Hypoalbuminemia, but not derived neutrophil to lymphocyte ratio (dNLR), predicts overall survival in neuroendocrine tumours undergoing peptide receptor radionuclide therapy: A retrospective, cohort study of 557 patients.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-13 DOI:10.1111/jne.13379
Dimitrios Papantoniou, Katarzyna Fröss-Baron, Ulrike Garske-Román, Anders Sundin, Espen Thiis-Evensen, Malin Grönberg, Staffan Welin, Eva Tiensuu Janson
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Abstract

Several inflammation scores have shown association with survival outcomes for patients with neuroendocrine tumours (NET) treated with peptide receptor radionuclide therapy (PRRT). However, whether these scores add value to established prognostic factors remains unknown. In this retrospective, cohort study of 557 NET patients undergoing PRRT in a tertiary referral centre from 2005 to 2015, we examined inflammatory markers and scores previously associated with cancer outcomes, using Cox proportional hazard models and Akaike's information criterion. Lower albumin (hazard ratio [95% confidence interval], .91 [.87-.95] per unit), as well as higher C-reactive protein (CRP; 1.02 [1.01-1.02]), Glasgow Prognostic Score (GPS; 1 vs. 0: 1.67 [1.14-2.44], 2 vs. 0 3.60 [2.24-5.79]), CRP/albumin ratio (1.84 [1.43-2.37]) and platelet count (Plt) × CRP, but not white blood cell, neutrophil and thrombocyte counts or derived neutrophil to lymphocyte ratio (dNLR), were associated with shorter median overall survival (OS) in an adjusted analysis. The addition of parameters based on albumin and CRP, but not dNLR, to a base model including age, chromogranin A, the cell proliferation marker Ki-67, performance status, tumour site and previous treatments improved the predictive accuracy of the base model. In an exploratory analysis of patients with available erythrocyte sedimentation rate (ESR) and CRP, ESR emerged as the most powerful predictor. When added to a prognostic model for OS in NET patients treated with PRRT, most inflammation scores further improved the model. Albumin was the single marker adding most value to the set of established prognostic markers, whereas dNLR did not seem to improve the model's prognostic ability.

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低白蛋白血症(而非衍生中性粒细胞与淋巴细胞比值(dNLR))可预测接受肽受体放射性核素治疗的神经内分泌肿瘤患者的总生存率:557例患者的回顾性队列研究。
在接受肽受体放射性核素疗法(PRRT)治疗的神经内分泌肿瘤(NET)患者中,有几种炎症评分显示与生存结果有关。然而,这些评分是否能增加已有预后因素的价值仍是未知数。在这项回顾性队列研究中,我们使用 Cox 比例危险模型和 Akaike's 信息标准,对 2005 年至 2015 年期间在一家三级转诊中心接受 PRRT 治疗的 557 例 NET 患者进行了炎症标志物和以前与癌症预后相关的评分进行了研究。较低的白蛋白(危险比[95%置信区间],.91 [.87-.95]/单位),以及较高的C反应蛋白(CRP;1.02 [1.01-1.02])、格拉斯哥预后评分(GPS;1 vs. 0:1.67 [1.14-2.44],2 vs. 0 3.60 [2.24-5.79])、CRP/白蛋白比值(1.84[1.43-2.37])和血小板计数(Plt)×CRP,但与白细胞、中性粒细胞和血小板计数或衍生中性粒细胞与淋巴细胞比值(dNLR)无关。在基础模型中加入基于白蛋白和 CRP(而非 dNLR)的参数,包括年龄、嗜铬粒蛋白 A、细胞增殖标记物 Ki-67、表现状态、肿瘤部位和既往治疗,可提高基础模型的预测准确性。在对有红细胞沉降率(ESR)和 CRP 的患者进行的探索性分析中,ESR 成为最有力的预测指标。当将其添加到接受PRRT治疗的NET患者的OS预后模型中时,大多数炎症评分进一步改善了模型。白蛋白是唯一一个能为既定预后指标集带来最大价值的指标,而dNLR似乎并不能提高模型的预后能力。
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