Xavier Joao B
Program for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nat Rev Clin Oncol. 2025 Jun 27. doi: 10.1038/s41571-025-01049-3.
The composition of the intestinal microbiota influences the outcomes of patients receiving cancer treatment, although the best way to use this knowledge to improve cancer care remains unclear. In this Review, I synthesize the current understanding of host-microbiota dynamics in patients with cancer, and propose the integration of microbiota management guided by ecological principles in cancer care. Ecological management of the microbiota emphasizes the preservation of microbial populations - and the benefits they provide to the host - from the disruption caused by treatments such as chemotherapy and prophylactic antibiotics. The microbiota can be routinely and longitudinally monitored in patients using proven non-invasive methods, such as 16S ribosomal RNA amplicon sequencing. Longitudinal microbiome data can be processed with innovative computational tools based on principles of mathematical ecology to predict the risk of microbiota-related complications, guide treatment choices that minimize disturbance to the microbiota and restore microbial populations damaged by cancer treatment. Routine microbiome monitoring could also generate extensive datasets for human-based research, which could inform new microbiota-targeted interventions that improve responses to cancer treatments, including immune-checkpoint inhibitors. Applying ecological approaches to manage microbiota could enhance cancer care and improve patient outcomes.
肠道微生物群的组成会影响接受癌症治疗患者的治疗结果,尽管利用这一知识改善癌症护理的最佳方法仍不明确。在本综述中,我总结了目前对癌症患者体内宿主-微生物群动态的理解,并提议在癌症护理中纳入以生态学原理为指导的微生物群管理。微生物群的生态管理强调保护微生物种群及其为宿主带来的益处,使其免受化疗和预防性抗生素等治疗造成的破坏。可使用经过验证的非侵入性方法(如16S核糖体RNA扩增子测序)对患者的微生物群进行常规和纵向监测。纵向微生物组数据可通过基于数学生态学原理的创新计算工具进行处理,以预测微生物群相关并发症的风险,指导选择对微生物群干扰最小的治疗方法,并恢复因癌症治疗而受损的微生物种群。常规微生物组监测还可为基于人类的研究生成大量数据集,从而为新的以微生物群为靶点的干预措施提供依据,这些干预措施可改善对癌症治疗(包括免疫检查点抑制剂)的反应。应用生态学方法管理微生物群可加强癌症护理并改善患者治疗结果。
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