| 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, 5: 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 Name | Affiliation | E-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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