Abstract

BackgroundThe prognostic nutritional index (PNI) has been widely applied for predicting survival outcomes of patients with various malignant tumors. Although a low PNI predicts poor prognosis in patients with colorectal cancer after tumor resection, the prognostic value remains unknown in patients with stage III colon cancer undergoing curative tumor resection followed by adjuvant chemotherapy. This study aimed to investigate the prognostic value of PNI in patients with stage III colon cancer.MethodsMedical records of 274 consecutive patients with stage III colon cancer undergoing curative tumor resection followed by adjuvant chemotherapy with oxaliplatin and capecitabine between December 2007 and December 2013 were reviewed. The optimal PNI cutoff value was determined using receiver operating characteristic (ROC) curve analysis. The associations of PNI with systemic inflammatory response markers, including lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) level, and clinicopathologic characteristics were assessed using the Chi square or Fisher’s exact test. Correlation analysis was performed using Spearman’s correlation coefficient. Disease-free survival (DFS) and overall survival (OS) stratified by PNI were analyzed using Kaplan–Meier method and log-rank test, and prognostic factors were identified by Cox regression analyses.ResultsThe preoperative PNI was positively correlated with LMR (r = 0.483, P < 0.001) and negatively correlated with NLR (r = − 0.441, P < 0.001), PLR (r = − 0.607, P < 0.001), and CRP level (r = − 0.333, P < 0.001). A low PNI (≤ 49.22) was significantly associated with short OS and DFS in patients with stage IIIC colon cancer but not in patients with stage IIIA/IIIB colon cancer. In addition, patients with a low PNI achieved a longer OS and DFS after being treated with 6–8 cycles of adjuvant chemotherapy than did those with < 6 cycles. Multivariate analyses revealed that PNI was independently associated with DFS (hazard ratios 2.001; 95% confidence interval 1.157–3.462; P = 0.013).ConclusionThe present study identified preoperative PNI as a valuable predictor for survival outcomes in patients with stage III colon cancer receiving curative tumor resection followed by adjuvant chemotherapy.

Highlights

  • The prognostic nutritional index (PNI) has been widely applied for predicting survival outcomes of patients with various malignant tumors

  • With regard to the American Joint Committee on Cancer (AJCC) stage, 10 (3.6%) patients were diagnosed with stage IIIA colon cancer, 202 (73.7%) with stage IIIB colon cancer, and 62 (22.6%) with stage IIIC colon cancer (Table 1)

  • In the current study, we found that a low PNI was significantly associated with systemic inflammatory response (SIR) markers and poor 3-year survival outcomes in stage III colon cancer patients who received curative surgery and adjuvant chemotherapy, especially in those with stage IIIC colon cancer

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Summary

Introduction

The prognostic nutritional index (PNI) has been widely applied for predicting survival outcomes of patients with various malignant tumors. A low PNI predicts poor prognosis in patients with colorectal cancer after tumor resection, the prognostic value remains unknown in patients with stage III colon cancer undergoing curative tumor resection followed by adjuvant chemotherapy. This study aimed to investigate the prognostic value of PNI in patients with stage III colon cancer. A decade ago, the combined regimen of oxaliplatin and 5-fluorouracil was recommended as the standard postoperative therapy for stage III colon cancer on the basis of reported reduction in the risk of recurrence and death within the first 6 years after treatment [5, 6]. In previous studies, one-fourth to one-third of patients with stage III colon cancer would develop distant metastases despite receiving curative-intent treatment [7, 8]. It is necessary to identify prognostic factors and individualize postoperative therapy according to patient classification

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