Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA.
Genome Med. 2021 Oct 13;13(1):160. doi: 10.1186/s13073-021-00974-z.
Immune checkpoint blockade (ICB) shows lasting benefits in advanced melanoma; however, not all patients respond to this treatment and many develop potentially life-threatening immune-related adverse events (irAEs). Identifying individuals who will develop irAEs is critical in order to improve the quality of care. Here, we prospectively demonstrate that the gut microbiome predicts irAEs in melanoma patients undergoing ICB.
Pre-, during, and post-treatment stool samples were collected from 27 patients with advanced stage melanoma treated with IPI (anti-CTLA-4) and NIVO (anti-PD1) ICB inhibitors at NYU Langone Health. We completed 16S rRNA gene amplicon sequencing, DNA deep shotgun metagenomic, and RNA-seq metatranscriptomic sequencing. The divisive amplicon denoising algorithm (DADA2) was used to process 16S data. Taxonomy for shotgun sequencing data was assigned using MetaPhlAn2, and gene pathways were assigned using HUMAnN 2.0. Compositionally aware differential expression analysis was performed using ANCOM. The Cox-proportional hazard model was used to assess the prospective role of the gut microbiome (GMB) in irAES, with adjustment for age, sex, BMI, immune ICB treatment type, and sequencing batch.
Two natural GMB clusters with distinct community compositions were identified from the analysis of 16S rRNA data (R = 0.16, p < 0.001). In Cox-proportional hazard modeling, these two clusters showed a near 7-fold differential risk for developing irAEs within 1 year of initiating treatment (HR = 6.89 [95% CI: 1.33-35.58]). Using shotgun metagenomics, we further identified 37 bacterial strains differentially expressed between the risk groups, with specific dominance of Bacteroides dorei within the high-risk GMB cluster and Bacteroides vulgatus in the low-risk cluster. The high-risk cluster also appeared to have elevated expression of several functional pathways, including those associated with adenosine metabolism (all FDR < 0.05). A sub-analysis of samples (n = 10 participants) at baseline and 6 and 12 weeks after the start of treatment revealed that the microbiome remained stable over the course of treatment (R = 0.88, p < 0.001).
We identified two distinct fecal bacterial community clusters which are associated differentially with irAEs in ICB-treated advanced melanoma patients.
免疫检查点阻断(ICB)在晚期黑色素瘤中显示出持久的疗效;然而,并非所有患者对这种治疗有反应,许多患者会发生潜在危及生命的免疫相关不良事件(irAEs)。为了提高护理质量,识别将发生 irAEs 的个体至关重要。在这里,我们前瞻性地证明了肠道微生物组可预测接受 ICB 治疗的黑色素瘤患者的 irAEs。
在 NYU Langone Health 接受 IPI(抗 CTLA-4)和 NIVO(抗 PD1)ICB 抑制剂治疗的 27 例晚期黑色素瘤患者的治疗前、治疗中和治疗后采集粪便样本。我们完成了 16S rRNA 基因扩增子测序、DNA 深度 shotgun 宏基因组和 RNA-seq 宏转录组测序。使用 DADA2 对 16S 数据进行处理。使用 MetaPhlAn2 对 shotgun 测序数据进行分类,使用 HUMAnN 2.0 分配基因途径。使用 ANCOM 进行组成性差异表达分析。使用 Cox 比例风险模型评估肠道微生物组(GMB)在 irAEs 中的前瞻性作用,并根据年龄、性别、BMI、免疫 ICB 治疗类型和测序批次进行调整。
从 16S rRNA 数据分析中鉴定出两个具有不同群落组成的自然 GMB 聚类(R = 0.16,p < 0.001)。在 Cox 比例风险模型中,这两个聚类在开始治疗后 1 年内发生 irAEs 的风险差异近 7 倍(HR = 6.89 [95% CI:1.33-35.58])。使用 shotgun 宏基因组学,我们进一步鉴定出风险组之间差异表达的 37 种细菌菌株,高风险 GMB 聚类中特定的优势菌为多形拟杆菌(Bacteroides dorei),而低风险聚类中为脆弱拟杆菌(Bacteroides vulgatus)。高风险聚类似乎还具有几种功能途径的表达升高,包括与腺苷代谢相关的途径(所有 FDR < 0.05)。在治疗开始时(n = 10 名参与者)和治疗后 6 周和 12 周的样本的亚分析表明,微生物组在治疗过程中保持稳定(R = 0.88,p < 0.001)。
我们鉴定出两个不同的粪便细菌群落聚类,它们与接受 ICB 治疗的晚期黑色素瘤患者的 irAEs 呈差异相关。