Increased PD-L1 expression in high-grade bladder cancer with squamous cell differentiation in Bulgarian and French patients' samples.

来自 PUBMED

作者:

Gulinac MDikov DVelikova TBelovezhdov V

展开

摘要:

Urothelial carcinomas (UC) of the bladder are biologically and clinically heterogeneous and the most common malignancy of the urinary tract in developed countries worldwide, where several checkpoint targets as programmed death ligand-1 (PD-L1) and programmed cell death protein (PD-1) have received the most attention in the treatment of bladder cancer. However, the clinicopathological impact of this biomarker has not yet been established enough. To evaluate programmed death ligand-1 (PD-L1) expression in UCs of the bladder in Bulgarian and French patients' samples. Urothelial bladder carcinomas cases from 2016-2020 were retrospectively were analyzed. The cohort included 105 cases: 42 (40%) low grade and 63 (60%) high grade. Immunohistochemical (IHC) staining for PD-L1 expression was performed using an anti-PD-L1 primary antibody clone 22C3pharmDx only to 73/105 cases. Approximately 21/73 cases (28.8%) of urothelial bladder carcinomas demonstrated positive PD-L1 expression, and in 52/73 cases (71.2%) were negative. Positive PD-L1 expression was associated with high grade and high pathologic stage (p < 0.001). We found that PD-L1 was expressed in a significant percentage in UC with squamous differentiation (40%), followed by classic UC (30%). An association between histological grading systems of bladder UC (WHO1973 and WHO 2016) and the TNM-staging system, estimated by Pearson correlation coefficients (r = 0.590 and r = 0.583, respectively, p < 0.001) was observed. We found that PD-L1 expression is increased in patients with muscle-invasive UC, and PD-L1 might be a new biomarker that correlates with the pathological stage of urothelial bladder cancer and might predict recurrence-free survival.

收起

展开

DOI:

10.1016/j.anndiagpath.2020.151640

被引量:

5

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(274)

参考文献(0)

引证文献(5)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读