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Circadian and Immunity Cycle Talk in Cancer Destination: From Biological Aspects to in Silico Analysis Publisher



Mirian M1 ; Hariri A1 ; Yadollahi M2 ; Kohandel M3
Authors
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Authors Affiliations
  1. 1. Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, 8174673461, Iran
  2. 2. School of Pharmacology and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, 8174673461, Iran
  3. 3. Department of Applied Mathematics, University of Waterloo, Waterloo, N2L 3G1, ON, Canada

Source: Cancers Published:2022


Abstract

Cancer is the leading cause of death and a major problem to increasing life expectancy worldwide. In recent years, various approaches such as surgery, chemotherapy, radiation, targeted therapies, and the newest pillar, immunotherapy, have been developed to treat cancer. Among key factors impacting the effectiveness of treatment, the administration of drugs based on the circadian rhythm in a person and within individuals can significantly elevate drug efficacy, reduce adverse effects, and prevent drug resistance. Circadian clocks also affect various physiological processes such as the sleep cycle, body temperature cycle, digestive and cardiovascular processes, and endocrine and immune systems. In recent years, to achieve precision patterns for drug administration using computational methods, the interaction of the effects of drugs and their cellular pathways has been considered more seriously. Integrated data-derived pathological images and genomics, transcriptomics, and proteomics analyses have provided an understanding of the molecular basis of cancer and dramatically revealed interactions between circadian and immunity cycles. Here, we describe crosstalk between the circadian cycle signaling pathway and immunity cycle in cancer and discuss how tumor microenvironment affects the influence on treatment process based on individuals’ genetic differences. Moreover, we highlight recent advances in computational modeling that pave the way for personalized immune chronotherapy. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.