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Reactive cutaneous capillary endothelial proliferation predicted the efficacy of camrelizumab in patients with recurrent/metastatic head and neck squamous cell carcinoma

医学 内科学 肿瘤科 头颈部鳞状细胞癌 不利影响 比例危险模型 入射(几何) 累积发病率 头颈部癌 放射治疗 队列 物理 光学
作者
Qianshan Ding,Yi Liu,Houyu Ju,Hyun-Ju Song,Ying Xiao,Xubao Liu,Gang Ren,Dong Wei
出处
期刊:Medicina Oral Patologia Oral Y Cirugia Bucal [Medicina Oral S.L.]
被引量:2
标识
DOI:10.4317/medoral.25919
摘要

Background: Reactive cutaneous capillary endothelial proliferation (RCCEP), a special adverse event (AE) only observed in patients treated with camrelizumab, was reported to be correlated with the efficacy of camrelizumab in patients with advanced hepatocellular carcinoma.This study to analyze the possible correlation between the occurrence of RCCEP and efficacy of camrelizumab in patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC).Material and Methods: In this study, we retrospectively analyzed the efficacy and RCCEP occurrence of camrelizumab in 58 patients with R/M HNSCC in the Shanghai Ninth People's Hospital affiliated to Shanghai JiaoTong University School of Medicine between January 2019 and June 2022.Kaplan-Meier analysis was used to assess the correlation between the occurrence of RCCEP and the survival of enrolled patients, and COX multifactor analysis was adopted to evaluate associated factors that affected the efficacy of camrelizumab immunotherapy.Results: A significant correlation between the incidence of RCCEP and a higher objective response rate was observed in this study (p=0.008).The occurrence of RCCEP was associated with better median overall survival (17.0 months vs. 8.7 months, p<0.0001,HR=5.944, 95% CI:2.097-16.84) and better median progression-free survival (15.1 months vs. 4.0 months, p<0.0001,HR=4.329,95%CI:1.683-11.13).In COX multifactor analysis, RCCEP occurrence was also an independent prognostic factor affecting OS and PFS in patients with R/M HNSCC.Conclusions: The occurrence of RCCEP can show a better prognosis, it could be used as a clinical biomarker to predict the efficacy of camrelizumab treatment.
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