CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Overcoming tumour resistance in cancer immunotherapy through predictive and pharmacodynamic biomarkers.
Overcoming tumour resistance in cancer immunotherapy through predictive and pharmacodynamic biomarkers.
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癌症免疫疗法通过利用患者免疫系统的力量精确靶向癌细胞,彻底改变了某些恶性肿瘤的治疗。尽管取得了重大进展,但免疫疗法的疗效常常受到肿瘤微环境(TME)中内在和外在耐药机制的阻碍。本综述阐述了免疫疗法与其他治疗联合使用的互补效应,以及识别推定生物标志物以预测治疗活性和监测治疗反应的必要性。生物标志物通过揭示肿瘤代谢异质性和对其他通路的依赖性,在应对免疫疗法耐药挑战方面展现出可观的前景。此外,对细胞外囊泡及其对TME影响的深入了解可能开辟新的视角,从而增强免疫疗法的效果。除此之外,多种类型的癌症免疫疗法,如检查点抑制剂、细胞因子和CAR-T 细胞疗法,在某些肿瘤中已显示出优异的结果,但响应率的不一致和免疫相关问题凸显了持续研究的重要性。本综述文章强调了生物标志物在疾病诊断、预后和监测中的重要性,并建议将其整合到临床实践中,以支持改善患者预后并帮助开发更有效的抗癌药物。
Cancer immunotherapy has revolutionized the treatment of certain malignancies by harnessing the power of the patient's immune system to target cancer cells precisely. Despite significant advancements, the efficacy of immunotherapy is frequently hindered by intrinsic and extrinsic resistance mechanisms within the tumour microenvironment (TME).
This review explains the complementary effect of using immunotherapies alongside other treatments and the need to identify the putative biomarkers to predict therapeutic activity and monitor the response to treatment. Biomarkers demonstrate considerable prospects in addressing the challenges of immunotherapy resistance by revealing tumour metabolic heterogeneity and dependence on other pathways.
Moreover, the enhanced knowledge of extracellular vesicles and their effects on the TME might open up new insights, which would allow enhancing the effect of immunotherapy.
In addition to this, several types of cancer immunotherapies, such as checkpoint inhibitors, cytokines, and CAR T-cell therapies, have shown excellent results in certain tumours, with inconsistencies in response rates and immune-related issues highlighting the importance of ongoing research. The given review article underlines the significance of biomarkers in diagnosing, prognosing, and monitoring diseases and suggests their integration into clinical practice to support the improved outcomes of patients and help to develop more efficient cancer drugs.
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