Xiaoyang Li1,2, Yu Zheng1,2, Fei Yue3,4. 1. Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. 2. Department of Hematology, Shigatse Municipal People's Hospital, Shigatse, 857000, Tibet, China. 3. Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. yue.fei@163.com. 4. Department of General Surgery, Shigatse Municipal People's Hospital, Shigatse, 857000, Tibet, China. yue.fei@163.com.
Abstract
BACKGROUND: The prognostic value of soluble programmed cell death ligand-1 (sPD-L1) in patients with cancer has been inconsistent across previous studies. OBJECTIVE: This meta-analysis aimed to investigate the prognostic significance of sPD-L1 in human tumors. METHODS: A comprehensive search of PubMed, Web of Science, Embase, and Cochrane databases from inception to January 6, 2020 was conducted. Studies of sPD-L1 measured by enzyme-linked immunosorbent assay (ELISA) that had available hazard ratios (HRs) for survival outcomes based on high or low sPD-L1 levels were included. The primary endpoint was long-term survival, namely, overall survival (OS), and the second endpoint was short-term survival, including progression-free survival (PFS), disease-free survival (DFS), recurrence-free survival (RFS), and cancer-specific survival (CSS). RESULTS: A total of 21 studies, with 2413 patients, were included in this meta-analysis. Elevated sPD-L1 was associated with worse OS [HR = 2.46, 95% confidence interval (CI) 1.74-3.49, P < 0.001]. Moreover, high sPD-L1 was predictive of worse PFS/DFS/RFS/CSS (HR = 2.22, 95% CI 1.47-3.35, P < 0.001). High sPD-L1 was consistently correlated with poor OS and PFS/DFS/RFS/CSS irrespective of study design, sample, and cut-off value of sPD-L1. However, there was non-significant correlation between sPD-L1 and sex, age, clinical stage, Eastern Cooperative Oncology Group Performance Status, tumor differentiation, or serum lactate dehydrogenase. CONCLUSIONS: This meta-analysis showed that sPD-L1 was correlated with poor prognosis in human tumors. In addition, sPD-L1 could be used as a predictive factor of inferior outcomes during multiple malignancy treatments.
BACKGROUND: The prognostic value of soluble programmed cell death ligand-1 (sPD-L1) in patients with cancer has been inconsistent across previous studies. OBJECTIVE: This meta-analysis aimed to investigate the prognostic significance of sPD-L1 in humantumors. METHODS: A comprehensive search of PubMed, Web of Science, Embase, and Cochrane databases from inception to January 6, 2020 was conducted. Studies of sPD-L1 measured by enzyme-linked immunosorbent assay (ELISA) that had available hazard ratios (HRs) for survival outcomes based on high or low sPD-L1 levels were included. The primary endpoint was long-term survival, namely, overall survival (OS), and the second endpoint was short-term survival, including progression-free survival (PFS), disease-free survival (DFS), recurrence-free survival (RFS), and cancer-specific survival (CSS). RESULTS: A total of 21 studies, with 2413 patients, were included in this meta-analysis. Elevated sPD-L1 was associated with worse OS [HR = 2.46, 95% confidence interval (CI) 1.74-3.49, P < 0.001]. Moreover, high sPD-L1 was predictive of worse PFS/DFS/RFS/CSS (HR = 2.22, 95% CI 1.47-3.35, P < 0.001). High sPD-L1 was consistently correlated with poor OS and PFS/DFS/RFS/CSS irrespective of study design, sample, and cut-off value of sPD-L1. However, there was non-significant correlation between sPD-L1 and sex, age, clinical stage, Eastern Cooperative Oncology Group Performance Status, tumor differentiation, or serum lactate dehydrogenase. CONCLUSIONS: This meta-analysis showed that sPD-L1 was correlated with poor prognosis in humantumors. In addition, sPD-L1 could be used as a predictive factor of inferior outcomes during multiple malignancy treatments.
Authors: Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal Journal: CA Cancer J Clin Date: 2018-09-12 Impact factor: 508.702