Comprehensive analysis of local immune state of ovarian cancers may provide a tool for the application of immune therapies to treat ovarian cancer patients.

采用肿瘤浸润性免疫细胞和免疫抑制因子的系统聚类法对卵巢癌局部免疫状态进行综合分析，筛选出预后较好的卵巢癌患者亚群。这项研究还表明，免疫抑制因素可能影响肿瘤浸润性免疫细胞的模式。这些分析可能有助于准确了解卵巢癌患者的局部免疫状态，并为应用免疫疗法治疗卵巢癌患者提供工具。

Comprehensive analysis of local immune state of ovarian cancers by using hierarchical clustering of tumor-infiltrating immune cells and immunosuppressive factors was used to identify a subgroup of ovarian cancer patients with a better prognosis. This study also suggested that immunosuppressive factors might influence the pattern of tumor-infiltrating immune cells. The analyses shown here may lead to a precise understanding of the local immune status and provide a tool for the application of immune therapies to treat ovarian cancer patients.