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Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions

BACKGROUND: Ultrasound/microbubble (USMB)-mediated sonoporation is a new strategy with minimal procedural invasiveness for targeted and site-specific drug delivery to tumors. The purpose of this study was to explore the effect of different breast cancer cell lines on sonoporation efficiency, and the...

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Autores principales: Qu, Nina, Shi, Dandan, Shang, Mengmeng, Duan, Sujuan, Guo, Lu, Ning, Song, Li, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302661/
https://www.ncbi.nlm.nih.gov/pubmed/30546004
http://dx.doi.org/10.12659/MSM.910790
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author Qu, Nina
Shi, Dandan
Shang, Mengmeng
Duan, Sujuan
Guo, Lu
Ning, Song
Li, Jie
author_facet Qu, Nina
Shi, Dandan
Shang, Mengmeng
Duan, Sujuan
Guo, Lu
Ning, Song
Li, Jie
author_sort Qu, Nina
collection PubMed
description BACKGROUND: Ultrasound/microbubble (USMB)-mediated sonoporation is a new strategy with minimal procedural invasiveness for targeted and site-specific drug delivery to tumors. The purpose of this study was to explore the effect of different breast cancer cell lines on sonoporation efficiency, and then to identify an optimal combination of USMB parameters to maximize the sonoporation efficiency for each tumor cell line. MATERIAL/METHODS: Three drug-sensitive breast cell lines – MCF-7, MDA-MB-231, and MDA-MB-468 – and 1 multidrug resistance (MDR) cell line – MCF-7/ADR – were chosen. An orthogonal array experimental design approach based on 3 levels of 3 parameters (A: microbubble concentration, 10%, 20%, and 30%, B: sound intensity, 0.5, 1.0, and 1.5 W/cm(2), C: irradiation time, 30, 60, and 90 s) was employed to optimize the sonoporation efficiency. RESULTS: The optimal USMB parameter combinations for different cell lines were diverse. Under optimal parameter combinations, the maximum sonoporation efficiency differences between different breast tumor cell lines were statistically significant (MDA-MB-231: 46.70±5.79%, MDA-MB-468: 53.44±5.69%, MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, P<0.05), so were between drug-sensitive cell line and MDR cell line (MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, p=0.026). CONCLUSIONS: Different breast tumor cell lines have their own optimal sonoporation. Drug-resistant MCF-7/ADR cells had higher sonoporation efficiency than drug-sensitive MCF-7 cells. The molecular subtype of tumors should be considered when sonoporation is applied, and optimal parameter combination may have the potential to improve drug-delivery efficiency by increasing the sonoporation efficiency.
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spelling pubmed-63026612019-01-16 Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions Qu, Nina Shi, Dandan Shang, Mengmeng Duan, Sujuan Guo, Lu Ning, Song Li, Jie Med Sci Monit Lab/In Vitro Research BACKGROUND: Ultrasound/microbubble (USMB)-mediated sonoporation is a new strategy with minimal procedural invasiveness for targeted and site-specific drug delivery to tumors. The purpose of this study was to explore the effect of different breast cancer cell lines on sonoporation efficiency, and then to identify an optimal combination of USMB parameters to maximize the sonoporation efficiency for each tumor cell line. MATERIAL/METHODS: Three drug-sensitive breast cell lines – MCF-7, MDA-MB-231, and MDA-MB-468 – and 1 multidrug resistance (MDR) cell line – MCF-7/ADR – were chosen. An orthogonal array experimental design approach based on 3 levels of 3 parameters (A: microbubble concentration, 10%, 20%, and 30%, B: sound intensity, 0.5, 1.0, and 1.5 W/cm(2), C: irradiation time, 30, 60, and 90 s) was employed to optimize the sonoporation efficiency. RESULTS: The optimal USMB parameter combinations for different cell lines were diverse. Under optimal parameter combinations, the maximum sonoporation efficiency differences between different breast tumor cell lines were statistically significant (MDA-MB-231: 46.70±5.79%, MDA-MB-468: 53.44±5.69%, MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, P<0.05), so were between drug-sensitive cell line and MDR cell line (MCF-7: 59.88±5.53%, MCF-7/ADR: 65.39±4.01%, p=0.026). CONCLUSIONS: Different breast tumor cell lines have their own optimal sonoporation. Drug-resistant MCF-7/ADR cells had higher sonoporation efficiency than drug-sensitive MCF-7 cells. The molecular subtype of tumors should be considered when sonoporation is applied, and optimal parameter combination may have the potential to improve drug-delivery efficiency by increasing the sonoporation efficiency. International Scientific Literature, Inc. 2018-12-14 /pmc/articles/PMC6302661/ /pubmed/30546004 http://dx.doi.org/10.12659/MSM.910790 Text en © Med Sci Monit, 2018 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Lab/In Vitro Research
Qu, Nina
Shi, Dandan
Shang, Mengmeng
Duan, Sujuan
Guo, Lu
Ning, Song
Li, Jie
Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title_full Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title_fullStr Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title_full_unstemmed Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title_short Breast Cancer Cell Line Phenotype Affects Sonoporation Efficiency Under Optimal Ultrasound Microbubble Conditions
title_sort breast cancer cell line phenotype affects sonoporation efficiency under optimal ultrasound microbubble conditions
topic Lab/In Vitro Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302661/
https://www.ncbi.nlm.nih.gov/pubmed/30546004
http://dx.doi.org/10.12659/MSM.910790
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