BACKGROUND/AIM: Red cell distribution width (RDW) has been reported to reflect the inflammation and nutrition status and predict prognosis of non-small cell lung cancer (NSCLC) patients treated with anti-programmed cell death-1 (PD-1) antibody. The aim of this study was to analyze the correlation between RDW and prognosis of NSCLC patients. PATIENTS AND METHODS: We collected retrospective data on consecutive NSCLC patients treated with anti-PD-1 antibody from December 2015 to April 2018 at the Kobe University Hospital, Japan. RESULTS: Forty-seven patients were treated. Patients with RDW ≥16% had a significantly shorter OS (p=0.010) compared to those with RDW <16%. In multivariate analysis, RDW ≥16% was an independent factor predicting poor prognosis (p=0.019). CONCLUSION: Pre-treatment RDW ≥16% is an indicator of poor prognosis. RDW is an inexpensive, convenient, and routinely available marker of prognosis. Copyright
BACKGROUND/AIM: Red cell distribution width (RDW) has been reported to reflect the inflammation and nutrition status and predict prognosis of non-small cell lung cancer (NSCLC) patients treated with anti-programmed cell death-1 (PD-1) antibody. The aim of this study was to analyze the correlation between RDW and prognosis of NSCLCpatients. PATIENTS AND METHODS: We collected retrospective data on consecutive NSCLCpatients treated with anti-PD-1 antibody from December 2015 to April 2018 at the Kobe University Hospital, Japan. RESULTS: Forty-seven patients were treated. Patients with RDW ≥16% had a significantly shorter OS (p=0.010) compared to those with RDW <16%. In multivariate analysis, RDW ≥16% was an independent factor predicting poor prognosis (p=0.019). CONCLUSION: Pre-treatment RDW ≥16% is an indicator of poor prognosis. RDW is an inexpensive, convenient, and routinely available marker of prognosis. Copyright
Authors: Marc A Schneider; Adriana Rozy; Sabine Wrenger; Petros Christopoulos; Thomas Muley; Michael Thomas; Michael Meister; Tobias Welte; Joanna Chorostowska-Wynimko; Sabina Janciauskiene Journal: Front Oncol Date: 2022-01-31 Impact factor: 6.244