Shilts Jarrod, Chen Guanhua, Hughey Jacob J
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, United States of America.
Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States of America.
PeerJ. 2018 Jan 31;6:e4327. doi: 10.7717/peerj.4327. eCollection 2018.
The ubiquitous daily rhythms in mammalian physiology are guided by progression of the circadian clock. In mice, systemic disruption of the clock can promote tumor growth. , multiple oncogenes can disrupt the clock. However, due to the difficulties of studying circadian rhythms in solid tissues in humans, whether the clock is disrupted within human tumors has remained unknown. We sought to determine the state of the circadian clock in human cancer using publicly available transcriptome data. We developed a method, called the clock correlation distance (CCD), to infer circadian clock progression in a group of samples based on the co-expression of 12 clock genes. Our method can be applied to modestly sized datasets in which samples are not labeled with time of day and coverage of the circadian cycle is incomplete. We used the method to define a signature of clock gene co-expression in healthy mouse organs, then validated the signature in healthy human tissues. By then comparing human tumor and non-tumor samples from twenty datasets of a range of cancer types, we discovered that clock gene co-expression in tumors is consistently perturbed. Subsequent analysis of data from clock gene knockouts in mice suggested that perturbed clock gene co-expression in human cancer is not caused solely by the inactivation of clock genes. Furthermore, focusing on lung cancer, we found that human lung tumors showed systematic changes in expression in a large set of genes previously inferred to be rhythmic in healthy lung. Our findings suggest that clock progression is dysregulated in many solid human cancers and that this dysregulation could have broad effects on circadian physiology within tumors. In addition, our approach opens the door to using publicly available data to infer circadian clock progression in a multitude of human phenotypes.
哺乳动物生理学中普遍存在的日常节律受生物钟进程的引导。在小鼠中,生物钟的系统性破坏会促进肿瘤生长。此外,多种癌基因会破坏生物钟。然而,由于研究人类实体组织中昼夜节律存在困难,人类肿瘤内的生物钟是否被破坏仍不清楚。我们试图利用公开可用的转录组数据来确定人类癌症中生物钟的状态。我们开发了一种名为生物钟相关距离(CCD)的方法,基于12个生物钟基因的共表达来推断一组样本中的生物钟进程。我们的方法可应用于样本未按一天中的时间标记且昼夜周期覆盖不完整的适度规模数据集。我们用该方法定义了健康小鼠器官中生物钟基因共表达的特征,然后在健康人类组织中验证了该特征。通过比较来自一系列癌症类型的20个数据集的人类肿瘤和非肿瘤样本,我们发现肿瘤中生物钟基因的共表达持续受到干扰。随后对小鼠生物钟基因敲除数据的分析表明,人类癌症中生物钟基因共表达的干扰并非仅由生物钟基因的失活引起。此外,聚焦于肺癌,我们发现人类肺肿瘤在一大组先前推断在健康肺中有节律的基因的表达上呈现出系统性变化。我们的研究结果表明,许多人类实体癌症中生物钟进程失调,这种失调可能对肿瘤内的昼夜生理产生广泛影响。此外,我们的方法为利用公开可用数据推断多种人类表型中的生物钟进程打开了大门。