Silveira Maruhen A D, Rodrigues Richard R, Trinchieri Giorgio
Cancer Immunobiology Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Building 37, Room 4146, Bethesda, MD 20852, USA.
Microbiome and Genetics Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Building 37, Room 4140B, Bethesda, MD 20852, USA; Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA.
Gastroenterol Clin North Am. 2025 Jun;54(2):295-315. doi: 10.1016/j.gtc.2024.10.005. Epub 2025 Jan 24.
Bacteria are associated with certain cancers and may induce genetic instability and cancer progression. The gut microbiome modulates the response to cancer therapy. Training machine learning models with response associated taxa or bacterial genes predict patients' response to immunotherapies with moderate accuracy. Clinical trials targeting the gut microbiome to improve immunotherapy efficacy have been conducted. While single bacterial strains or small consortia have not be reported yet to be successful, encouraging results have been reported in small single arm and randomized studies using transplant of fecal microbiome from cancer patients who successfully responded to therapy or from healthy volunteers.
细菌与某些癌症相关,可能会导致基因不稳定和癌症进展。肠道微生物群调节对癌症治疗的反应。使用与反应相关的分类群或细菌基因训练机器学习模型,可以中等程度准确地预测患者对免疫疗法的反应。已经开展了针对肠道微生物群以提高免疫疗法疗效的临床试验。虽然尚未报道单一细菌菌株或小型联合体取得成功,但在小型单臂研究以及使用成功应答治疗的癌症患者或健康志愿者的粪便微生物群移植的随机研究中,已报告了令人鼓舞的结果。