Chemoimmunotherapy for esophageal squamous cell carcinoma—Summary and discussion of recent clinical trials

MedComm – Future Medicine(2023)

引用 0|浏览1
暂无评分
摘要
Abstract As a kind of carcinoma with increasing morbidity, poor prognosis, and high mortality, esophageal squamous cell carcinoma (ESCC) is challenging for clinical management. Chemotherapy has been the standard treatment for ESCC over decades, while its clinical outcomes remain unsatisfying. And the regimen that combine standard chemotherapy with targeted therapy also demonstrates little effect. However, the advent of immune checkpoint inhibitors (ICI) proved to be a game changer in cancer treatment. Recent clinical trials had sprung up to evaluate the combined effect of ICI and chemotherapy regarding first‐line ESCC treatment. What's more, researchers attempt to explore the possibility to implement ICI monotherapy regarding second‐line ESCC treatment. In conclusion, most of the first‐line trails present inspiring achievement, while ICI monotherapy indicates little improvement for ESCC treatment. To point out the heterogenicity that could be the potential reasons biasing the pooled results, the differences of PD‐L1 immunohistochemistry (IHC) assays, geographic regions, chemotherapy regimens, and sex disparity among these trails are discussed respectively. In addition, the adverse events occurred during the trails are summarized, which confirm the safety of immunotherapy and chemoimmunotherapy. The article comprehensively reviews the representative explorations of using chemoimmunotherapy strategies in ESCC, as well as the deficiencies among them. Moreover, we highlight some feasible approaches. It will be beneficial for conducting more precise clinical trials on chemoimmunotherapy for ESCC in the future, including the use of more appropriate PD‐L1 IHC assays, careful consideration of the heterogeneity of the enrolled population and the optimal combination of chemotherapy and ICI.
更多
查看译文
关键词
chemoimmunotherapy,esophageal squamous cell carcinoma,immunotherapy,PD‐1,PD‐L1
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