)、肿瘤相邻和肿瘤组织中基因表达的可能性,以及在三种三阴性乳腺癌亚型(即 C1:分子大汗腺癌;C2:浸润免疫抑制细胞的基底样肿瘤;C3:引发无效免疫反应的基底样肿瘤)中进行比较的可能性。多项验证测试表明,生物信息学过程没有改变原始数据中包含的病理生物学信息。在这项工作中,我们开发并证明了 bc-GenExMiner“表达”模块可用于探索性和验证性目的。数据库网址:http://bcgenex.ico.unicancer.fr。