том 23 издание 1 номер публикации 57

The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells

Тип публикацииJournal Article
Дата публикации2022-01-19
scimago Q1
wos Q1
БС2
SJR0.641
CiteScore6.9
Impact factor4.0
ISSN15309932
Drug Discovery
General Medicine
Pharmaceutical Science
Agronomy and Crop Science
Ecology, Evolution, Behavior and Systematics
Aquatic Science
Ecology
Краткое описание
The aim, as proof of concept, was to optimize niosomal formulations of tamoxifen in terms of size, morphology, encapsulation efficiency, and release kinetics for further treatment of the breast cancer (BC). Different assays were carried out to evaluate the pro-apoptotic and cytotoxicity impact of tamoxifen-loaded niosomes in two BC cells, MDA-MB-231 and SKBR3. In this study, tamoxifen was loaded in niosomes after optimization in the formulation. The formulation of niosomes supported maximized drug entrapment and minimized their size. The novel formulation showed improvement in storage stability, and after 60 days only, small changes in size, polydispersity index, and drug entrapment were observed. Besides, a pH-dependent release pattern of formulated niosomes displayed slow release at physiological pH (7.4) and a considerable increase of release at acidic pH (5.4), making them a promising candidate for drug delivery in the BC treatment. The cytotoxicity study exhibited high biocompatibility with MCF10A healthy cells, while remarkable inhibitory effects were observed after treatment of cancerous lines, MDA-MB-231, and SKBR3 cells. The IC50 values for the tamoxifen-loaded niosomes were significantly less than other groups. Moreover, treatment with drug-loaded niosomes significantly changed the gene expression pattern of BC cells. Statistically significant down-regulation of cyclin D , cyclin E , VEGFR-1 , MMP-2 , and MMP-9 genes and up-regulation of caspase-3 and caspase-9 were observed. These results were in correlation with cell cycle arrest, lessoned migration capacity, and increased caspase activity and apoptosis induction in cancerous cells. Optimization in the formulation of tamoxifen-loaded niosomes can make them a novel candidate for drug delivery in BC treatment.
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ГОСТ |
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Akbarzadeh I. et al. The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells // AAPS PharmSciTech. 2022. Vol. 23. No. 1. 57
ГОСТ со всеми авторами (до 50) Скопировать
Akbarzadeh I., Farid M., Javidfar M., Zabet N., Shokoohian B., Arki M. K., Shpichka A., Noorbazargan H., Aghdaei H. A., Hossein‐Khannazer N., Timashev P. S., Makvandi P., Vosough M. The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells // AAPS PharmSciTech. 2022. Vol. 23. No. 1. 57
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TY - JOUR
DO - 10.1208/s12249-022-02212-0
UR - https://doi.org/10.1208/s12249-022-02212-0
TI - The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells
T2 - AAPS PharmSciTech
AU - Akbarzadeh, Iman
AU - Farid, Mahsa
AU - Javidfar, Mehrnoosh
AU - Zabet, Negar
AU - Shokoohian, Bahare
AU - Arki, Mandana Kazem
AU - Shpichka, Anastasia
AU - Noorbazargan, Hassan
AU - Aghdaei, Hamid Asadzadeh
AU - Hossein‐Khannazer, Nikoo
AU - Timashev, Petr S.
AU - Makvandi, Pooyan
AU - Vosough, Massoud
PY - 2022
DA - 2022/01/19
PB - Springer Nature
IS - 1
VL - 23
PMID - 35048234
SN - 1530-9932
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@article{2022_Akbarzadeh,
author = {Iman Akbarzadeh and Mahsa Farid and Mehrnoosh Javidfar and Negar Zabet and Bahare Shokoohian and Mandana Kazem Arki and Anastasia Shpichka and Hassan Noorbazargan and Hamid Asadzadeh Aghdaei and Nikoo Hossein‐Khannazer and Petr S. Timashev and Pooyan Makvandi and Massoud Vosough},
title = {The Optimized Formulation of Tamoxifen-Loaded Niosomes Efficiently Induced Apoptosis and Cell Cycle Arrest in Breast Cancer Cells},
journal = {AAPS PharmSciTech},
year = {2022},
volume = {23},
publisher = {Springer Nature},
month = {jan},
url = {https://doi.org/10.1208/s12249-022-02212-0},
number = {1},
pages = {57},
doi = {10.1208/s12249-022-02212-0}
}