Yunzhang Ge,Tao Xie,Bin Yang,Qianxia Li,Qingrong Ren,Xiaoyi Zhou,Desheng Hu,Zhongshu Tu. Correlation between miR-564, TGF-β1, and radiationinduced lung injury. Oncol Transl Med, 2019, : 204-210.
Correlation between miR-564, TGF-β1, and radiationinduced lung injury
Received:October 23, 2018  Revised:November 17, 2019
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KeyWord:radiation-induced lung injury; miR-564; TGF-β1
Author NameAffiliationE-mail
Yunzhang Ge Hubei Province Tongcheng County Hospital of Traditional Chinese Medicine gezi432@163.com 
Tao Xie Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis DdDd Treatment,  
Bin Yang Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis DdDd Treatment,  
Qianxia Li Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology  
Qingrong Ren Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment,  
Xiaoyi Zhou Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment,  
Desheng Hu Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment,  
Zhongshu Tu Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, HuBei Key Laboratory of Medical Information Analysis and Tumor Diagnosis DdDd Treatment,  
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Abstract:
      Objective Our study aimed to analyze the expression of miR-564 and TGF- β1 in cancer tissues and the serum of patients with radiation-induced lung injury, and to investigate the relationship between them and radiation-induced lung injury. Methods In situ hybridization and real-time fluorescence quantitative method were used to detect the expression of miR-564. Additionally, immunohistochemistry and enzyme-linked immunosorbent assay (ELISA) were performed to detect the expression of TGF- β1. Results The overall incidence of acute radiation pneumonia was 55.9% (100/179). The incidence of ≥ grade 2 radioactive pneumonia was 24.0% (43/179) and that of grade 1 was 31.8% (57/179). The expression of miR-564 in grade ≥ 2 was slightly higher than that in patients without or with grade 1, but there was no statistical difference (P = 0.86). The serum level and ratio of miR-564 in patients with grade ≥ 2 were significantly higher than those without or with grade 1 (P = 0.005, P = 0.025, respectively). The expression of TGF- β1 in grade ≥ 2 was significantly higher than that of patients without or with grade 1 (P = 0.017). The serum levels of TGF- β1 in grade ≥ 2 were significantly higher than those in patients without or with grade 1 (P = 0.038). Although the ratio of TGF- β1 in radiation pneumonia of grade ≥ 2 was significantly higher than that of without or with grade 1, there was no significant difference (P = 0.24). Moreover, patients with higher expression of miR-564 and lower expression of TGF-β1 had better prognosis. Conclusion MiR-564 and TGF-β1 are predictors of radiation-induced lung injury. Monitoring its changing trend can improve the accuracy of predicting radiation-induced lung injury. The levels and ratio of serum miR-564 and TGF- β1 in patients with radiation-induced lung injury are related to the severity of radiationinduced lung injury.
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