Albumin-Derived NLR Score is a Novel Prognostic Marker for Esophageal Squamous Cell Carcinoma

医学 内科学 胃肠病学 危险系数 白蛋白 中性粒细胞与淋巴细胞比率 置信区间 淋巴细胞
作者
Tomoki Abe,Taro Oshikiri,Hironobu Goto,Takashi Kato,Manabu Horikawa,Ryuichiro Sawada,Hitoshi Harada,Naoki Urakawa,Hiroshi Hasegawa,Shingo Kanaji,Kimihiro Yamashita,Takeru Matsuda,Yoshihiro Kakeji
出处
期刊:Annals of Surgical Oncology [Springer Nature]
卷期号:29 (4): 2663-2671 被引量:13
标识
DOI:10.1245/s10434-021-11012-y
摘要

BackgroundMultidisciplinary treatment for esophageal squamous cell carcinoma (ESCC) has improved outcomes, but the prognosis for ESCC remains poor. Nutritional and inflammatory indicators are reported to be associated with cancer prognosis. The combination of albumin and the derived neutrophil-to-lymphocyte ratio (Alb-dNLR) score was established to measure the immune system and nutritional status. The authors hypothesized that the Alb-dNLR score could be a new reliable prognostic factor for ESCC patients.MethodsThe study evaluated 269 patients who underwent esophagectomy between April 2010 and March 2018, including 185 patients who received neoadjuvant chemotherapy. The Alb-dNLR score was calculated using serum albumin and the dNLR. The dNLR was calculated as neutrophils to (leukocyte-neutrophil count). The cutoff values of the albumin and dNLR for overall survival (OS) were determined using the receiver operating characteristic curve. Patients were divided into “high” and “low” groups according to the Alb-dNLR score.ResultsA high Alb-dNLR score was found in 61 cases (22.7%). The 5-year OS was 34% in the high Alb-dNLR group and 66.2% in the low Alb-dNLR group (p < 0.0001). The 5-year cause-specific survival (CSS) was 51.5% in the high Alb-dNLR group and 74.7% in the low Alb-dNLR group (p < 0.0001). Multivariate analyses demonstrated that the Alb-dNLR score was an independent prognostic factor for OS (hazard ratio [HR], 2.198; 95% confidence interval [CI], 1.460–3.263; p = 0.0002) and CSS (HR, 1.733; 95% CI, 1.035–2.835; p = 0.0371).ConclusionsThe Alb-dNLR score is an extremely useful, easy-to-use parameter to predict OS and CSS for ESCC patients.
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