Modified Systemic Inflammation Score Is an Independent Predictor of Long-Term Outcome in Patients Undergoing Surgery for Adenocarcinoma of the Esophagogastric Junction.

Modified Systemic Inflammation Score Is an Independent Predictor of Long-Term Outcome in Patients Undergoing Surgery for Adenocarcinoma of the Esophagogastric Junction.
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改良全身炎症评分是接受食管胃结合部腺癌手术的患者长期结果的独立预测因子

DOI:
10.3389/fsurg.2021.622821
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发表时间:
2021
影响因子:
1.8
通讯作者:
Tian Y
Tian Y
中科院分区:
医学4区
文献类型:
--
作者:
Xiong J;Kang W;Ma F;Liu H;Ma S;Li Y;Jin P;Hu H;Tian Y

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背景资料:改良的全身炎症评分(mSIS),它是由淋巴细胞与单核细胞的比率和血清中的白蛋白含量的综合评分计算,被确定为新的评分,以预测各种癌症的预后。然而,其意义的食管胃交界处腺癌(AEJ),谁接受手术的患者,仍然不清楚。方法:本研究回顾性分析了2010年9月至2016年12月期间接受手术治疗的317例AEJ患者。评估mSIS与临床病理特征、总生存期(OS)以及无复发生存期(RFS)之间的关系。并进行时间依赖性受试者工作特征曲线(t-ROC)分析,比较各评分系统对患者预后的预测价值。结果:317例患者中,119例被评定为mSIS 0,123例被评定为mSIS 1,75例被评定为mSIS 2。此外,mSIS与年龄和肿瘤大小显著相关。在多变量分析中,mSIS被确定为独立预测OS(p < 0.001)和RFS(p <0.001)的预测因子(沿着),并且基于mSIS系统,在晚期pTNM分期中观察到显著强相关性。在辅助化疗和单纯手术的亚组分析中,mSIS仍然是独立预测两组患者OS(p < 0.001)和RFS(p < 0.001)的预测因子。T-ROC分析显示,mSIS较营养状态控制评分更能准确预测OS和RFS。结论:mSIS可以作为一个简单,有用的评分系统,独立预测AEJ手术病例的术前生存。
Background: The modified systemic inflammation score (mSIS), which is calculated by a composite score of the lymphocyte-to-monocyte ratio and the albumin content in serum, is identified as the new score to predict the prognosis for various cancers. However, its significance for patients with adenocarcinoma of esophagogastric junction (AEJ), who receive surgery, remains unclear. Methods: This study retrospectively analyzed 317 patients with AEJ receiving surgery between September 2010 and December 2016. The associations between the mSIS and the clinicopathological features, overall survival (OS), as well as relapse-free survival (RFS), were assessed. In addition, the time-dependent receiver operating characteristic (t-ROC) curve analysis was performed for comparing the value of those scoring systems in predicting patient prognosis. Results: Of the 317 cases, 119 were rated as mSIS 0, 123 as mSIS 1, and 75 as mSIS 2. Besides, mSIS was significantly related to age and tumor size. On multivariate analysis, mSIS was identified as a predictor to independently predict OS (p < 0.001) along with RFS (p < 0.001), and a significantly strong correlation was observed at the advanced pTNM stages based on the mSIS system. In the subgroup analysis of adjuvant chemotherapy and surgery alone, mSIS was still the predictor for independently predicting patient OS (p < 0.001) together with RFS (p < 0.001) for the two groups. T-ROC analysis showed that mSIS was more accurate than controlling nutritional status score in predicting OS and RFS. Conclusions: The mSIS can serve as an easy, useful scoring system to independently predict the preoperative survival for AEJ cases undergoing surgery.
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发表时间: 2014-12
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