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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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Detalles Bibliográficos
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
Descripción
Sumario: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.