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A novel mutation panel for predicting etoposide resistance in small-cell lung cancer

PURPOSE: Platinum-based chemotherapy, consisting of etoposide and cisplatin (EP), has been the cornerstone of therapy for extensive-stage small-cell lung cancer (ES-SCLC) for decades. Despite the marked initial sensitivity of SCLC to chemotherapy, EP regimens cannot avoid the emergence of drug resis...

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Autores principales: Qiu, Zhengang, Lin, Anqi, Li, Kun, Lin, Weiyin, Wang, Qiongyao, Wei, Ting, Zhu, Weiliang, Luo, Peng, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594009/
https://www.ncbi.nlm.nih.gov/pubmed/31417239
http://dx.doi.org/10.2147/DDDT.S205633
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author Qiu, Zhengang
Lin, Anqi
Li, Kun
Lin, Weiyin
Wang, Qiongyao
Wei, Ting
Zhu, Weiliang
Luo, Peng
Zhang, Jian
author_facet Qiu, Zhengang
Lin, Anqi
Li, Kun
Lin, Weiyin
Wang, Qiongyao
Wei, Ting
Zhu, Weiliang
Luo, Peng
Zhang, Jian
author_sort Qiu, Zhengang
collection PubMed
description PURPOSE: Platinum-based chemotherapy, consisting of etoposide and cisplatin (EP), has been the cornerstone of therapy for extensive-stage small-cell lung cancer (ES-SCLC) for decades. Despite the marked initial sensitivity of SCLC to chemotherapy, EP regimens cannot avoid the emergence of drug resistance in clinical practice. With the rise of new chemotherapy regimens in recent years and the primary resistance or insensitivity of ES-SCLC to EP regimens, it is desirable to be able to identify patients with resistant or insensitive ES-SCLC. METHODS: The sequencing and drug sensitivity data of SCLC cell lines were provided by The Genomics of Drug Sensitivity in Cancer Project (GDSC). The data regarding sensitivity to etoposide of 54 SCLC cell lines were analyzed, and etoposide-sensitive cell lines and etoposide-resistant cell lines were differentiated according to the IC50 values defined by the GDSC. ROC curve analysis was performed on all mutations and combinations of mutations to select the optimal panel to predict resistance to etoposide. RESULTS: ROC analysis of etoposide resistance revealed that the most significant single gene mutation indicating resistance to etoposide was CSMD3, and the accuracy of predicting resistance to etoposide proved to be the highest when there was any mutation in CSMD3/PCLO/RYR1/EPB41L3, area under the curve =0.804 (95% confidence interval: 0.679–0.930,P<0.001). CONCLUSION: This study found that a panel with four genes (CSMD3, EPB41L3, PCLO, and RYR1) can accurately predict sensitivity to etoposide. These findings provide new insights into the overall treatment for patients with ES-SCLC that is resistant or insensitive to etoposide.
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spelling pubmed-65940092019-08-15 A novel mutation panel for predicting etoposide resistance in small-cell lung cancer Qiu, Zhengang Lin, Anqi Li, Kun Lin, Weiyin Wang, Qiongyao Wei, Ting Zhu, Weiliang Luo, Peng Zhang, Jian Drug Des Devel Ther Original Research PURPOSE: Platinum-based chemotherapy, consisting of etoposide and cisplatin (EP), has been the cornerstone of therapy for extensive-stage small-cell lung cancer (ES-SCLC) for decades. Despite the marked initial sensitivity of SCLC to chemotherapy, EP regimens cannot avoid the emergence of drug resistance in clinical practice. With the rise of new chemotherapy regimens in recent years and the primary resistance or insensitivity of ES-SCLC to EP regimens, it is desirable to be able to identify patients with resistant or insensitive ES-SCLC. METHODS: The sequencing and drug sensitivity data of SCLC cell lines were provided by The Genomics of Drug Sensitivity in Cancer Project (GDSC). The data regarding sensitivity to etoposide of 54 SCLC cell lines were analyzed, and etoposide-sensitive cell lines and etoposide-resistant cell lines were differentiated according to the IC50 values defined by the GDSC. ROC curve analysis was performed on all mutations and combinations of mutations to select the optimal panel to predict resistance to etoposide. RESULTS: ROC analysis of etoposide resistance revealed that the most significant single gene mutation indicating resistance to etoposide was CSMD3, and the accuracy of predicting resistance to etoposide proved to be the highest when there was any mutation in CSMD3/PCLO/RYR1/EPB41L3, area under the curve =0.804 (95% confidence interval: 0.679–0.930,P<0.001). CONCLUSION: This study found that a panel with four genes (CSMD3, EPB41L3, PCLO, and RYR1) can accurately predict sensitivity to etoposide. These findings provide new insights into the overall treatment for patients with ES-SCLC that is resistant or insensitive to etoposide. Dove 2019-06-21 /pmc/articles/PMC6594009/ /pubmed/31417239 http://dx.doi.org/10.2147/DDDT.S205633 Text en © 2019 Qiu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Qiu, Zhengang
Lin, Anqi
Li, Kun
Lin, Weiyin
Wang, Qiongyao
Wei, Ting
Zhu, Weiliang
Luo, Peng
Zhang, Jian
A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title_full A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title_fullStr A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title_full_unstemmed A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title_short A novel mutation panel for predicting etoposide resistance in small-cell lung cancer
title_sort novel mutation panel for predicting etoposide resistance in small-cell lung cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594009/
https://www.ncbi.nlm.nih.gov/pubmed/31417239
http://dx.doi.org/10.2147/DDDT.S205633
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