Prognostic value of lactate dehydrogenase to albumin ratio in first-line chemoimmunotherapy for locally advanced or metastatic non-small cell lung cancer

乳酸脱氢酶与白蛋白比值在局部晚期或转移性非小细胞肺癌一线化疗免疫治疗中的预后价值

阅读:1

Abstract

BACKGROUND: Immune checkpoint inhibitors (ICIs) combined with platinum-based dual chemotherapy has been widely used as first-line treatment modality for patients with locally advanced or metastatic non-small cell lung cancer (NSCLC). This study aimed to investigate the potential value of lactate dehydrogenase to albumin ratio (LAR) in predicting treatment efficacy in these patients. METHODS: A total of 110 patients with locally advanced or metastatic NSCLC treated with first-line chemoimmunotherapy between January 2021 and March 2024 at Xuanwu Hospital, Capital Medical University, were enrolled. In different subgroups, according to a 50% ratio, patients were divided into high baseline LAR and low baseline LAR groups and their progression-free survival (PFS) was compared. Then univariate and multivariate cox hazard analyses were conducted to identify independent predictors of PFS. Finally, a nomogram was constructed to intuitively show the results. RESULTS: The PFS of patients with high baseline LAR was significantly shorter than that of patients with low baseline LAR, regardless of whether in the overall patient population, different staging subgroups, or different pathological type subgroups (P<0.01). Based on multivariate cox analysis, age, programmed death-ligand 1 (PD-L1) tumor proportion score (TPS) and baseline LAR were identified as independent indicators affecting PFS. Then a nomogram based on these three predictors was constructed accordingly and its C-index was 0.801 [95% confidence interval (CI): 0.747-0.855]. CONCLUSIONS: The present study demonstrates that LAR is a useful prognostic predictor in patients with locally advanced or metastatic NSCLC treated with first-line chemoimmunotherapy in clinical practice.

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。