Tumor-Infiltrating Immune Cells and PD-L1 as Prognostic Biomarkers in Primary Esophageal Small Cell Carcinoma. (29th December 2020)

• Record Type: Journal Article
• Authors: Wu, Xiao; Ke, Xiurong; Ni, Yangpeng; Kuang, Liping; Zhang, Fan; Lin, Yusheng; Lin, Wan; Xiong, Xiao; Huang, Haihua; Lin, Xianjie; Zhang, Hao
• Other Names: Mulens Vladimir Academic Editor.
• Is Part Of: Journal of immunology research. Volume 2020(2020)
• Publication Date: 2020-12-29
• Subjects: Immunology -- Periodicals; Immunology -- Research -- Periodicals; 616.07905
• DOI: 10.1155/2020/8884683
• Languages: English
• ISSNs: 2314-8861

Abstract

Abstract : Primary esophageal small cell carcinoma (PESCC) is a weakly prevalent but lethal malignancy with early metastasis and a poor prognosis. Currently, neither effective prognostic indicators nor curative therapies are available for PESCC. Immunotherapy has now evolved into one of the most promising therapies for cancer patients. Tumor-infiltrating immune cells which are integral to the tumor immune microenvironment (TIME) are recognized as highly important for prognosis prediction, while the responsiveness to immune checkpoint blockade may be subject to the features of TIME. In this study, we aim to identify the TIME and provide indication for the applicability of immune checkpoint therapy in PESCC. We found that PD-L1 expression was detected in 33.33% (27/81) of all the patients, mostly exhibiting a stroma-only pattern and that it was positively associated with tumor-infiltrating immune cells (CD4 +, CD8 +, and CD163 + ). In 74.07% of PD-L1-positive specimens, PD-L1 + CD163 + cells were colocalized more with CD4 + than CD8 + T cells. 83.95% (68/81) of all the specimens were infiltrated with more CD4 + than CD8 + T cells. Further analysis showed FoxP3 + Tregs constituted 13-27% of the total CD4 + T cell population. The Kaplan-–Meier analysis indicated several factors that contribute to poor survival, including negative PD-L1 expression, rich CD4 expression, rich FoxP3 expression, a low CD8/CD4 ratio, and a high FoxP3/CD8 ratio. A nomogram model was constructed and showed good performance for survival prediction. These results highlight that a suppressive TIME contributes to poor survival of patients with PESCC. TIME analyses might be a promising approach to evaluate the possibility and effect of immune checkpoint-based immunotherapeutics in PESCC patients.