The relationship between clinicopathological variables, systemic inflammation, and CT-derived body composition with survival in patients with advanced non-small cell lung cancer receiving nivolumab as a second-line treatment

临床病理变量、全身炎症和CT衍生的身体成分与接受纳武利尤单抗二线治疗的晚期非小细胞肺癌患者生存率之间的关系

阅读:2

Abstract

BACKGROUND: Second-line immunotherapy is currently recognized to help only a subset of patients with advanced forms of non-small cell lung cancer (NSCLC). The current study analyzes the connection between prior treatment host/tumor characteristics and survival in advanced NSCLC patients receiving nivolumab as a second-line therapy. METHODS: A retrospective cohort analysis was carried out on individuals with advanced NSCLC receiving second-line Nivolumab with palliative intent between February 2016 and May 2019 across three health boards in NHS Greater Glasgow and Clyde, Lanarkshire, Ayrshire, and Arran in Scotland to examine the association between systemic inflammation, body composition, and survival were determined using computed tomography (CT). RESULTS: The current study investigates the connection between prior treatment host/tumor characteristics and survival in advanced NSCLC patients receiving nivolumab as a second-line therapy. The majority were 65 years of age or older (51%), female (53%), had adenocarcinoma (53%), and had good performance status (ECOG 0/1) (86%). Most patients had high SFI (70%) or VFA (54%). The median overall survival after starting Nivolumab was 15 months. ECOG-PS and hypoalbuminemia were significant predictors of 12-month survival in patients with advanced NSCLC following Nivolumab treatment, according to Cox regression (p-value = 0.047 and 0.014, respectively). CONCLUSION: In patients with advanced NSCLC receiving Nivolumab as a second-line therapy, ECOG-PS and hypoalbuminemia were strongly associated with survival. Systemic inflammation and hypoalbuminemia measurements may enhance the ECOG-PS stratification of expected outcomes.

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。