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Why breast cancer signatures are no better than random signatures explained
Drug Discovery Today ( IF 6.5 ) Pub Date : 2018-06-01 , DOI: 10.1016/j.drudis.2018.05.036
Wilson Wen Bin Goh , Limsoon Wong

Random signature superiority (RSS) occurs when random gene signatures outperform published and/or known signatures. Unlike reproducibility and generalizability issues, RSS is relatively underexplored. Yet, understanding it is imperative for better analytical outcome. In breast cancer, RSS correlates strongly with enrichment for proliferation genes and signature size. Removal of proliferation genes from random signatures reduces the predictive power of random signatures. Almost all genes are correlated to a certain extent with the proliferation signature, making complete elimination of its confounding effects impossible. RSS goes beyond breast cancer, because it also exists in other diseases; it is especially strong in other cancers in a platform-independent manner, and less severe, but present nonetheless, in nonproliferative diseases.



中文翻译:

为什么乳腺癌的特征并不比随机特征更好

当随机基因签名胜过已发布和/或已知的签名时,就会出现随机签名优势(RSS)。与可重复性和可概括性问题不同,RSS的开发相对不足。但是,必须了解它才能获得更好的分析结果。在乳腺癌中,RSS与增殖基因和标记大小的富集密切相关。从随机特征中去除增殖基因会降低随机特征的预测能力。几乎所有基因在一定程度上都与增殖信号相关,从而不可能完全消除其混杂效应。RSS超越了乳腺癌,因为它也存在于其他疾病中。它在不依赖平台的方式下在其他癌症中尤其强,而在非增生性疾病中不那么严重,但仍然存在。

更新日期:2018-06-01
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