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为什么乳腺癌特征与随机特征并无差异得到解释。

Why breast cancer signatures are no better than random signatures explained.

机构信息

School of Biological Sciences, Nanyang Technological University, Singapore.

Department of Computer Science, National University of Singapore, Singapore; Department of Pathology, National University of Singapore, Singapore.

出版信息

Drug Discov Today. 2018 Nov;23(11):1818-1823. doi: 10.1016/j.drudis.2018.05.036. Epub 2018 Jun 1.

Abstract

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.

摘要

随机基因signature 优于已发表或已知 signature 时,就会出现随机 signature 优势(RSS)。与可重复性和通用性问题不同,RSS 相对较少被探讨。然而,理解它对于更好的分析结果是至关重要的。在乳腺癌中,RSS 与增殖基因富集和 signature 大小强烈相关。从随机 signature 中去除增殖基因会降低随机 signature 的预测能力。几乎所有基因都与增殖 signature 在一定程度上相关,因此不可能完全消除其混杂效应。RSS 不仅存在于乳腺癌中,也存在于其他疾病中;它在独立于平台的其他癌症中尤为明显,在非增殖性疾病中则不那么严重,但仍然存在。

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