Nguyen Hien H, Tilton Susan C, Kemp Christopher J, Song Mingzhou
Department of Computer Science, New Mexico State University, Las Cruces, NM, USA.
Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Cancer Inform. 2017 Nov 13;16:1176935117740132. doi: 10.1177/1176935117740132. eCollection 2017.
The mechanistic basis by which the level of p27 expression influences tumor aggressiveness and patient mortality remains unclear. To elucidate the competing tumor-suppressing and oncogenic effects of p27 on gene expression in tumors, we analyzed the transcriptomes of squamous cell papilloma derived from nullizygous, heterozygous, and wild-type mice. We developed a novel functional pathway analysis method capable of testing directional and nonmonotonic dose response. This analysis can reveal potential causal relationships that might have been missed by other nondirectional pathway analysis methods. Applying this method to capture dose-response curves in papilloma gene expression data, we show that several known cancer pathways are dominated by low-high-low gene expression responses to increasing p27 gene doses. The oncogene cyclin D1, whose expression is elevated at an intermediate p27 dose, is the most responsive gene shared by these cancer pathways. Therefore, intermediate levels of p27 may promote cellular processes favoring tumorigenesis-strikingly consistent with the dominance of heterozygous mutations in seen in human cancers. Our findings shed new light on regulatory mechanisms for both pro- and anti-tumorigenic roles of p27. Functional pathway dose-response analysis provides a unique opportunity to uncover nonmonotonic patterns in biological systems.
p27表达水平影响肿瘤侵袭性和患者死亡率的机制基础仍不清楚。为了阐明p27对肿瘤基因表达的竞争性肿瘤抑制和致癌作用,我们分析了来自纯合缺失、杂合和野生型小鼠的鳞状细胞乳头瘤的转录组。我们开发了一种新型的功能通路分析方法,能够测试方向性和非单调剂量反应。这种分析可以揭示其他非方向性通路分析方法可能遗漏的潜在因果关系。将此方法应用于捕获乳头瘤基因表达数据中的剂量反应曲线,我们发现几个已知的癌症通路以对增加的p27基因剂量呈现低-高-低基因表达反应为主。癌基因细胞周期蛋白D1在中等p27剂量时表达升高,是这些癌症通路中最敏感的基因。因此,中等水平的p27可能促进有利于肿瘤发生的细胞过程,这与人类癌症中杂合突变占主导地位的情况惊人地一致。我们的发现为p27的促肿瘤和抗肿瘤作用的调控机制提供了新的见解。功能通路剂量反应分析为揭示生物系统中的非单调模式提供了独特的机会。