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A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches
Nucleotide excision repair (NER) resolves DNA adducts, such as those caused by ultraviolet light. Deficient NER (dNER) results in a higher mutation rate that can predispose to cancer development and premature ageing phenotypes. Here, we used isogenic dNER model cell lines to establish a gene express...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125907/ https://www.ncbi.nlm.nih.gov/pubmed/34066883 http://dx.doi.org/10.3390/ijms22095008 |
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author | Wei, Rongbin Dai, Hui Zhang, Jing Shih, David J. H. Liang, Yulong Xiao, Pengfeng McGrail, Daniel J. Lin, Shiaw-Yih |
author_facet | Wei, Rongbin Dai, Hui Zhang, Jing Shih, David J. H. Liang, Yulong Xiao, Pengfeng McGrail, Daniel J. Lin, Shiaw-Yih |
author_sort | Wei, Rongbin |
collection | PubMed |
description | Nucleotide excision repair (NER) resolves DNA adducts, such as those caused by ultraviolet light. Deficient NER (dNER) results in a higher mutation rate that can predispose to cancer development and premature ageing phenotypes. Here, we used isogenic dNER model cell lines to establish a gene expression signature that can accurately predict functional NER capacity in both cell lines and patient samples. Critically, none of the identified NER deficient cell lines harbored mutations in any NER genes, suggesting that the prevalence of NER defects may currently be underestimated. Identification of compounds that induce the dNER gene expression signature led to the discovery that NER can be functionally impaired by GSK3 inhibition, leading to synergy when combined with cisplatin treatment. Furthermore, we predicted and validated multiple novel drugs that are synthetically lethal with NER defects using the dNER gene signature as a drug discovery platform. Taken together, our work provides a dynamic predictor of NER function that may be applied for therapeutic stratification as well as development of novel biological insights in human tumors. |
format | Online Article Text |
id | pubmed-8125907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81259072021-05-17 A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches Wei, Rongbin Dai, Hui Zhang, Jing Shih, David J. H. Liang, Yulong Xiao, Pengfeng McGrail, Daniel J. Lin, Shiaw-Yih Int J Mol Sci Article Nucleotide excision repair (NER) resolves DNA adducts, such as those caused by ultraviolet light. Deficient NER (dNER) results in a higher mutation rate that can predispose to cancer development and premature ageing phenotypes. Here, we used isogenic dNER model cell lines to establish a gene expression signature that can accurately predict functional NER capacity in both cell lines and patient samples. Critically, none of the identified NER deficient cell lines harbored mutations in any NER genes, suggesting that the prevalence of NER defects may currently be underestimated. Identification of compounds that induce the dNER gene expression signature led to the discovery that NER can be functionally impaired by GSK3 inhibition, leading to synergy when combined with cisplatin treatment. Furthermore, we predicted and validated multiple novel drugs that are synthetically lethal with NER defects using the dNER gene signature as a drug discovery platform. Taken together, our work provides a dynamic predictor of NER function that may be applied for therapeutic stratification as well as development of novel biological insights in human tumors. MDPI 2021-05-08 /pmc/articles/PMC8125907/ /pubmed/34066883 http://dx.doi.org/10.3390/ijms22095008 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wei, Rongbin Dai, Hui Zhang, Jing Shih, David J. H. Liang, Yulong Xiao, Pengfeng McGrail, Daniel J. Lin, Shiaw-Yih A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title | A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title_full | A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title_fullStr | A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title_full_unstemmed | A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title_short | A Gene Expression Signature to Predict Nucleotide Excision Repair Defects and Novel Therapeutic Approaches |
title_sort | gene expression signature to predict nucleotide excision repair defects and novel therapeutic approaches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125907/ https://www.ncbi.nlm.nih.gov/pubmed/34066883 http://dx.doi.org/10.3390/ijms22095008 |
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