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Systematic functional identification of cancer multi-drug resistance genes
BACKGROUND: Drug resistance is a major obstacle in cancer therapy. To elucidate the genetic factors that regulate sensitivity to anti-cancer drugs, we performed CRISPR-Cas9 knockout screens for resistance to a spectrum of drugs. RESULTS: In addition to known drug targets and resistance mechanisms, t...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006212/ https://www.ncbi.nlm.nih.gov/pubmed/32028983 http://dx.doi.org/10.1186/s13059-020-1940-8 |
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author | Lau, Man-Tat Ghazanfar, Shila Parkin, Ashleigh Chou, Angela Rouaen, Jourdin R. Littleboy, Jamie B. Nessem, Danielle Khuong, Thang M. Nevoltris, Damien Schofield, Peter Langley, David Christ, Daniel Yang, Jean Pajic, Marina Neely, G. Gregory |
author_facet | Lau, Man-Tat Ghazanfar, Shila Parkin, Ashleigh Chou, Angela Rouaen, Jourdin R. Littleboy, Jamie B. Nessem, Danielle Khuong, Thang M. Nevoltris, Damien Schofield, Peter Langley, David Christ, Daniel Yang, Jean Pajic, Marina Neely, G. Gregory |
author_sort | Lau, Man-Tat |
collection | PubMed |
description | BACKGROUND: Drug resistance is a major obstacle in cancer therapy. To elucidate the genetic factors that regulate sensitivity to anti-cancer drugs, we performed CRISPR-Cas9 knockout screens for resistance to a spectrum of drugs. RESULTS: In addition to known drug targets and resistance mechanisms, this study revealed novel insights into drug mechanisms of action, including cellular transporters, drug target effectors, and genes involved in target-relevant pathways. Importantly, we identified ten multi-drug resistance genes, including an uncharacterized gene C1orf115, which we named Required for Drug-induced Death 1 (RDD1). Loss of RDD1 resulted in resistance to five anti-cancer drugs. Finally, targeting RDD1 leads to chemotherapy resistance in mice and low RDD1 expression is associated with poor prognosis in multiple cancers. CONCLUSIONS: Together, we provide a functional landscape of resistance mechanisms to a broad range of chemotherapeutic drugs and highlight RDD1 as a new factor controlling multi-drug resistance. This information can guide personalized therapies or instruct rational drug combinations to minimize acquisition of resistance. |
format | Online Article Text |
id | pubmed-7006212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70062122020-02-11 Systematic functional identification of cancer multi-drug resistance genes Lau, Man-Tat Ghazanfar, Shila Parkin, Ashleigh Chou, Angela Rouaen, Jourdin R. Littleboy, Jamie B. Nessem, Danielle Khuong, Thang M. Nevoltris, Damien Schofield, Peter Langley, David Christ, Daniel Yang, Jean Pajic, Marina Neely, G. Gregory Genome Biol Research BACKGROUND: Drug resistance is a major obstacle in cancer therapy. To elucidate the genetic factors that regulate sensitivity to anti-cancer drugs, we performed CRISPR-Cas9 knockout screens for resistance to a spectrum of drugs. RESULTS: In addition to known drug targets and resistance mechanisms, this study revealed novel insights into drug mechanisms of action, including cellular transporters, drug target effectors, and genes involved in target-relevant pathways. Importantly, we identified ten multi-drug resistance genes, including an uncharacterized gene C1orf115, which we named Required for Drug-induced Death 1 (RDD1). Loss of RDD1 resulted in resistance to five anti-cancer drugs. Finally, targeting RDD1 leads to chemotherapy resistance in mice and low RDD1 expression is associated with poor prognosis in multiple cancers. CONCLUSIONS: Together, we provide a functional landscape of resistance mechanisms to a broad range of chemotherapeutic drugs and highlight RDD1 as a new factor controlling multi-drug resistance. This information can guide personalized therapies or instruct rational drug combinations to minimize acquisition of resistance. BioMed Central 2020-02-07 /pmc/articles/PMC7006212/ /pubmed/32028983 http://dx.doi.org/10.1186/s13059-020-1940-8 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Lau, Man-Tat Ghazanfar, Shila Parkin, Ashleigh Chou, Angela Rouaen, Jourdin R. Littleboy, Jamie B. Nessem, Danielle Khuong, Thang M. Nevoltris, Damien Schofield, Peter Langley, David Christ, Daniel Yang, Jean Pajic, Marina Neely, G. Gregory Systematic functional identification of cancer multi-drug resistance genes |
title | Systematic functional identification of cancer multi-drug resistance genes |
title_full | Systematic functional identification of cancer multi-drug resistance genes |
title_fullStr | Systematic functional identification of cancer multi-drug resistance genes |
title_full_unstemmed | Systematic functional identification of cancer multi-drug resistance genes |
title_short | Systematic functional identification of cancer multi-drug resistance genes |
title_sort | systematic functional identification of cancer multi-drug resistance genes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006212/ https://www.ncbi.nlm.nih.gov/pubmed/32028983 http://dx.doi.org/10.1186/s13059-020-1940-8 |
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