Masaki Tomita1, Takanori Ayabe1, Kunihide Nakamura2. 1. Department of Thoracic and Breast Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan. 2. Department of Cardiovascular Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Abstract
OBJECTIVES: The usefulness of a recently developed advanced lung cancer inflammation index (ALI) has been reported in advanced non-small-cell lung cancer (NSCLC) and small-cell lung cancer. However, no previous studies have examined the prognostic significance of ALI in patients with operable NSCLC. Therefore, the aim of this study was to explore the relationship between ALI and the prognosis of resected NSCLC. METHODS: Three hundred and forty-three patients with NSCLC who underwent surgery at our institution between 2008 and 2012 were included. The ALI score was calculated as body mass index × serum albumin/neutrophil to lymphocyte ratio. A Web-based software programme [Cutoff Finder (http://molpath.charite.de/cutoff/)] was used to determine the optimal cut-off value for ALI. The Kaplan-Meier methods and a multivariable Cox proportional hazards model were used to evaluate the potential prognostic factors. RESULTS: The optimal cut-off value of ALI was defined as 37.66. The low-ALI group (ALI < 37.66) displayed more adverse clinical characteristics. Furthermore, compared with patients in the high-ALI group (ALI > 37.66), those in the low-ALI group had significantly poorer survival rates. On multivariable analysis, gender, histological diagnosis, pN status, serum carcinoembryonic antigen level, serum C-reactive protein level and ALI were associated independently with cancer-specific survival. CONCLUSIONS: This study is the first to investigate whether ALI is useful for predicting postoperative survival in patients with NSCLC. Preoperative ALI might serve as a potentially clinically valuable marker of the prognosis for patients with operable NSCLC.
OBJECTIVES: The usefulness of a recently developed advanced lung cancer inflammation index (ALI) has been reported in advanced non-small-cell lung cancer (NSCLC) and small-cell lung cancer. However, no previous studies have examined the prognostic significance of ALI in patients with operable NSCLC. Therefore, the aim of this study was to explore the relationship between ALI and the prognosis of resected NSCLC. METHODS: Three hundred and forty-three patients with NSCLC who underwent surgery at our institution between 2008 and 2012 were included. The ALI score was calculated as body mass index × serum albumin/neutrophil to lymphocyte ratio. A Web-based software programme [Cutoff Finder (http://molpath.charite.de/cutoff/)] was used to determine the optimal cut-off value for ALI. The Kaplan-Meier methods and a multivariable Cox proportional hazards model were used to evaluate the potential prognostic factors. RESULTS: The optimal cut-off value of ALI was defined as 37.66. The low-ALI group (ALI < 37.66) displayed more adverse clinical characteristics. Furthermore, compared with patients in the high-ALI group (ALI > 37.66), those in the low-ALI group had significantly poorer survival rates. On multivariable analysis, gender, histological diagnosis, pN status, serum carcinoembryonic antigen level, serum C-reactive protein level and ALI were associated independently with cancer-specific survival. CONCLUSIONS: This study is the first to investigate whether ALI is useful for predicting postoperative survival in patients with NSCLC. Preoperative ALI might serve as a potentially clinically valuable marker of the prognosis for patients with operable NSCLC.
Authors: Cecilia Veraar; Stefan Janik; Jürgen Thanner; Clarence Veraar; Mohamed Mouhieddine; Ana-Iris Schiefer; Leonhard Müllauer; Martin Dworschak; Walter Klepetko; Hendrik Jan Ankersmit; Bernhard Moser Journal: Sci Rep Date: 2019-12-09 Impact factor: 4.379
Authors: Dominik Andreas Barth; Carina Brenner; Jakob Michael Riedl; Felix Prinz; Eva Valentina Klocker; Konstantin Schlick; Peter Kornprat; Karoline Lackner; Herbert Stöger; Michael Stotz; Armin Gerger; Martin Pichler Journal: Cancer Med Date: 2020-06-14 Impact factor: 4.711