Shu Zhao1, Minghui Zhang1, Yu Zhang2, Hongxue Meng3, Yan Wang4, Yupeng Liu5, Jing Jing1, Lan Huang1, Mengqi Sun1, Yue Zhang1, Qingyuan Zhang1. 1. Department of Medical Oncology. 2. Department of Radiotherapy. 3. Department of Pathology, Harbin Medical University Cancer Hospital, Harbin 150081, China. 4. Department of Medical Oncology, Heilongjiang Provincial Hospital, Harbin 150030, China. 5. Department of Epidemiology, Public Health College of Harbin Medical University, Harbin 150081, China.
Abstract
OBJECTIVE: Although the prognostic value of programmed cell death-ligand 1 (PD-L1) expression in non-Hodgkin lymphoma (NHL) has been evaluated in many studies, the results remain controversial. To investigate the prognostic role of PD-L1 expression and the association between PD-L1 expression and clinicopathological features of NHL, we performed a meta-analysis. METHODS: The PubMed, EMBASE, and Cochrane Library databases were searched up to November 30, 2017. The hazard ratio (HR), 95% confidence interval (CI), and odds ratios (OR) with 95% CIs were combined to evaluate the association of PD-L1 expression with overall survival (OS) and clinicopathological features. Review manager 5.3 and STATA 12.0 were used in this meta-analysis. RESULTS: A total of 2,005 patients across nine studies were enrolled in our meta-analysis, and the pooled results showed that high PD-L1 expression was associated with a poor prognosis (HR=2.04, 95% CI: 1.18-3.54, P=0.01). In the subgroup analysis according to histology types, pooled results demonstrated that an increased PD-L1 expression was an unfavorable prognostic factor for diffuse large B-cell lymphoma (HR=1.92, 95% CI: 1.06-3.48, P=0.03) but not for natural killer/T-cell lymphoma (HR=2.41, 95% CI: 0.47-12.22, P=0.29). Pooled ORs indicated that PD-L1 expression was higher in NHL with international prognostic indices of ≥3. However, PD-L1 expression had no correlation with gender, age, disease stage, lactate dehydrogenase level, B symptoms, and germinal center B-cell-like lymphoma. CONCLUSIONS: High PD-L1 expression was a poor prognostic biomarker in patients with NHL. Because of our limited sample size, high-quality studies with larger sample sizes are needed to validate our results.
OBJECTIVE: Although the prognostic value of programmed cell death-ligand 1 (PD-L1) expression in non-Hodgkin lymphoma (NHL) has been evaluated in many studies, the results remain controversial. To investigate the prognostic role of PD-L1 expression and the association between PD-L1 expression and clinicopathological features of NHL, we performed a meta-analysis. METHODS: The PubMed, EMBASE, and Cochrane Library databases were searched up to November 30, 2017. The hazard ratio (HR), 95% confidence interval (CI), and odds ratios (OR) with 95% CIs were combined to evaluate the association of PD-L1 expression with overall survival (OS) and clinicopathological features. Review manager 5.3 and STATA 12.0 were used in this meta-analysis. RESULTS: A total of 2,005 patients across nine studies were enrolled in our meta-analysis, and the pooled results showed that high PD-L1 expression was associated with a poor prognosis (HR=2.04, 95% CI: 1.18-3.54, P=0.01). In the subgroup analysis according to histology types, pooled results demonstrated that an increased PD-L1 expression was an unfavorable prognostic factor for diffuse large B-cell lymphoma (HR=1.92, 95% CI: 1.06-3.48, P=0.03) but not for natural killer/T-cell lymphoma (HR=2.41, 95% CI: 0.47-12.22, P=0.29). Pooled ORs indicated that PD-L1 expression was higher in NHL with international prognostic indices of ≥3. However, PD-L1 expression had no correlation with gender, age, disease stage, lactate dehydrogenase level, B symptoms, and germinal center B-cell-like lymphoma. CONCLUSIONS: High PD-L1 expression was a poor prognostic biomarker in patients with NHL. Because of our limited sample size, high-quality studies with larger sample sizes are needed to validate our results.
Authors: Pier Luigi Zinzani; Vincent Ribrag; Craig H Moskowitz; Jean-Marie Michot; John Kuruvilla; Arun Balakumaran; Yayan Zhang; Sabine Chlosta; Margaret A Shipp; Philippe Armand Journal: Blood Date: 2017-05-10 Impact factor: 22.113
Authors: Steven M Horwitz; Andrew D Zelenetz; Leo I Gordon; William G Wierda; Jeremy S Abramson; Ranjana H Advani; C Babis Andreadis; Nancy Bartlett; John C Byrd; Luis E Fayad; Richard I Fisher; Martha J Glenn; Thomas M Habermann; Nancy Lee Harris; Francisco Hernandez-Ilizaliturri; Richard T Hoppe; Mark S Kaminski; Christopher R Kelsey; Youn H Kim; Susan Krivacic; Ann S LaCasce; Matthew Lunning; Auayporn Nademanee; Oliver Press; Rachel Rabinovitch; Nishitha Reddy; Erin Reid; Kenneth Roberts; Ayman A Saad; Lubomir Sokol; Lode J Swinnen; Julie M Vose; Joachim Yahalom; Nadeem Zafar; Mary Dwyer; Hema Sundar; Pierluigi Porcu Journal: J Natl Compr Canc Netw Date: 2016-09 Impact factor: 11.908