| Literature DB >> 27720576 |
Congqi Dai1, Ruixuan Geng2, Chenchen Wang3, Angela Wong4, Min Qing4, Jianjun Hu4, Yu Sun4, A W I Lo5, Jin Li6.
Abstract
Checkpoint blockade therapy has emerged as a novel approach for cancer immunotherapy in several malignancies. However, patient prognosis and disease progression relevant to immune checkpoints in gastric tumor microenvironment are not defined. This study aims to investigate the expression and prognostic significance of immune checkpoints within gastric cancer. In the study, a cohort of 398 cancer tissues from stage I to IV gastric cancer patients were assessed for programmed cell death 1 ligand 1 (PD-L1) expression and tumor-infiltrating lymphocyte (TIL) infiltration using immunohistochemistry to ascertain their survival correlation. The data revealed that higher TIL density correlated with less risk of disease progression, and exhibited survival benefits in gastric cancer patients, and PD-L1 positivity showed a significant association with the presence of high TIL infiltration. Furthermore, real-time quantitative polymerase chain reaction was performed to detect expression of multiple immune checkpoints with the relation to clinical outcome in 139 samples randomly selected from the same cohort, and higher messenger RNA levels of most immune checkpoints were associated with favorable outcome, while consistently showing a positive correlation with interferon gamma levels. In situ hybridization was used to determine the localization of Epstein-Barr virus (EBV) in 97 specimens, and showed EBV-positive gastric cancer samples correlated with PD-L1 expression and increased TIL density. These results suggest that induction of immune checkpoint within gastric cancer patients reflects a high immune infiltration density, especially in those with EBV-associated gastric cancer, which may direct patient selection for checkpoint blockade therapy.Entities:
Keywords: Gastric carcinoma; Immune checkpoint; Prognosis; Programmed cell death 1 ligand 1; Tumor-infiltrating lymphocytes
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Year: 2016 PMID: 27720576 PMCID: PMC5423138 DOI: 10.1016/j.molonc.2016.09.004
Source DB: PubMed Journal: Mol Oncol ISSN: 1574-7891 Impact factor: 6.603