Survivorship outcomes in patients treated with immune checkpoint inhibitors: a scoping review

Deniz Can Güven, Melissa SY Thong, Volker Arndt

Journal of Cancer Survivorship(2024)

引用 0|浏览0
暂无评分
摘要
Background Immune checkpoint inhibitors (ICIs) have become a central part of cancer care. However, the survivorship outcomes in patients treated with ICIs are understudied. Therefore, we conducted a scoping review to evaluate the current status of the field and to establish research gaps regarding survivorship outcomes with ICIs in real-life cohorts. Methods We used the Web of Science, PubMed, and Embase databases to systematically filter published studies with real-life cohorts from January 1, 2010, until October 19, 2022. Studies evaluating at least one survivorship outcome in ICI-treated patients were included. Results A total of 39 papers were included. Quality of life (QoL) ( n = 23), toxicity burden ( n = 16), and psychosocial issues ( n = 9) were the most frequently evaluated survivorship outcomes. Anti-PD-1/PD-L1 monotherapy and a response to treatment were associated with better QoL. In addition, the ICIs were associated with grade 3 or higher immune-related adverse events (irAEs) in 10–15% and late/long-term irAEs in 20–30% of the survivors. Regarding psychosocial problems, over 30% of survivors showed evidence of anxiety and depression, and 30–40% of survivors reported neurocognitive impairments. Conclusion The survivors treated with ICIs have impairments in most survivorship domains. Further research is needed to gather data on the understudied survivorship outcomes like late and long-term effects, fertility, financial toxicity, and return to work in survivors treated with ICIs. Implications for Cancer Survivors Available evidence demonstrates that a significant portion of survivors treated with ICIs have a significant toxicity burden, lower QoL than the general population, and a high rate of psychosocial problems.
更多
查看译文
关键词
Immune checkpoint inhibitor,Immunotherapy,Immune-related adverse event,Quality of life,Survivorship
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要