Prognostic values of the core components of the mammalian circadian clock in prostate cancer

Background Prostate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not b...

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Main Authors: Wenchang Yue, Xiao Du, Xuhong Wang, Niu Gui, Weijie Zhang, Jiale Sun, Jiawei You, Dong He, Xinyu Geng, Yuhua Huang, Jianquan Hou
Format: Article
Language:English
Published: PeerJ Inc. 2021-12-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/12539.pdf
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author Wenchang Yue
Xiao Du
Xuhong Wang
Niu Gui
Weijie Zhang
Jiale Sun
Jiawei You
Dong He
Xinyu Geng
Yuhua Huang
Jianquan Hou
author_facet Wenchang Yue
Xiao Du
Xuhong Wang
Niu Gui
Weijie Zhang
Jiale Sun
Jiawei You
Dong He
Xinyu Geng
Yuhua Huang
Jianquan Hou
author_sort Wenchang Yue
collection DOAJ
description Background Prostate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not been fully clarified. Methods We firstly collected 605 patients with PC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis was carried out for each CCMCC. Then, we investigated the prognostic ability of CCMCCs by Cox regression analysis. Independent prognostic signatures were extracted for the establishment of the circadian clock-based risk score model. We explored the predictive performance of the risk score model in the TCGA training cohort and the independent GEO dataset. Finally, the relationships between risk score and clinicopathological parameters, biological processes, and signaling pathways were evaluated. Results The expression levels of CCMCCs were widely correlated with age, tumor status, lymph node status, disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). Nine circadian clock genes, including CSNK1D, BTRC, CLOCK, CSNK1E, FBXL3, PRKAA2, DBP, NR1D2, and RORB, were identified as vital prognostic factors in PC and were used to construct the circadian clock-based risk score model. For DFS, the area under the 3-year or 5-year receiver operating characteristic curves ranged from 0.728 to 0.821, suggesting better predictive performance. When compared with T3-4N1 stage, PC patients at T2N0 stage might be benefited more from the circadian clock-based risk score model. Furthermore, a high circadian clock-based risk score indicated shorter DFS (p < 0.0001), early progression (p < 0.0001), and higher 5-year death rate (p = 0.007) in PC. The risk score was related to tumor status (p < 0.001), lymph node status (p < 0.001), and ribosome-related biogenesis and pathways. Conclusions The vital roles of circadian clock genes in clinical outcomes were fully depicted. The circadian clock-based risk score model could reflect and predict the prognosis of patients with PC.
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spelling doaj.art-04daedd49700465795e45139be9e450e2023-12-03T13:36:12ZengPeerJ Inc.PeerJ2167-83592021-12-019e1253910.7717/peerj.12539Prognostic values of the core components of the mammalian circadian clock in prostate cancerWenchang Yue0Xiao Du1Xuhong Wang2Niu Gui3Weijie Zhang4Jiale Sun5Jiawei You6Dong He7Xinyu Geng8Yuhua Huang9Jianquan Hou10Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, Tongcheng people’s Hospital, Tongcheng, ChinaGeneral Surgery Ward 2, Fengtaixian Hospital of Chinese Medicine, Huainan, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaBackground Prostate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not been fully clarified. Methods We firstly collected 605 patients with PC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis was carried out for each CCMCC. Then, we investigated the prognostic ability of CCMCCs by Cox regression analysis. Independent prognostic signatures were extracted for the establishment of the circadian clock-based risk score model. We explored the predictive performance of the risk score model in the TCGA training cohort and the independent GEO dataset. Finally, the relationships between risk score and clinicopathological parameters, biological processes, and signaling pathways were evaluated. Results The expression levels of CCMCCs were widely correlated with age, tumor status, lymph node status, disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). Nine circadian clock genes, including CSNK1D, BTRC, CLOCK, CSNK1E, FBXL3, PRKAA2, DBP, NR1D2, and RORB, were identified as vital prognostic factors in PC and were used to construct the circadian clock-based risk score model. For DFS, the area under the 3-year or 5-year receiver operating characteristic curves ranged from 0.728 to 0.821, suggesting better predictive performance. When compared with T3-4N1 stage, PC patients at T2N0 stage might be benefited more from the circadian clock-based risk score model. Furthermore, a high circadian clock-based risk score indicated shorter DFS (p < 0.0001), early progression (p < 0.0001), and higher 5-year death rate (p = 0.007) in PC. The risk score was related to tumor status (p < 0.001), lymph node status (p < 0.001), and ribosome-related biogenesis and pathways. Conclusions The vital roles of circadian clock genes in clinical outcomes were fully depicted. The circadian clock-based risk score model could reflect and predict the prognosis of patients with PC.https://peerj.com/articles/12539.pdfProstate cancerThe core components of the mammalian circadian clock (CCMCCs)PrognosisSurvivalRisk score model
spellingShingle Wenchang Yue
Xiao Du
Xuhong Wang
Niu Gui
Weijie Zhang
Jiale Sun
Jiawei You
Dong He
Xinyu Geng
Yuhua Huang
Jianquan Hou
Prognostic values of the core components of the mammalian circadian clock in prostate cancer
PeerJ
Prostate cancer
The core components of the mammalian circadian clock (CCMCCs)
Prognosis
Survival
Risk score model
title Prognostic values of the core components of the mammalian circadian clock in prostate cancer
title_full Prognostic values of the core components of the mammalian circadian clock in prostate cancer
title_fullStr Prognostic values of the core components of the mammalian circadian clock in prostate cancer
title_full_unstemmed Prognostic values of the core components of the mammalian circadian clock in prostate cancer
title_short Prognostic values of the core components of the mammalian circadian clock in prostate cancer
title_sort prognostic values of the core components of the mammalian circadian clock in prostate cancer
topic Prostate cancer
The core components of the mammalian circadian clock (CCMCCs)
Prognosis
Survival
Risk score model
url https://peerj.com/articles/12539.pdf
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