Cargando…

Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells

DNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges for successful treatment outcomes. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic...

Descripción completa

Detalles Bibliográficos
Autores principales: Challis, D., Lippis, T., Wilson, R., Wilkinson, E., Dickinson, J., Black, A., Azimi, I., Holloway, A., Taberlay, P., Brettingham-Moore, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193866/
https://www.ncbi.nlm.nih.gov/pubmed/37196186
http://dx.doi.org/10.1080/15592294.2023.2214047
_version_ 1785043901593157632
author Challis, D.
Lippis, T.
Wilson, R.
Wilkinson, E.
Dickinson, J.
Black, A.
Azimi, I.
Holloway, A.
Taberlay, P.
Brettingham-Moore, K.
author_facet Challis, D.
Lippis, T.
Wilson, R.
Wilkinson, E.
Dickinson, J.
Black, A.
Azimi, I.
Holloway, A.
Taberlay, P.
Brettingham-Moore, K.
author_sort Challis, D.
collection PubMed
description DNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges for successful treatment outcomes. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic model of prostate cancer exhibiting more aggressive characteristics to better understand the molecular signatures associated with resistance and metastasis. 22Rv1 cells were repeatedly exposed to DNA damage daily for 6 weeks, similar to patient treatment regimes. Using Illumina Methylation EPIC arrays and RNA-seq, we compared DNA methylation and transcriptional profiles between the parental 22Rv1 cell line and the lineage exposed to prolonged DNA damage. Here we show that repeated DNA damage drives the molecular evolution of cancer cells to a more aggressive phenotype and identify molecular candidates behind this process. Total DNA methylation was increased while RNA-seq demonstrated these cells had dysregulated expression of genes involved in metabolism and the unfolded protein response (UPR) with Asparagine synthetase (ASNS) identified as central to this process. Despite the limited overlap between RNA-seq and DNA methylation, oxoglutarate dehydrogenase-like (OGDHL) was identified as altered in both data sets. Utilising a second approach we profiled the proteome in 22Rv1 cells following a single dose of radiotherapy. This analysis also highlighted the UPR in response to DNA damage. Together, these analyses identified dysregulation of metabolism and the UPR and identified ASNS and OGDHL as candidates for resistance to DNA damage. This work provides critical insight into molecular changes which underpin treatment resistance and metastasis.
format Online
Article
Text
id pubmed-10193866
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-101938662023-05-19 Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells Challis, D. Lippis, T. Wilson, R. Wilkinson, E. Dickinson, J. Black, A. Azimi, I. Holloway, A. Taberlay, P. Brettingham-Moore, K. Epigenetics Research Paper DNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges for successful treatment outcomes. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic model of prostate cancer exhibiting more aggressive characteristics to better understand the molecular signatures associated with resistance and metastasis. 22Rv1 cells were repeatedly exposed to DNA damage daily for 6 weeks, similar to patient treatment regimes. Using Illumina Methylation EPIC arrays and RNA-seq, we compared DNA methylation and transcriptional profiles between the parental 22Rv1 cell line and the lineage exposed to prolonged DNA damage. Here we show that repeated DNA damage drives the molecular evolution of cancer cells to a more aggressive phenotype and identify molecular candidates behind this process. Total DNA methylation was increased while RNA-seq demonstrated these cells had dysregulated expression of genes involved in metabolism and the unfolded protein response (UPR) with Asparagine synthetase (ASNS) identified as central to this process. Despite the limited overlap between RNA-seq and DNA methylation, oxoglutarate dehydrogenase-like (OGDHL) was identified as altered in both data sets. Utilising a second approach we profiled the proteome in 22Rv1 cells following a single dose of radiotherapy. This analysis also highlighted the UPR in response to DNA damage. Together, these analyses identified dysregulation of metabolism and the UPR and identified ASNS and OGDHL as candidates for resistance to DNA damage. This work provides critical insight into molecular changes which underpin treatment resistance and metastasis. Taylor & Francis 2023-05-17 /pmc/articles/PMC10193866/ /pubmed/37196186 http://dx.doi.org/10.1080/15592294.2023.2214047 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Research Paper
Challis, D.
Lippis, T.
Wilson, R.
Wilkinson, E.
Dickinson, J.
Black, A.
Azimi, I.
Holloway, A.
Taberlay, P.
Brettingham-Moore, K.
Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title_full Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title_fullStr Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title_full_unstemmed Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title_short Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells
title_sort multiomics analysis of adaptation to repeated dna damage in prostate cancer cells
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193866/
https://www.ncbi.nlm.nih.gov/pubmed/37196186
http://dx.doi.org/10.1080/15592294.2023.2214047
work_keys_str_mv AT challisd multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT lippist multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT wilsonr multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT wilkinsone multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT dickinsonj multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT blacka multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT azimii multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT hollowaya multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT taberlayp multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells
AT brettinghammoorek multiomicsanalysisofadaptationtorepeateddnadamageinprostatecancercells