文章摘要
Fei Gao,Lin Jia,Jianjun Han,Jisheng Wang,Yun Wang. Predictive value of serum levels of transforming growth factor beta 1 for the short-term effects of radiotherapy and chemotherapy in patients with esophageal cancer. Oncol Transl Med, 2018, 4: 1-5.
血清TGF-β1水平在食管癌放化疗患者近期疗效中的预测价值评估
Predictive value of serum levels of transforming growth factor beta 1 for the short-term effects of radiotherapy and chemotherapy in patients with esophageal cancer
Received:February 07, 2018  Revised:March 29, 2018
DOI:10.1007/s10330-018-0256-6
中文关键词: 转化生长因子-β;食管癌;放疗;近期疗效;预测
英文关键词: transforming growth factor-β; esophagus cancer; radiotherapy; short-term efficacy; prediction
基金项目:
Author NameAffiliationE-mail
Fei Gao* The Oncology Department of The Third Hospital of Mianyang,Sichuan,China 6221252@qq.com 
Lin Jia The Oncology Department of The Third Hospital of Mianyang,Sichuan,China  
Jianjun Han The Oncology Department of The Third Hospital of Mianyang,Sichuan,China  
Jisheng Wang Pharmacy department of The Third Hospital of Mianyang,Sichuan,China  
Yun Wang The Oncology Department of The Third Hospital of Mianyang,Sichuan,China  
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中文摘要:
  目的 探讨食管癌患者放疗前后TGF-β1水平的变化以评估TGF-β1水平对于放疗效果的预测价值。方法 选取2015年3月至2017年12月于我院肿瘤科行根治性放疗的食管鳞癌患者140例,近期疗效以WHO对实体瘤疗效评价为标准(2009RECIST标准),分为有效组(115例)和无效组(25例),采用ELISA法检测所有患者中TGF-β1水平。放疗疗效预测价值的多因素分析采用COX回归分析模型。结果 经过放疗后,CR、PR和NR患者分别有36例、79例和25例,总有效率为82.14%。放疗后有效组TGF-β1水平显著低于无效组(P<0.05),经协方差分析表明放疗能显著降低食管癌患者中TGF-β1的水平。多因素COX回归模型分析显示对放疗疗效预测价值作用最大的是TGF-β1水平,其HR值为1.955(P=0.002),其次是照射剂量,其HR值为1.367(P=0.035)。结论 血清中的TGF-β1水平可作为判断放疗后近期疗效的一项预测指标。
英文摘要:
    Objective To investigate variation in levels of transforming growth factor beta 1 (TGF-β1) before and after radiotherapy in patients with esophageal cancer in order to evaluate the predictive value of TGF-β1 for the effects of radiotherapy Methods A total of 140 patients with esophageal squamous carcinoma undergoing radical radiation therapy in the Department of Oncology from March 2015 to December 2017 were enrolled. The patients were divided into the effective (115 cases) and ineffective (25 cases) groups according to World Health Organization (WHO) criteria for the evaluation of solid tumors (2009 RECIST standard). TGF-β1 levels were measured in all patients by using enzyme-linked immunosorbent assay (ELISA). Multiple-factor analysis of the predictive value of the treatment efficacy was performed by Cox regression analysis. Results After radiotherapy, 36, 79, and 25 cases experienced complete response (CR), partial response(PR), and no response (NR), respectively, with a total effective rate of 82.14%. The TGF-β1 level was significantly lower in the effective group than that in the ineffective group (P < 0.05) and covariance analysis revealed significantly reduced TGF-β1 level in esophageal cancer patients following radiotherapy. The multi-factor Cox regression model revealed that the predictive value of TGF-β1 for the effect of radiotherapy was largest, with a hazard ratio [HR] of 1.955 (P = 0.002), followed by exposure dose, with (HR = 1.367; P = 0.035). Conclusion Serum TGF-β1 level can serve as a predictor for the short-term effects of radiotherapy in patients with esophageal cancer.
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