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The circadian clock is disrupted in pancreatic cancer

Disruption of the circadian clock is linked to cancer development and progression. Establishing this connection has proven beneficial for understanding cancer pathogenesis, determining prognosis, and uncovering novel therapeutic targets. However, barriers to characterizing the circadian clock in hum...

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Autores principales: Schwartz, Patrick B., Nukaya, Manabu, Berres, Mark E., Rubinstein, Clifford D., Wu, Gang, Hogenesch, John B., Bradfield, Christopher A., Ronnekleiv-Kelly, Sean M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263320/
https://www.ncbi.nlm.nih.gov/pubmed/37262074
http://dx.doi.org/10.1371/journal.pgen.1010770
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author Schwartz, Patrick B.
Nukaya, Manabu
Berres, Mark E.
Rubinstein, Clifford D.
Wu, Gang
Hogenesch, John B.
Bradfield, Christopher A.
Ronnekleiv-Kelly, Sean M.
author_facet Schwartz, Patrick B.
Nukaya, Manabu
Berres, Mark E.
Rubinstein, Clifford D.
Wu, Gang
Hogenesch, John B.
Bradfield, Christopher A.
Ronnekleiv-Kelly, Sean M.
author_sort Schwartz, Patrick B.
collection PubMed
description Disruption of the circadian clock is linked to cancer development and progression. Establishing this connection has proven beneficial for understanding cancer pathogenesis, determining prognosis, and uncovering novel therapeutic targets. However, barriers to characterizing the circadian clock in human pancreas and human pancreatic cancer–one of the deadliest malignancies–have hindered an appreciation of its role in this cancer. Here, we employed normalized coefficient of variation (nCV) and clock correlation analysis in human population-level data to determine the functioning of the circadian clock in pancreas cancer and adjacent normal tissue. We found a substantially attenuated clock in the pancreatic cancer tissue. Then we exploited our existing mouse pancreatic transcriptome data to perform an analysis of the human normal and pancreas cancer samples using a machine learning method, cyclic ordering by periodic structure (CYCLOPS). Through CYCLOPS ordering, we confirmed the nCV and clock correlation findings of an intact circadian clock in normal pancreas with robust cycling of several core clock genes. However, in pancreas cancer, there was a loss of rhythmicity of many core clock genes with an inability to effectively order the cancer samples, providing substantive evidence of a dysregulated clock. The implications of clock disruption were further assessed with a Bmal1 knockout pancreas cancer model, which revealed that an arrhythmic clock caused accelerated cancer growth and worse survival, accompanied by chemoresistance and enrichment of key cancer-related pathways. These findings provide strong evidence for clock disruption in human pancreas cancer and demonstrate a link between circadian disruption and pancreas cancer progression.
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spelling pubmed-102633202023-06-15 The circadian clock is disrupted in pancreatic cancer Schwartz, Patrick B. Nukaya, Manabu Berres, Mark E. Rubinstein, Clifford D. Wu, Gang Hogenesch, John B. Bradfield, Christopher A. Ronnekleiv-Kelly, Sean M. PLoS Genet Research Article Disruption of the circadian clock is linked to cancer development and progression. Establishing this connection has proven beneficial for understanding cancer pathogenesis, determining prognosis, and uncovering novel therapeutic targets. However, barriers to characterizing the circadian clock in human pancreas and human pancreatic cancer–one of the deadliest malignancies–have hindered an appreciation of its role in this cancer. Here, we employed normalized coefficient of variation (nCV) and clock correlation analysis in human population-level data to determine the functioning of the circadian clock in pancreas cancer and adjacent normal tissue. We found a substantially attenuated clock in the pancreatic cancer tissue. Then we exploited our existing mouse pancreatic transcriptome data to perform an analysis of the human normal and pancreas cancer samples using a machine learning method, cyclic ordering by periodic structure (CYCLOPS). Through CYCLOPS ordering, we confirmed the nCV and clock correlation findings of an intact circadian clock in normal pancreas with robust cycling of several core clock genes. However, in pancreas cancer, there was a loss of rhythmicity of many core clock genes with an inability to effectively order the cancer samples, providing substantive evidence of a dysregulated clock. The implications of clock disruption were further assessed with a Bmal1 knockout pancreas cancer model, which revealed that an arrhythmic clock caused accelerated cancer growth and worse survival, accompanied by chemoresistance and enrichment of key cancer-related pathways. These findings provide strong evidence for clock disruption in human pancreas cancer and demonstrate a link between circadian disruption and pancreas cancer progression. Public Library of Science 2023-06-01 /pmc/articles/PMC10263320/ /pubmed/37262074 http://dx.doi.org/10.1371/journal.pgen.1010770 Text en © 2023 Schwartz et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Schwartz, Patrick B.
Nukaya, Manabu
Berres, Mark E.
Rubinstein, Clifford D.
Wu, Gang
Hogenesch, John B.
Bradfield, Christopher A.
Ronnekleiv-Kelly, Sean M.
The circadian clock is disrupted in pancreatic cancer
title The circadian clock is disrupted in pancreatic cancer
title_full The circadian clock is disrupted in pancreatic cancer
title_fullStr The circadian clock is disrupted in pancreatic cancer
title_full_unstemmed The circadian clock is disrupted in pancreatic cancer
title_short The circadian clock is disrupted in pancreatic cancer
title_sort circadian clock is disrupted in pancreatic cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263320/
https://www.ncbi.nlm.nih.gov/pubmed/37262074
http://dx.doi.org/10.1371/journal.pgen.1010770
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