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External validation of the prognostic relevance of the advanced lung cancer inflammation index (ALI) in pancreatic cancer patients

机译:外在验证胰腺癌患者晚期肺癌炎症指数(ALI)的预后相关性

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Background The advanced lung cancer inflammation index (ALI) was first introduced for prognosis prediction in lung cancer patients and since then evaluated in several other malignancies. However, in pancreatic cancer (PC) the ALI and its prognostic utility were only investigated in a comparably small and specific cohort of locally advanced PC patients treated with chemoradiotherapy. Methods In our single‐center cohort study, we included 429 patients with histologically verified PC who were treated between 2003 and 2015 at our academic institution. The ALI was defined as body mass index (BMI; kg/m2)?×?serum albumin levels (g/dL)/neutrophil‐lymphocyte ratio (NLR) and we defined the optimal cutoff for biomarker dichotomization by ROC‐analysis. Kaplan‐Meier method as well as uni‐ and multivariate Cox regression Hazard proportional models were implemented to assess the prognostic potential of ALI in PC patients. We considered cancer‐specific survival (CSS) as the primary endpoint of the study. Results The ALI showed a significant negative correlation with CA19‐9 levels and C‐reactive protein levels whereas we found an association with localized tumor stage and better performance status (P??.05 for all mentioned variables). As opposed to patients with a high ALI, decreased ALI was significantly associated with shorter CSS (HR?=?0.606, 95% CI: 0.471‐0.779, P?=?.001). Multivariate analysis demonstrated tumor grade, tumor stage, chemotherapy, C‐reactive protein levels, and CA19‐9 levels to independently predict for CSS (all P??.05). In contrast the ALI failed to independently predict for CSS in the performed multivariate models (HR?=?0.878, 95% CI: 0.643‐1.198, P?=?.411). Conclusion In this large cohort of PC patients, the ALI did not complement existing clinicopathological factors for outcome determination.
机译:背景晚期肺癌炎症指数(ALI)首次引入在肺癌患者的预后预测,从那时起在其它几种恶性肿瘤评价。然而,在胰腺癌(PC)的ALI及其预后作用只在与放化疗的局部晚期患者PC的相对小的和具体的队列研究。方法在我们的单中心队列研究,我们包括429例谁是我们的学术机构2003年和2015年之间治疗病理证实PC。的ALI被定义为体重指数(BMI;千克/平方米)×血清白蛋白水平(克/分升)/嗜中性粒细胞淋巴细胞的比例(NLR),我们通过ROC分析定义的生物标记物二分法的最优截止?。 Kaplan-Meier法以及单向和多变量Cox回归危险比例模型,实施评估PC ALI患者的预后潜力。我们认为癌症特异性生存(CSS)作为研究的主要终点。结果ALI显示出与CA19-9水平和C-反应蛋白水平的显著负相关,而我们发现与局部肿瘤阶段和更好的性能状态(P <??05为所有提及的变量)的关联。相对于患者具有高ALI,降低的ALI被显著用较短的CSS相关(HR = 0.606,95%CI:?0.471-0.779,P =?001?)。多变量分析显示肿瘤等级,肿瘤分期,化疗,C反应蛋白水平,和CA19-9水平独立预测CSS(均P <??05)。与此相反的ALI未能独立地预测CSS在所进行的多变量模型(HR = 0.878,95%CI:?0.643-1.198,P =?411?)。结论在这个大型队列PC患者中,ALI没有补充现有的结果确定临床病理因素。

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