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Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies
Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757829/ https://www.ncbi.nlm.nih.gov/pubmed/36525288 http://dx.doi.org/10.7554/eLife.80981 |
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author | Wild, Sophia A Cannell, Ian G Nicholls, Ashley Kania, Katarzyna Bressan, Dario Hannon, Gregory J Sawicka, Kirsty |
author_facet | Wild, Sophia A Cannell, Ian G Nicholls, Ashley Kania, Katarzyna Bressan, Dario Hannon, Gregory J Sawicka, Kirsty |
author_sort | Wild, Sophia A |
collection | PubMed |
description | Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics with WILD-seq; Wholistic Interrogation of Lineage Dynamics by sequencing, in mouse models of triple-negative breast cancer (TNBC) to understand response and resistance to therapy, including BET bromodomain inhibition and taxane-based chemotherapy. These analyses revealed oxidative stress protection by NRF2 as a major mechanism of taxane resistance and led to the discovery that our tumour models are collaterally sensitive to asparagine deprivation therapy using the clinical stage drug L-asparaginase after frontline treatment with docetaxel. In summary, clonal transcriptomics with WILD-seq identifies mechanisms of resistance to chemotherapy that are also operative in patients and pin points asparagine bioavailability as a druggable vulnerability of taxane-resistant lineages. |
format | Online Article Text |
id | pubmed-9757829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-97578292022-12-17 Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies Wild, Sophia A Cannell, Ian G Nicholls, Ashley Kania, Katarzyna Bressan, Dario Hannon, Gregory J Sawicka, Kirsty eLife Cancer Biology Tumour heterogeneity is thought to be a major barrier to successful cancer treatment due to the presence of drug resistant clonal lineages. However, identifying the characteristics of such lineages that underpin resistance to therapy has remained challenging. Here, we utilise clonal transcriptomics with WILD-seq; Wholistic Interrogation of Lineage Dynamics by sequencing, in mouse models of triple-negative breast cancer (TNBC) to understand response and resistance to therapy, including BET bromodomain inhibition and taxane-based chemotherapy. These analyses revealed oxidative stress protection by NRF2 as a major mechanism of taxane resistance and led to the discovery that our tumour models are collaterally sensitive to asparagine deprivation therapy using the clinical stage drug L-asparaginase after frontline treatment with docetaxel. In summary, clonal transcriptomics with WILD-seq identifies mechanisms of resistance to chemotherapy that are also operative in patients and pin points asparagine bioavailability as a druggable vulnerability of taxane-resistant lineages. eLife Sciences Publications, Ltd 2022-12-16 /pmc/articles/PMC9757829/ /pubmed/36525288 http://dx.doi.org/10.7554/eLife.80981 Text en © 2022, Wild, Cannell et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cancer Biology Wild, Sophia A Cannell, Ian G Nicholls, Ashley Kania, Katarzyna Bressan, Dario Hannon, Gregory J Sawicka, Kirsty Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title | Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title_full | Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title_fullStr | Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title_full_unstemmed | Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title_short | Clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
title_sort | clonal transcriptomics identifies mechanisms of chemoresistance and empowers rational design of combination therapies |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757829/ https://www.ncbi.nlm.nih.gov/pubmed/36525288 http://dx.doi.org/10.7554/eLife.80981 |
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