| 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. |
| miR-564、TGF-β1与放射性肺损伤的相关性研究 |
| Correlation between miR-564, TGF-β1, and radiationinduced lung injury |
| Received:October 23, 2018 Revised:November 17, 2019 |
| DOI:10.1007/s10330-018-0311-1 |
| 中文关键词: 放射性肺损伤; miR-564; TGF-β1 |
| 英文关键词: radiation-induced lung injury; miR-564; TGF-β1 |
| 基金项目:1.医学信息分析及肿瘤诊疗湖北省重点实验室 项目批号:PJS140011604; 2.湖北陈孝平科技发展基金会 项目批号:CXPJJH11800004-015 |
| 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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| 中文摘要: |
|  目的 分析miR-564、TGF-β1在放射性肺损伤患者癌组织中表达及血清中含量,探讨两者与放射性肺损伤的关系。 方法 采用原位杂交法、实时荧光定量法检测患者癌组织及血清中miR-564基因表达,同时通过免疫组化法、酶联免疫吸附法检测上述标本中TGF-β1蛋白表达。 结果 急性放射性肺炎总发生率为55.9 %(100/179),2级及以上放射性肺炎发生率为24.0 %(43/179),1级放射性肺炎发生率为31.8 %(57/179)。miR-564在2级及以上放射性肺炎患者的癌组织中miR-564的表达略高于无或1级放射性肺炎患者,但统计学无差异(P =0.86);miR-564在2级及以上放射性肺炎患者血清中含量及其比率均高于无或1级放射性肺炎患者,差异有统计学意义(分别P = 0.005,P = 0.025)。TGF-β1在2级及以上放射性肺炎患者的癌组织中TGF-β1的表达高于无或1级放射性肺炎患者,差异有统计学意义(P = 0.017)。TGF-β1在2级及以上放射性肺炎患者的血清中含量高于无或1级放射性肺炎患者,差异有统计学意义(P = 0.038);虽然TGF-β1比率在2级及以上放射性肺炎患者放疗前后高于无或1级放射性肺炎患者,但差异无统计学意义(P = 0.24)。miR-564高表达患者预后优于低表达者,而TGF-β1低表达者预后优于高表达者。 结论 miR-564,TGF-β1是放射性肺损伤的预测因子,监测其变化趋势能提高放射性肺损伤预测的准确性,而且血清中miR-564含量及其比率,TGF-β1含量与放射性肺损伤的严重程度存在一定的关系。 |
| 英文摘要: |
| 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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