, Wien, Austria.
J Cancer Res Clin Oncol. 2023 Sep;149(11):9375-9398. doi: 10.1007/s00432-023-04718-x. Epub 2023 Apr 19.
Immune checkpoint inhibition therapy (ICIT) is an emerging field in oncology especially opening new horizons to chemotherapy refractory patients. However, immune-related adverse events (irAEs) and undesired response patterns such as progression after the initial good response in a subset of patients pose a major challenge and drawback to ICIT. This paper provides deep insight into ICIT related bottlenecks and corresponding effective management and combat strategies for very complex complications.
The relevant literatures from PubMed have been reviewed. Based on obtained information, rigorous and exhaustive analyses have been made to present novel methods and strategies against ICIT drawbacks and bottlenecks.
The results show that baseline biomarker tests are very crucial to identify suitable candidates for ICIT and frequent assessments throughout ICIT help to recognize possible irAEs at early stages. Equally important are the necessity for mathematical definitions for the ICIT success rate and optimum duration, and the development of combat mechanisms against loss of sensitivity within the tumor microenvironment (TME).
Rigorous management approaches are presented for mostly observed irAEs. Furthermore, for the first time in the literature, a non-linear mathematical model is invented to measure the ICIT success rate and to decide about the optimum ICIT duration. Finally, a strategy against tumor plasticity is introduced.
免疫检查点抑制疗法(ICIT)是肿瘤学领域的一个新兴领域,特别是为化疗耐药患者开辟了新的视野。然而,免疫相关不良事件(irAEs)和不理想的反应模式,如在一部分患者中初始反应良好后进展,对 ICIT 构成了重大挑战和障碍。本文深入探讨了与 ICIT 相关的瓶颈问题,以及针对非常复杂的并发症的有效管理和应对策略。
对来自 PubMed 的相关文献进行了回顾。基于获得的信息,进行了严格和详尽的分析,提出了针对 ICIT 缺点和瓶颈的新方法和策略。
结果表明,基线生物标志物测试对于确定适合 ICIT 的候选者非常关键,在 ICIT 过程中进行频繁评估有助于在早期识别可能的 irAEs。同样重要的是,需要对 ICIT 成功率和最佳持续时间进行数学定义,并开发针对肿瘤微环境(TME)内敏感性丧失的对抗机制。
提出了针对大多数观察到的 irAEs 的严格管理方法。此外,本文首次在文献中发明了一种非线性数学模型来测量 ICIT 成功率,并决定最佳的 ICIT 持续时间。最后,引入了一种针对肿瘤可塑性的策略。