How to assimilate the tsunami of immune checkpoints inhibitors data into clinical practice?

被引:2
作者
Castelo-Branco, Luis [1 ,2 ]
Aspeslagh, Sandrine [3 ,4 ]
Kotecki, Nuria [5 ]
Awada, Ahmad [5 ]
机构
[1] Ctr Hosp & Univ Algarve, Dept Med Oncol, Faro, Portugal
[2] Univ Nova Lisboa, Dept Epidemiol, Escola Nacl Saude Publ, Lisbon, Portugal
[3] UZBrussel, Dept Med Oncol, Jette, Belgium
[4] Hop Erasme, Dept Med Oncol, Anderlecht, Belgium
[5] Univ Libre Bruxelles, Inst Jules Bordet, Dept Oncol Med, Brussels, Belgium
关键词
immune checkpoint inhibitors; immunotherapy; ipilimumab; nivolumab; pembrolizumab; ARTIFICIAL-INTELLIGENCE; IPILIMUMAB; SURVIVAL;
D O I
10.1097/CCO.0000000000000563
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose of review Immune checkpoint inhibitors (ICIs) are rapidly changing practice across different tumor settings. With this article, we reflect on how to assimilate the tsunami of ICIs data into clinical practice. Recent findings A tremendous increase on approvals, number of publications, and clinical trials ongoing with ICIs on many different tumor types. ICIs are innovative treatments that are showing a significant benefit on different tumors. More approvals and an explosive increase of knowledge around the usage of ICI are to be expected in the near future, bringing new challenges on how to integrate this fast-growing evidence with ICI into clinical practice. To be updated, oncologists could follow approved guidelines from relevant societies and complement it with an appropriate search from publication databases. There are also some available courses, conferences and online material that are useful to improve knowledge in this so rapidly changing environment. In the future, we believe the integration of artificial intelligence and learning machines will play an important role to facilitate best clinical practices in different fields of medicine but particularly for oncology.
引用
收藏
页码:420 / 423
页数:4
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