Department of OB/GYN, Peking University Third Hospital, Beijing, China.
Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Front Immunol. 2021 Jan 25;11:613773. doi: 10.3389/fimmu.2020.613773. eCollection 2020.
Ovarian cancer (OC) is one of the most lethal malignant gynecologic tumors, characterized by an uncertain presentation and poor outcomes. With or without neoadjuvant chemotherapy, surgery followed by platinum-based chemotherapy and maintenance therapy are the basis for the treatment of ovarian cancer patients, but the outcome is still highly restricted by their advanced stage when diagnosed and high recurrence rate after chemotherapy. To enhance the anti-tumor effect and postpone recurrence, anti-VEGF agents and PARP inhibitors are suggested as maintenance therapy, but the population that can benefit from these treatments is small. Based on the interactions of immune cells in the tumor microenvironment, immunotherapies are being explored for ovarian cancer treatment. Disappointingly, the immune checkpoint inhibitors show relatively low responses in ovarian cancer. As shown in several studies that have uncovered a relationship between DC infiltration and outcome in ovarian cancer patients, dendritic cell (DC)-based treatments might have a potential effect on ovarian cancer. In this review, we summarize the functions of dendritic cells (DCs) in the tumor microenvironment, as well as the responses and drawbacks of existing clinical studies to draw a comprehensive picture of DC vaccine treatment in ovarian cancer and to discuss the promising future of immune biomarkers.
卵巢癌（OC）是最致命的妇科恶性肿瘤之一，其特征为表现不确定且预后不良。无论是否接受新辅助化疗，手术联合铂类为基础的化疗和维持治疗是卵巢癌患者的治疗基础，但由于其诊断时的晚期阶段和化疗后高复发率，其治疗效果仍然受到极大限制。为了增强抗肿瘤效果并推迟复发，抗血管内皮生长因子（VEGF）药物和聚 ADP 核糖聚合酶（PARP）抑制剂被推荐作为维持治疗，但能从这些治疗中获益的人群有限。基于肿瘤微环境中免疫细胞的相互作用，免疫疗法正在被探索用于卵巢癌的治疗。令人失望的是，免疫检查点抑制剂在卵巢癌中的反应相对较低。正如几项研究表明，树突状细胞（DC）浸润与卵巢癌患者的预后之间存在关系，基于树突状细胞（DC）的治疗可能对卵巢癌具有潜在的效果。在这篇综述中，我们总结了树突状细胞（DC）在肿瘤微环境中的作用，以及现有临床研究对其的反应和缺陷，以全面描绘卵巢癌中 DC 疫苗治疗的现状，并讨论免疫生物标志物的前景。
