Circadian clock and cancer: From a viewpoint of cellular differentiation. (28th March 2020)

• Record Type: Journal Article
• Authors: Tsuchiya, Yoshiki; Umemura, Yasuhiro; Yagita, Kazuhiro
• Is Part Of: International journal of urology. Volume 27:Number 6(2020)
• Page Start: 518
• Page End: 524
• Publication Date: 2020-03-28
• Subjects: cancer -- cellular differentiation -- circadian rhythm -- clock gene -- embryonic stem cell; Urology -- Periodicals; Genitourinary organs -- Periodicals; Urologic Diseases -- Periodicals; 616.6005
• DOI: 10.1111/iju.14231
• Languages: English
• ISSNs: 0919-8172

Abstract

Abstract: The circadian clock controls and adapts diverse physiological and behavioral processes according to Earth's 24‐h cycle of environmental changes. The master pacemaker of the mammalian circadian clock resides in the hypothalamic suprachiasmatic nucleus, but almost all cells throughout the body show circadian oscillations in gene expression patterns and associated functions. Recent studies have shown that the circadian clock gradually develops during embryogenesis. Embryonic stem cells and induced pluripotent stem cells do not show circadian oscillations of gene expression, but gradually develop circadian clock oscillation during differentiation; thus, the developmental program of circadian clock emergence appears closely associated with cellular differentiation. Like embryonic stem cells, certain cancer cell types also lack the circadian clock. Given this similarity between embryonic stem cells and cancer cells, interest is growing in the contributions of circadian clock dysfunction to dedifferentiation and cancer development. In this review, we summarize recent advances in our understanding of circadian clock emergence during ontogenesis, and discuss possible associations with cellular differentiation and carcinogenesis. Considering the multiple physiological functions of circadian rhythms, circadian abnormalities might contribute to a host of diseases, including cancer. Insights on circadian function could lead to the identification of biomarkers for cancer diagnosis and prognosis, as well as novel targets for treatment.