Real-World Prevalence of PD-L1 Expression Among Tumor Samples From Patients With Non-Small-Cell Lung Cancer.

来自 PUBMED

摘要:

We analyzed the prevalence of non-small-cell lung cancer (NSCLC) with a programmed cell death ligand 1 (PD-L1) tumor proportion score (TPS) of ≥ 50% and compared the results with the existing data from clinical trials and databases from other countries. The Latin American Cooperative Oncology Group and Grupo Brasileiro de Oncologia Torácica performed a retrospective, cross-sectional study from August 2017 to April 2018. PD-L1 expression was collected from pathology reports from 5 laboratories in Brazil. All tests were sponsored by the pharmaceutical industry on request from the treating medical oncologist. PD-L1 expression was assessed by immunohistochemistry. The variables were summarized as absolute and relative frequencies or the median and interquartile range. Pearson's χ2 test was used to compare the TPS categories stratified by sex, age, and histologic type. All analyses were performed with SAS, version 9.4, and were deemed statistically significant at P < .05. A total of 1512 patients were included in the present study. Their median age was 66 years. Most patients were men (56.02%), and the most common histologic type was adenocarcinoma (58.04%); 109 tumors (11.31%) had EGFR mutations and 34 (3.64%) had ALK gene rearrangements. Overall, 56.54% had a PD-L1 TPS < 1%, 25.63% a TPS of 1% to 49%, and 17.83% a TPS of ≥ 50%. The factors associated with PD-L1 expression were histologic type (with adenocarcinoma samples having a greater proportion of TPS < 1%) and the laboratory that performed the test. The prevalence of high PD-L1 expression among the Brazilian NSCLC samples was lower than previously described in other countries, which could affect the number of patients who might be candidates for immunotherapy alone.

收起

展开

DOI:

10.1016/j.cllc.2020.04.007

被引量:

7

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(248)

参考文献(0)

引证文献(7)

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