医学
癸他滨
内科学
耐火材料(行星科学)
肿瘤科
胃肠病学
外科
生物化学
天体生物学
基因
物理
基因表达
化学
DNA甲基化
作者
Jing Nie,Chunmeng Wang,Yang Liu,Qingming Yang,Qian Mei,Liang Dong,Xiang Li,Jiejie Liu,Wenjing Ku,Yan Zhang,Meixia Chen,Xiaojing An,Lu Shi,Malcolm V. Brock,Jie Bai,Weidong Han
摘要
PURPOSE: Anti-programmed death-1 (PD-1) monotherapy induces a high response rate in patients with relapsed/refractory classic Hodgkin lymphoma (cHL), but complete remission (CR) is infrequently observed. As decitabine is known to boost T-cell function, we assessed the safety and efficacy of anti-PD-1 camrelizumab alone versus decitabine-primed camrelizumab in patients with relapsed/refractory cHL. METHODS: This two-arm, open-label, phase II study enrolled patients with relapsed/refractory cHL who had received at least two lines of previous therapy. Anti-PD-1 treatment-naïve patients were randomly assigned (1:2) to camrelizumab (200 mg) monotherapy or decitabine (10 mg/d, days 1 to 5) plus camrelizumab (200 mg, day 8) combination therapy every 3 weeks. Patients who were previously treated with anti-PD-1 were assigned combination therapy. Primary end point was CR rate and safety. RESULTS: = .003). At the time of analysis, the response duration rate at 6 months was 76% on camrelizumab monotherapy versus 100% on decitabine plus camrelizumab. For patients who were previously treated with anti-PD-1, 28% achieved CR and 24% partial response after decitabine plus camrelizumab. Ten patients maintained a response at more than 6 months and 81% of responders were estimated to have a response at more than 1 year. For both treatments, the most common adverse events were clinically inconsequential cherry hemangiomas and leukocytopenia that were self-limiting. CONCLUSION: CR rate in patients with relapsed/refractory cHL who were clinically naïve to PD-1 blockade was significantly higher with decitabine plus camrelizumab than with camrelizumab alone. Decitabine plus camrelizumab may reverse resistance to PD-1 inhibitors in patients with relapsed/refractory cHL.
科研通智能强力驱动
Strongly Powered by AbleSci AI