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      Clinical Significance of Programmed Death Ligand‑1 and Intra-Tumoral CD8 + T Lymphocytes in Ovarian Carcinosarcoma

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          Abstract

          Ovarian carcinosarcoma (OCS) accounts for high mortality and lacks effective therapeutic methods. So far, we lack reliable biomarkers capable of predicting the risk of aggressive course of the disease. Programmed death ligand-1 (PD-L1) is expressed in various tumors, and antibodies targeting its receptor programmed cell death 1 (PD-1) are emerging cancer therapeutics. This study was designed to evaluate the expression of PD-L1 and intratumoral CD8+ T lymphocytes by immunohistochemistry from 19 OCS patients who underwent primary surgery at Fudan University Shanghai Cancer Center. The correlations between PD-L1 expression and CD8+ T lymphocytes as well as the patients’ clinicopathologic characteristics were integrated and statistically analyzed. PD-L1-positive expression was observed in 52.6% of intraepithelial tissues and 47.4% of mesenchymal tissues (p = 0.370). Meanwhile, intraepithelial and mesenchymal CD8+ T lymphocytes were positive in 36.8% and 84.2% of OCS, respectively (p = 0.628). A significantly negative correlation was found between mesenchymal CD8+ T lymphocytes and PD-L1 expression (r = -0.630, p = 0.011). Intraepithelial PD-L1-positive expression was associated only with positive ascitic fluid (p = 0.008). Mesenchymal PD-L1-positive patients had a poorer survival than those with negative expression (p = 0.036). Meanwhile, intraepithelial PD-L1-positive patients had a better survival trend than PD-L1-negative patients, though no statistical significance was found (p = 0.061). There was a better postoperative survival noted in mesenchymal CD8-positive patients (p = 0.024), and allthough a better trend of OS was observed in intraepithelial CD8-positive patients, no statistical significance was found (p = 0.382). Positive tumoral CD8+ T lymphocytes and mesenchymal PD-L1-negative expression seem to be associated with better survival in OCS. It is possible that immunotherapy targeting PD-L1 pathway could be used in OCS.

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          Blockade of B7-H1 improves myeloid dendritic cell-mediated antitumor immunity.

          Suppression of dendritic cell function in cancer patients is thought to contribute to the inhibition of immune responses and disease progression. Molecular mechanisms of this suppression remain elusive, however. Here, we show that a fraction of blood monocyte-derived myeloid dendritic cells (MDCs) express B7-H1, a member of the B7 family, on the cell surface. B7-H1 could be further upregulated by tumor environmental factors. Consistent with this finding, virtually all MDCs isolated from the tissues or draining lymph nodes of ovarian carcinomas express B7-H1. Blockade of B7-H1 enhanced MDC-mediated T-cell activation and was accompanied by downregulation of T-cell interleukin (IL)-10 and upregulation of IL-2 and interferon (IFN)-gamma. T cells conditioned with the B7-H1-blocked MDCs had a more potent ability to inhibit autologous human ovarian carcinoma growth in non-obese diabetic-severe combined immunodeficient (NOD-SCID) mice. Therefore, upregulation of B7-H1 on MDCs in the tumor microenvironment downregulates T-cell immunity. Blockade of B7-H1 represents one approach for cancer immunotherapy.
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            Prognostic significance of tumor-infiltrating T cells in ovarian cancer: a meta-analysis.

            The presence of T cells within the epithelial component of tumors, as histologic evidence of anti-tumor immunity, has been associated with a survival advantage in multiple studies across diverse patient cohorts. We performed a meta-analysis of studies evaluating the prognostic value of tumor-infiltrating lymphocytes (TIL) on survival among women with ovarian cancer and to investigate factors associated with variations in this effect, including patient characteristics, surgical outcomes, tumor histology, and study protocols. Published studies that evaluated the association between TIL and patient survival were identified. Descriptive statistics, outcome data, and study quality were extracted from studies that met inclusion criteria. Hazard ratios and 95% confidence intervals were pooled across studies using the random-effects model. Publication bias was investigated using a funnel plot and heterogeneity was assessed with subgroup analysis and I(2) statistics. Ten suitable studies comprising 1815 patients with ovarian cancer were analyzed. Our results demonstrate that a lack of intraepithelial TILs is significantly associated with a worse survival among patients (pooled HR: 2.24, 95% CI; 1.71-2.91). Variations in the prognostic value of TIL status based on debulking status, scoring method, and geographic regions were identified. Intraepithelial TILs are a robust predictor of outcome in ovarian cancer and define a specific class of patients, whose distinct tumor biology should be taken into account in devising appropriate therapeutic strategies. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Expression of programmed death ligand 1 (PD-L1) is associated with poor prognosis in human breast cancer.

              Recent studies in multiple epithelial cancers have shown that the inhibitory receptor programmed cell death 1 (PD-1) is expressed on tumor-infiltrating lymphocytes and/or programmed death ligand 1 (PD-L1) is expressed on tumor cells, suggesting that antitumor immunity may be modulated by the PD-1/PD-L1 signaling pathway. In addition, phase 1 clinical trials with monoclonal antibodies targeting PD-1 or PD-L1 have shown promising results in several human cancers. The purpose of this study was to investigate the impact of PD-L1 expression in human breast cancer specimens. We conducted an immunohistochemistry study using a tissue microarray encompassing 650 evaluable formalin-fixed breast cancer cases with detailed clinical annotation and outcomes data. PD-L1 was expressed in 152 (23.4 %) of the 650 breast cancer specimens. Expression was significantly associated with age, tumor size, AJCC primary tumor classification, tumor grade, lymph node status, absence of ER expression, and high Ki-67 expression. In univariate analysis, PD-L1 expression was associated with a significantly worse OS. In multivariate analysis, PD-L1 expression remained an independent negative prognostic factor for OS. In subset analyses, expression of PD-L1 was associated with significantly worse OS in the luminal B HER2(-) subtype, the luminal B HER2(+) subtype, the HER2 subtype, and the basal-like subtype. This is the first study to demonstrate that PD-L1 expression is an independent negative prognostic factor in human breast cancer. This finding has important implications for the application of antibody therapies targeting the PD-1/PD-L1 signaling pathway in this disease.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 January 2017
                2017
                : 12
                : 1
                : e0170879
                Affiliations
                [1 ]Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, PR China
                [2 ]Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, PR China
                [3 ]Department of Breast Cancer, Fudan University Shanghai Cancer Center, Shanghai, PR China
                [4 ]Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
                Mayo Clinic College of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: JZ HW XJ XW.

                • Data curation: JZ HW.

                • Formal analysis: JZ.

                • Funding acquisition: HW XW.

                • Investigation: JZ RB.

                • Methodology: JZ HW XJ.

                • Project administration: JZ HW XJ XW.

                • Resources: HW RB.

                • Software: JZ HW XJ.

                • Supervision: XW.

                • Validation: JZ XW.

                • Visualization: JZ.

                • Writing – original draft: JZ HW XJ.

                • Writing – review & editing: JZ HW WZ XJ.

                Article
                PONE-D-16-46061
                10.1371/journal.pone.0170879
                5268655
                28125702
                6986067c-3d6b-4183-be1e-7de22c83ac92
                © 2017 Zhu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 20 November 2016
                : 11 January 2017
                Page count
                Figures: 3, Tables: 5, Pages: 15
                Funding
                This work was supported by the Science and Technology Commission of Shanghai Municipality (Grant No.12411950300). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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