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Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines

BACKGROUND: Cell lines are often used to assess the resistance of anticancer drugs when in vivo analysis is not possible. However, the process for establishing anti-cancer drug resistance in cell cultures in vitro and the subsequent method of then evaluating resistance are not clearly established. T...

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Autores principales: Yu, Hoon, Kim, Dong-Jin, Choi, Hye-Young, Kim, So Myoung, Rahaman, Md. Intazur, Kim, Young-Hoon, Kim, So Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464141/
https://www.ncbi.nlm.nih.gov/pubmed/34560848
http://dx.doi.org/10.1186/s12885-021-08784-7
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author Yu, Hoon
Kim, Dong-Jin
Choi, Hye-Young
Kim, So Myoung
Rahaman, Md. Intazur
Kim, Young-Hoon
Kim, So Won
author_facet Yu, Hoon
Kim, Dong-Jin
Choi, Hye-Young
Kim, So Myoung
Rahaman, Md. Intazur
Kim, Young-Hoon
Kim, So Won
author_sort Yu, Hoon
collection PubMed
description BACKGROUND: Cell lines are often used to assess the resistance of anticancer drugs when in vivo analysis is not possible. However, the process for establishing anti-cancer drug resistance in cell cultures in vitro and the subsequent method of then evaluating resistance are not clearly established. Traditionally, the IC(50) is the most commonly used indicator of resistance evaluation but it cannot represent the effectiveness of anti-cancer drugs in a clinical setting and lacks reliability because it is heavily affected by the cell doubling time. Hence, new indicators that can evaluate anti-cancer drug resistance are needed. METHODS: A novel resistance evaluation methodology was validated in this present study by establishing sunitinib resistance in renal cell carcinoma cells and assessing the cross-resistance of five different anti-cancer drugs. RESULTS: It was confirmed in this present study that the IC(50) does not reflect the cell proliferation rates in a way that represents anti-cancer drug resistance. An alternative indicator that can also be clinically meaningful when using in vitro cell line systems is GI(100). Additionally, the GR(100) allows different cell populations to be calibrated on the same basis when multiple experimental results are compared. CONCLUSION: Since the GR(100) has properties that indicate the efficiency of anti-cancer drugs, both the efficacy and GR(100) of a particular anti-cancer drug can be used to effectively assess the resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08784-7.
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spelling pubmed-84641412021-09-27 Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines Yu, Hoon Kim, Dong-Jin Choi, Hye-Young Kim, So Myoung Rahaman, Md. Intazur Kim, Young-Hoon Kim, So Won BMC Cancer Research BACKGROUND: Cell lines are often used to assess the resistance of anticancer drugs when in vivo analysis is not possible. However, the process for establishing anti-cancer drug resistance in cell cultures in vitro and the subsequent method of then evaluating resistance are not clearly established. Traditionally, the IC(50) is the most commonly used indicator of resistance evaluation but it cannot represent the effectiveness of anti-cancer drugs in a clinical setting and lacks reliability because it is heavily affected by the cell doubling time. Hence, new indicators that can evaluate anti-cancer drug resistance are needed. METHODS: A novel resistance evaluation methodology was validated in this present study by establishing sunitinib resistance in renal cell carcinoma cells and assessing the cross-resistance of five different anti-cancer drugs. RESULTS: It was confirmed in this present study that the IC(50) does not reflect the cell proliferation rates in a way that represents anti-cancer drug resistance. An alternative indicator that can also be clinically meaningful when using in vitro cell line systems is GI(100). Additionally, the GR(100) allows different cell populations to be calibrated on the same basis when multiple experimental results are compared. CONCLUSION: Since the GR(100) has properties that indicate the efficiency of anti-cancer drugs, both the efficacy and GR(100) of a particular anti-cancer drug can be used to effectively assess the resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08784-7. BioMed Central 2021-09-25 /pmc/articles/PMC8464141/ /pubmed/34560848 http://dx.doi.org/10.1186/s12885-021-08784-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Hoon
Kim, Dong-Jin
Choi, Hye-Young
Kim, So Myoung
Rahaman, Md. Intazur
Kim, Young-Hoon
Kim, So Won
Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title_full Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title_fullStr Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title_full_unstemmed Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title_short Prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
title_sort prospective pharmacological methodology for establishing and evaluating anti-cancer drug resistant cell lines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464141/
https://www.ncbi.nlm.nih.gov/pubmed/34560848
http://dx.doi.org/10.1186/s12885-021-08784-7
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