医学
阿替唑单抗
无容量
杜瓦卢马布
中止
肺癌
内科学
不利影响
临床试验
肿瘤科
随机对照试验
癌症
免疫疗法
彭布罗利珠单抗
作者
Alvise Berti,Roberto Bortolotti,Mariachiara Dipasquale,Stefania Kinspergher,Larry J. Prokop,Guido Grandi,S. Inchiostro,Giuseppe Paolazzi,Orazio Caffo,Antonello Veccia
标识
DOI:10.1016/j.critrevonc.2021.103351
摘要
The introduction in clinical practice of the immune checkpoint inhibitors (ICIs) radically changed the treatment algorithm of lung cancers. To characterize the toxicity of ICIs (atezolizumab, durvalumab, nivolumab, pembrolizumab) is important for personalizing treatment. We performed a systematic review and meta-analysis of phase III randomized controlled trials assessing ICIs, from inception until April 23rd, 2020. We extracted the data from the ICI arm of each trial for indirect comparisons to estimate relative risk for immune-related adverse events (irAEs), severe (grade ≥3) irAEs, drug discontinuation due to irAEs or toxic death. Sixteen trials included a total of 6226 subjects randomized to the experimental immunotherapy arm. Immunotherapy was administered in monotherapy (8 trials), in combination with chemotherapy (6 trials) or other ICI (2 trials). Any grade irAEs and severe irAEs for ICI were 37.1% and 18.5%, respectively. Discontinuations due to any grade irAEs and severe irAEs were 13.8% and 9.2%, respectively; toxic deaths were 2.9% in the immunotherapy arm. Pooled data on any, severe and organ-specific irAEs showed that immunotherapy has a significantly lower risk of irAEs compared to immuno-chemotherapy, especially when analysis was restricted to monoimmunotherapy, like drug discontinuation and toxic death (all p < 0.05). Detailed comparisons between different ICIs provided treatment-related risk profiles for organ-specific irAEs. Our findings contribute to clarifying frequency and features of immune-related toxicities between different ICIs in lung cancer patients, including any grade irAEs, severe irAEs, drug discontinuation and toxic deaths, and may be useful to inform the selection of treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI