99mTc-radiolabeled GE11-modified peptide for ovarian tumor targeting

被引:28
|
作者
Rahmanian, Najmeh [1 ,2 ]
Hosseinimehr, Seyed Jalal [2 ]
Khalaj, Ali [3 ]
Noaparast, Zohreh [2 ]
Abedi, Seyed Mohammad [4 ]
Sabzevari, Omid [5 ]
机构
[1] Univ Tehran Med Sci, Dept Radiopharm, Fac Pharm, Tehran, Iran
[2] Mazandaran Univ Med Sci, Fac Pharm, Dept Radiopharm, Sari, Iran
[3] Univ Tehran Med Sci, Dept Med Chem, Fac Pharm, Tehran, Iran
[4] Mazandaran Univ Med Sci, Dept Radiol, Fac Med, Sari, Iran
[5] Univ Tehran Med Sci, Dept Toxicol, Fac Pharm, Tehran, Iran
来源
DARU-JOURNAL OF PHARMACEUTICAL SCIENCES | 2017年 / 25卷
基金
美国国家科学基金会;
关键词
GE11; peptide; Tc-99m; Molecular imaging; HYNIC; Radiopharmaceuticals; GROWTH-FACTOR RECEPTOR; RNA APTAMER MOLECULE; IN-VIVO EVALUATION; CANCER; VITRO; DELIVERY; TC-99M; LIGAND; DIAGNOSIS; ANALOGS;
D O I
10.1186/s40199-017-0179-8
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Ovarian cancer is a serious threat for women health and the early diagnosis of this cancer might improves the survival rate of patients. The use of the targeted radiopharmaceuticals could be a non-invasive and logical method for tumor imaging. The aim of this study was to radiolabel GE11 peptide as a new specific probe for imaging of ovarian tumor. Methods: HYNIC-SSS-GE11 peptide was labeled with Tc-99m using tricine as a coligand. The Tc-99m-tricine-HYNIC-SSS-GE11 peptide was evaluated for specific cellular binding in three cell lines with different levels of EGFR expression. Tumor targeting was assessed in SKOV3 tumor bearing mice. Results: By using tricine as a coligand, labeling yield was more than 98% and the stability of the radiolabelled peptide in human serum up to 4 h was 96%. The in vitro cell uptake test showed that this radiolabeled peptide had a good affinity to SKOV3 cells with dissociation constant of 73 nM. The in vivo results showed a tumor/muscle ratio of 3.2 at 4 h following injection of Tc-99m-tricine-HYNIC-SSS-GE11 peptide. Conclusions: Results of this study showed that Tc-99m-tricine-HYNIC-SSS-GE11 peptide could be a promising tool for diagnosis and staging of ovarian cancer.
引用
收藏
页数:9
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