Genetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Nat Med. 2022 Mar;28(3):545-556. doi: 10.1038/s41591-022-01698-2. Epub 2022 Feb 28.
Ample evidence indicates that the gut microbiome is a tumor-extrinsic factor associated with antitumor response to anti-programmed cell death protein-1 (PD-1) therapy, but inconsistencies exist between published microbial signatures associated with clinical outcomes. To resolve this, we evaluated a new melanoma cohort, along with four published datasets. Time-to-event analysis showed that baseline microbiota composition was optimally associated with clinical outcome at approximately 1 year after initiation of treatment. Meta-analysis and other bioinformatic analyses of the combined data show that bacteria associated with favorable response are confined within the Actinobacteria phylum and the Lachnospiraceae/Ruminococcaceae families of Firmicutes. Conversely, Gram-negative bacteria were associated with an inflammatory host intestinal gene signature, increased blood neutrophil-to-lymphocyte ratio, and unfavorable outcome. Two microbial signatures, enriched for Lachnospiraceae spp. and Streptococcaceae spp., were associated with favorable and unfavorable clinical response, respectively, and with distinct immune-related adverse effects. Despite between-cohort heterogeneity, optimized all-minus-one supervised learning algorithms trained on batch-corrected microbiome data consistently predicted outcomes to programmed cell death protein-1 therapy in all cohorts. Gut microbial communities (microbiotypes) with nonuniform geographical distribution were associated with favorable and unfavorable outcomes, contributing to discrepancies between cohorts. Our findings shed new light on the complex interaction between the gut microbiome and response to cancer immunotherapy, providing a roadmap for future studies.
大量证据表明,肠道微生物组是与抗程序性细胞死亡蛋白-1(PD-1)治疗的抗肿瘤反应相关的肿瘤外在因素,但与临床结果相关的微生物特征在已发表的研究中存在不一致性。为了解决这个问题,我们评估了一个新的黑色素瘤队列,以及四个已发表的数据集。生存时间分析表明,基线微生物群落组成与治疗开始后大约 1 年的临床结果最佳相关。对合并数据的荟萃分析和其他生物信息学分析表明,与有利反应相关的细菌局限于放线菌门和厚壁菌门的lachnospiraceae/ ruminococcaceae 科。相反,革兰氏阴性菌与炎症宿主肠道基因特征、血液中性粒细胞与淋巴细胞比值升高和不良预后相关。两个微生物特征,富含lachnospiraceae spp. 和 streptococcaceae spp.,分别与有利和不利的临床反应相关,并与不同的免疫相关不良事件相关。尽管存在队列间异质性,但在经过批次校正的微生物组数据上进行的全减一监督学习算法优化后,始终能够预测所有队列中 PD-1 治疗的结果。具有非均匀地理分布的肠道微生物群落(微生物型)与有利和不利的结果相关,导致了队列之间的差异。我们的研究结果为肠道微生物组与癌症免疫治疗反应之间的复杂相互作用提供了新的认识,并为未来的研究提供了路线图。