scholarly journals Anti-HER2 VHH Targeted Magnetoliposome for Intelligent Magnetic Resonance Imaging of Breast Cancer Cells

2017 ◽  
Vol 10 (3) ◽  
pp. 263-272 ◽  
Author(s):  
Sepideh Khaleghi ◽  
Fatemeh Rahbarizadeh ◽  
Davoud Ahmadvand ◽  
Hamid Reza Madaah Hosseini
2018 ◽  
Vol 49 (1) ◽  
pp. 271-281 ◽  
Author(s):  
Yin-Hua Jin ◽  
Qi-Feng Hua ◽  
Jian-Jun Zheng ◽  
Xue-Hua Ma ◽  
Tian-Xiang Chen ◽  
...  

Background/Aims: Smart molecular probes are required in the application of Magnetic resonance imaging (MRI) for biochemical and clinical research. This study aims to investigate the diagnostic values of estrogen receptor (ER), progesterone receptor (PR), folate receptor (FR) and human epidermal growth factor receptor 2 (HER-2)-targeted molecular probes in the MRI diagnosis of breast cancer. Methods: Initially, a total of 508 female breast cancer patients were selected for breast cancer subtype classification by immunohistochemistry. Subsequently, the tumor size, lymph node metastasis, and histological grade of different breast cancer subtypes were compared. Molecular probes of Ab-ER-USPIO, Ab-PR-USPIO, Ab-FR-USPIO and Ab-HER-2-USPIO were constructed and screened. The specific binding of molecular probes to breast cancer cells was detected both in vitro and in vivo by Prussian blue staining and MRI using T1 and T2 weighted images. Finally, in vivo toxicity of Ab-HER-2-USPIO was analyzed using hematoxylin and eosin staining. Results: We identified the following subtypes of breast cancer: Luminal A (ER-positive, FR-positive, HER-2-negative), Luminal B (ER-positive, FR-positive, HER-2-positive), HER-2 overexpression (ER-negative, FR-negative, HER-2-positive), and triple-negative breast cancer (ER-negative, FR-negative, HER-2-negative). Featuring favorable in vitro biocompatibility and low in vivo toxicity, Ab-HER-2-USPIO can specifically bind to breast cancer cells BT47 and SKBR3, thus enhancing the quality of T1 weighted MRI images. Conclusion: The results indicate that HER-2-targeted MRI molecular probes may be used in the clinical diagnosis of breast cancer and facilitate the development of promising strategies for breast cancer treatments.


2012 ◽  
Vol 12 (5) ◽  
pp. 331-339 ◽  
Author(s):  
Melania Costantini ◽  
Paolo Belli ◽  
Daniela Distefano ◽  
Enida Bufi ◽  
Marialuisa Di Matteo ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Na Hu ◽  
Jinghao Zhao ◽  
Yong Li ◽  
Quanshui Fu ◽  
Linwei Zhao ◽  
...  

Abstract Background The background parenchymal enhancement at breast magnetic resonance imaging use to predict breast cancer attracts many searchers to draw a possible relationship. However, the results of their relationships were conflicting. This meta-analysis was performed to assess breast cancer frequency associations with background parenchymal enhancement. Methods A systematic literature search up to January 2020 was performed to detect studies recording associations between breast cancer frequency and background parenchymal enhancement. We found thirteen studies including 13,788 women at the start with 4046 breast cancer. We calculated the odds ratio (OR) and the 95% confidence intervals (CIs) between breast cancer frequency and background parenchymal enhancement by the dichotomous technique with a random or fixed-effect model. Results Women with minimal or mild background parenchymal enhancement at breast magnetic resonance imaging did not have any risk of breast cancer compared to control women (OR, 1.20; 95% CI 0.54–2.67). However, high background parenchymal enhancement at breast magnetic resonance imaging (OR, 2.66; 95% CI 1.36–5.19) and moderate (OR, 2.51; 95% CI 1.49–4.21) was associated with a significantly higher rate of breast cancer frequency compared to control women. Conclusions Our meta-analysis showed that the women with high and moderate background parenchymal enhancement at breast magnetic resonance imaging have higher risks, up to 2.66 fold, of breast cancer. We suggest that women with high or moderate background parenchymal enhancement at breast magnetic resonance imaging to be scheduled for more frequent follow-up and screening for breast cancer to avoid any complications.


2021 ◽  
Vol 127 (1) ◽  
Author(s):  
Mahdi Asgari ◽  
Hossein Khanahmad ◽  
Hasan Motaghi ◽  
Amin Farzadniya ◽  
Masoud A. Mehrgardi ◽  
...  

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