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抗生素对免疫治疗癌症患者结局的负面影响:一个新的独立预后因素?

The negative impact of antibiotics on outcomes in cancer patients treated with immunotherapy: a new independent prognostic factor?

机构信息

Department of Oncology, Segal Cancer Center, Jewish General Hospital, Montréal, Canada; Department of Oncology, Cedar's Cancer Center, McGill University Healthcare Center, Montréal, Canada.

Gustave Roussy Cancer Campus (GRCC), Villejuif, France; National Institute for Health and Research (INSERM), Villejuif, France; Paris-Sarclay University, Gustave Roussy, Villejuif, France.

出版信息

Ann Oncol. 2019 Oct 1;30(10):1572-1579. doi: 10.1093/annonc/mdz206.

Abstract

Immune-checkpoint inhibitors (ICI) now represent the standard of care for several cancer types. In pre-clinical models, absence of an intact gut microbiome negatively impacted ICI efficacy and these findings permitted to unravel the importance of the commensal microbiota in immuno-oncology. Recently, multiple clinical studies including more than 1800 patients in aggregate demonstrated the negative predictive impact of treatments with broad-spectrum antibiotics (ATB) on cancer patients receiving ICI. Altogether, these results have led to the hypothesis that ATB-induced dysbiosis might influence the clinical response through the modulation of the gut microbiome. Controversy still remains, as ATB treatment might simply constitute a surrogate marker of unfit or immunodeficient patients. In this review, we summarize recent publications addressing the impact of the gut microbiome on ICI efficacy, discuss currently available data on the effect of ATB administered in different time-frames respect to ICI initiation, and finally, evoke the therapeutic implications of these findings.

摘要

免疫检查点抑制剂 (ICI) 现在是几种癌症类型的标准治疗方法。在临床前模型中,完整的肠道微生物组缺失会对 ICI 的疗效产生负面影响,这些发现揭示了共生微生物群在肿瘤免疫中的重要性。最近,包括超过 1800 名患者在内的多项临床研究表明,广谱抗生素 (ATB) 治疗对接受 ICI 的癌症患者具有负面预测影响。总的来说,这些结果导致了这样的假设,即 ATB 诱导的菌群失调可能通过调节肠道微生物群影响临床反应。然而,仍存在争议,因为 ATB 治疗可能只是代表不适宜或免疫缺陷患者的替代标志物。在这篇综述中,我们总结了最近关于肠道微生物组对 ICI 疗效影响的出版物,讨论了目前关于在 ICI 启动前后不同时间点给予 ATB 的影响的数据,并最终提出了这些发现的治疗意义。

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