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Clinical Application Value of the Prognostic Nutritional Index for Predicting Survival in Patients with Esophageal Squamous Cell Carcinoma Undergoing Chemoradiotherapy or Radiotherapy

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Abstract Background The prognostic nutrition index (PNI) has been shown to have prognostic value for several common cancers. The study aim was to explore the clinical application value of the… Click to show full abstract

Abstract Background The prognostic nutrition index (PNI) has been shown to have prognostic value for several common cancers. The study aim was to explore the clinical application value of the PNI for prognosis of patients with esophageal squamous cell carcinoma (ESCC) treated with radical chemoradiotherapy (CRT) or radiotherapy (RT). Methods Overall, 193 patients with ESCC who received radiotherapy with or without chemotherapy at Sichuan Cancer Hospital from March 20, 2012 to December 25, 2017 were retrospectively analyzed. Based on serum measurements before treatment, the PNI at ESCC recurrence was calculated as albumin (g/L) + 5 × total lymphocyte count. The Kaplan–Meier method and Cox proportional regression model were used to analyze the relationship between PNI and overall survival (OS). Results The average PNI of 193 ESCC patients was 49.01 ± 4.68. The optimal cutoff value of PNI was 47.975, and the patients were divided into a low-PNI group (<47.975) and a high-PNI group (≥47.975). PNI was related to tumor length, T-stage and synchronous chemotherapy in ESCC patients (P < 0.05). The median OS for the entire group was 22.37 mo,. The median OS of patients in the high-PNI group and low-PNI group were 32.63 mo, and 15.4 mo, respectively, the 3-year survival rates were 47.5% and 32.2% and the 5-year survival rates were 37.7% and 16.8%, respectively, (all P = 0.001). Univariate analysis showed that PNI, tumor length, T-stage and synchronous chemotherapy were related to the prognosis of ESCC patients (P < 0.05). Multivariate analysis showed that tumor length (P = 0.019), synchronous chemotherapy (P = 0.009) and PNI (P = 0.003) were independent prognostic factors affecting the prognosis of patients in ESCC treated with RT or CRT. Conclusions The calculation of PNI value is simple, reliable and repeatable and can improve the accuracy of a patient’s prognosis. Confirmation of these results by a large-sample prospective study is desirable.

Keywords: radiotherapy; group; value; application value; pni; clinical application

Journal Title: Nutrition and Cancer
Year Published: 2020

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