Intra-Tumoral Lymphocytic Infiltration Is Associated with Favorable Prognosis in Suboptimal Surgery in High-Grade Serous Ovarian Carcinoma

肿瘤内淋巴细胞浸润与高级别浆液性卵巢癌次优手术的良好预后相关

阅读:1

Abstract

Background: The immunoreactive (IR) subtype is one of the subtypes of high-grade serous ovarian carcinoma (HGSOC) with intra-tumoral lymphocytic infiltration. A positive prognostic correlation between IR subtype and R0 + optimal surgery has been reported. This study investigates the prognostic significance of tumor-infiltrating lymphocytes (TILs) in the suboptimal surgery group of HGSOCs. Methods: After reviewing 318 malignant ovarian tumors detected in our database between 2000 and 2017, 74 HGSOCs with supplemental p53 immunostaining were selected. Differences in progression-free survival (PFS) and overall survival (OS) between the two groups of the IR subtype and the other subtypes were investigated. Based on pathological findings, HGSOCs were divided into two groups: those with or without abundant TILs. Results: Abundant TILs were detected in 17 cases of HGSOC (22.9%). Clinicopathological characteristics including age, CA125, FIGO stage, and residual disease did not show significant differences between the two groups. Lymph node metastasis was more common in the IR subtype group (p = 0.04). In the suboptimal surgery group, the 5-year PFS and OS (Kaplan-Meier estimates) in cases with (n = 10) or without (n = 21) abundant TILs were 10% and 0% (p = 0.097) and 70% and 28.5% (p = 0.012), respectively. The median time (range) to OS in cases with or without abundant TILs were 58 (34-81) months and 39 (22-55) months, respectively. Multivariate analysis in OS showed significant differences in TILs. Conclusions: Abundant intra-tumoral lymphocytic infiltration is an independent and favorable prognostic indicator for the suboptimal surgery group in HGSOCs and is associated with treatment response via cancer immunity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。