Dean Nathan J, d'Arienzo Paolo D, Ibraheim Hajir, Lee Karla A, Olsson-Brown Anna C, Pinato David J, Powell Nicholas
Cancer Services Division, The Royal Marsden Hospital, London, United Kingdom.
Cancer Services Division, The Royal Marsden Hospital, London, United Kingdom; Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Best Pract Res Clin Gastroenterol. 2024 Sep;72:101944. doi: 10.1016/j.bpg.2024.101944. Epub 2024 Aug 13.
Immune checkpoint inhibitors (ICIs) have revolutionised cancer therapy, yet the proportion of patients who achieve long-term disease control remain suboptimal. Over the past decade, the gut microbiome has been shown to influence immune-mediated tumour suppression as well as responses to ICI therapies. Compositional differences in gut microbiome may account for the differences in outcomes from immune checkpoint blockade. Identifying microbiota species associated with favourable/unfavourable outcomes and modelling their dynamics throughout the course of ICI treatment could help develop predictive biomarkers of immunotherapy response, and manipulating the gut microbiome represent a novel approach to enhancing ICI effectiveness. Clinically, this raises the prospect of using gut microbiome-based therapies to overcome primary resistance to ICIs, mitigate the effects of microbiome-altering drugs such as antibiotics or proton pump inhibitors, and improve overall survival in patients across numerous different cancer types.
免疫检查点抑制剂(ICIs)彻底改变了癌症治疗方式,但实现长期疾病控制的患者比例仍不尽人意。在过去十年中,肠道微生物群已被证明会影响免疫介导的肿瘤抑制以及对ICI疗法的反应。肠道微生物群的组成差异可能解释了免疫检查点阻断治疗结果的差异。识别与有利/不利结果相关的微生物种类,并模拟它们在ICI治疗过程中的动态变化,有助于开发免疫治疗反应的预测生物标志物,而操纵肠道微生物群是提高ICI疗效的一种新方法。在临床上,这增加了利用基于肠道微生物群的疗法来克服对ICIs的原发性耐药性、减轻抗生素或质子泵抑制剂等改变微生物群的药物的影响,以及提高众多不同癌症类型患者总体生存率的可能性。