Efficacy of cross-line anti-programmed death 1/programmed cell death-ligand 1 antibody in the treatment of advanced nonsmall cell lung cancer: A retrospective study

交叉抗程序性死亡受体1/程序性死亡配体1抗体治疗晚期非小细胞肺癌的疗效:一项回顾性研究

阅读:1

Abstract

BACKGROUND AND AIMS: Immune checkpoint inhibitors (ICIs) across multiple treatment lines have not yet been evaluated comprehensively. The purpose of this research was to investigate whether or not continuous cross-line ICIs therapy is effective in treating non-small cell lung cancer (NSCLC). METHODS: We conducted a retrospective investigation into the medical histories of 47 patients diagnosed with advanced NSCLC and treated with ICIs at the Peking University First Hospital between January 2018 and June 2022. RESULTS: Due to the progression of their disease, 14 patients were given the same ICIs, 5 patients were given different ICIs, and 6 patients discontinued taking ICIs altogether. The objective response rates were 7.140% in the ICIs cross-line treatment group, 0% in the replacement of ICIs treatment group, and 0% in the discontinuation of ICIs treatment group. The disease control rates were 64.260% in the ICIs cross-line treatment group, 60% in the replacement of ICIs treatment group, and 0% in the discontinuation of ICIs treatment group. The average overall survival durations of the three groups were 24.020 (95% confidence interval [CI]: 17.061-30.979), 31.643 (95% CI: 23.513-39.774), and 7.997 (95% CI: 3.746-12.247) months, respectively (p = 0.003). The median second progression-free survival (PFS2) durations of the three groups were 4.570 (95% CI: 3.276-5.864), 3.530 (95% CI: 0.674-6.386), and 1.570 (95% CI: 0-4.091) months, respectively (p = 0.091). CONCLUSIONS: Cross-line ICIs cannot improve the prognosis and PFS2 of patients with NSCLC, but compared to discontinuing ICIs, OS may be prolonged. A few patients may benefit from prolonged ICIs therapy.

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。