Dan Li1, Xia Yuan2, Jia Liu3, Changling Li3, Weimin Li1. 1. Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China. 2. State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China. 3. West China School of Medicine, Sichuan University, Chengdu 610041, China.
Abstract
BACKGROUND: Previous studies reported pretreatment prognostic nutritional index (PNI) was associated with clinical outcome of lung cancer. However, the result was not conclusive. We conducted a comprehensive meta-analysis to clarify the impact of PNI in lung cancer prognosis. METHODS: We identified eligible studies by searching PubMed, EMBASE, and Web of Science, up to August 15, 2017. Overall survival (OS) and clinicopathological characteristics were collected from included studies. Pooled hazard ratios (HR) and corresponding 95% confidence intervals (CIs) were used to estimate clinical and prognostic value of PNI in lung cancer. RESULTS: Ten studies including 5,085 patients were enrolled in the meta-analysis. The result demonstrated that low PNI was correlated with unfavorable OS in lung cancer (HR =1.72; 95% CI, 1.43-2.06; P=0.000), especially among non-small cell lung cancer patients (HR =1.93; 95% CI, 1.56-2.37; P=0.000). As for clinical characteristics, low PNI status was found related to gender (female versus male, HR =0.68; 95% CI, 0.554-0.857; P=0.001) and histology (adenocarcinoma versus non-adenocarcinoma, HR =0.59; 95% CI, 0.47-0.74, P=0.000), but not smoking status (smoker versus never smoker, HR =1.49; 95% CI, 0.99-2.25, P=0.056). No significant publication bias was found (P=0.210). CONCLUSIONS: PNI was an independent prognostic indicator for lung cancer, and can serve as a novel biomarker to help guide clinical practice and promote clinical outcomes of lung cancer patients.
BACKGROUND: Previous studies reported pretreatment prognostic nutritional index (PNI) was associated with clinical outcome of lung cancer. However, the result was not conclusive. We conducted a comprehensive meta-analysis to clarify the impact of PNI in lung cancer prognosis. METHODS: We identified eligible studies by searching PubMed, EMBASE, and Web of Science, up to August 15, 2017. Overall survival (OS) and clinicopathological characteristics were collected from included studies. Pooled hazard ratios (HR) and corresponding 95% confidence intervals (CIs) were used to estimate clinical and prognostic value of PNI in lung cancer. RESULTS: Ten studies including 5,085 patients were enrolled in the meta-analysis. The result demonstrated that low PNI was correlated with unfavorable OS in lung cancer (HR =1.72; 95% CI, 1.43-2.06; P=0.000), especially among non-small cell lung cancer patients (HR =1.93; 95% CI, 1.56-2.37; P=0.000). As for clinical characteristics, low PNI status was found related to gender (female versus male, HR =0.68; 95% CI, 0.554-0.857; P=0.001) and histology (adenocarcinoma versus non-adenocarcinoma, HR =0.59; 95% CI, 0.47-0.74, P=0.000), but not smoking status (smoker versus never smoker, HR =1.49; 95% CI, 0.99-2.25, P=0.056). No significant publication bias was found (P=0.210). CONCLUSIONS: PNI was an independent prognostic indicator for lung cancer, and can serve as a novel biomarker to help guide clinical practice and promote clinical outcomes of lung cancer patients.
Entities:
Keywords:
Prognostic nutritional index (PNI); lung cancer; prognosis
Authors: M Nakatani; K Migita; S Matsumoto; K Wakatsuki; M Ito; H Nakade; T Kunishige; M Kitano; H Kanehiro Journal: Dis Esophagus Date: 2017-08-01 Impact factor: 3.429