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张思思, 袁耒. 术前血小板与淋巴细胞比值和中性粒细胞与淋巴细胞比值对食管癌预后的预测价值[J]. 肿瘤防治研究, 2017, 44(12): 811-815. DOI: 10.3971/j.issn.1000-8578.2017.17.0547
引用本文: 张思思, 袁耒. 术前血小板与淋巴细胞比值和中性粒细胞与淋巴细胞比值对食管癌预后的预测价值[J]. 肿瘤防治研究, 2017, 44(12): 811-815. DOI: 10.3971/j.issn.1000-8578.2017.17.0547
ZHANG Sisi, YUAN Lei. Preoperative Platelet-to-lymphocyte Ratio and Neutrophil-to-lymphocyte Ratio for Predicting Prognosis of Esophageal Cancer Patients[J]. Cancer Research on Prevention and Treatment, 2017, 44(12): 811-815. DOI: 10.3971/j.issn.1000-8578.2017.17.0547
Citation: ZHANG Sisi, YUAN Lei. Preoperative Platelet-to-lymphocyte Ratio and Neutrophil-to-lymphocyte Ratio for Predicting Prognosis of Esophageal Cancer Patients[J]. Cancer Research on Prevention and Treatment, 2017, 44(12): 811-815. DOI: 10.3971/j.issn.1000-8578.2017.17.0547

术前血小板与淋巴细胞比值和中性粒细胞与淋巴细胞比值对食管癌预后的预测价值

Preoperative Platelet-to-lymphocyte Ratio and Neutrophil-to-lymphocyte Ratio for Predicting Prognosis of Esophageal Cancer Patients

  • 摘要:
    目的 探讨术前外周血血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)对食管癌患者预后的预测价值。
    方法 回顾性分析137例行食管癌根治切除术治疗的患者的临床资料。按术前PLR<120及≥120、NLR<2.0及≥2.0分组,采用Kaplan-Meier曲线法进行生存分析,比较5年无病生存率和总生存率。采用Cox多因素分析确定影响预后的独立因素。
    结果 高PLR组的5年总生存率30.9%和无病生存率30.9%分别低于低PLR组的50.7%和47.8%(P=0.017, P=0.033)。同样,高NLR组的5年总生存率29.0%和无病生存率29.0%显著低于低NLR组的52.9%和50.0%(P=0.003, P=0.006)。多因素分析显示,分化程度、临床分期和NLR是影响食管癌患者预后的独立因素(均P<0.05)。
    结论 PLR和NLR可以预测食管癌患者的预后,NLR还可作为影响患者预后的独立因素。

     

    Abstract:
    Objective To investigate the prognostic value of the preoperative platelet-to-lymphocyte ratio (PLR) and the neutrophil-to-lymphocyte ratio (NLR) collected from peripheral blood of esophageal cancer (EC) patients.
    Methods The clinical data of 137 patients who underwent esophagectomy from January 2010 to December 2011 were analyzed retrospectively. According to preoperative PLR and NLR, the patients were divided into low PLR group (PLR < 120) and high PLR group (PLR≥120) or low NLR group (PLR < 120) and high PLR group (PLR≥120). Disease free survival (DFS) and overall survival (OS) were assessed using Kaplan-Meier method. The prognostic significance of both markers was then determined by both univariate and multivariate analytical methods.
    Results The high PLR group had a much lower 5-year OS compared with the low PLR group (30.9% vs. 50.7%, P=0.017) as well as DFS (30.9% vs. 47.8%, P=0.033). The high NLR group had a much lower 5-year OS compared with the low NLR group (29.0% vs. 52.9%, P=0003) as well as DFS (29.0% vs. 50.0%, P=0.006). Multivariate analysis revealed that the differentiation, clinical stage and NLR were identified as independent risk factors for poor prognosis of EC patients.
    Conclusion PLR and NLR might predict the prognosis of EC patients. NLR could be an independent predictive factor for EC.

     

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