Tumor immune microenvironment and clinical outcomes in stage IV urothelial cancer: YODO study

肿瘤免疫微环境与IV期尿路上皮癌临床结局:YODO研究

阅读:1

Abstract

BACKGROUND: Bladder cancer is the 10th most common cancer globally, with a growing incidence in Japan. Evaluation of molecular, genetic, and cellular biomarkers that predict treatment response and prognosis in patients with metastatic urothelial carcinoma (mUC) may help optimize sequential treatment strategies with chemotherapy and immune checkpoint inhibitors (ICIs). METHODS: This multicenter, retrospective cohort study, evaluated programmed death-ligand 1 (PD-L1) expression, tumor mutational burden (TMB), and cancer-immune phenotype as predictive prognostic biomarkers following first-/second-line treatment in Japanese adult patients with mUC. The primary endpoint was prevalence of PD-L1 expression. Secondary endpoints were TMB, overall survival (OS), and progression-free survival (PFS) from initiation of first-line treatment, and exploratory endpoints were cancer-immune phenotype, OS, PFS, and treatment response according to potential biomarker status. RESULTS: Of the 143 patients included (mean age 71.7 years), PD-L1 expression was high in 29.4% of patients. Non-synonymous TMB was high in 33.6% and low in 66.4%. Cancer-immune phenotype was immune-desert in 62.9%, immune-excluded in 30.8%, and inflamed in 6.3%. Median OS and PFS following first-line treatment were 18.2 and 7.4 months, respectively. Overall response to second-line treatment was slightly better with high versus low/negative PD-L1 expression. PD-L1 expression and TMB were non-significant predictors of OS or PFS, whereas immune-excluded phenotype was associated with better OS in comparison with immune-desert phenotype. CONCLUSION: PD-L1 expression and TMB were non-significant predictors of prognosis after first-line treatment in Japanese patients with mUC, but cancer-immune phenotype may be an important prognostic factor in chemotherapy-ICI sequential treatment strategies. Clinical trial registration number UMIN000037727.

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。